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Medical-image Analysis and Statistical Interpretation Lab

Publications

Full manuscripts are presented in the posts section. Please search for a title or keyword at right to link to manuscript details. (Updated September 2023)

Refereed Journal Articles

  1. Nancy R. Newlin, Michael E. Kim, Praitayini Kanakaraj, Tianyuan Yao, Timothy Hohman, Kimberly R. Pechman, Lori L. Beason-Held, Susan M. Resnick, Derek Archer, Angela Jefferson, Bennett A. Landman, Daniel Moyer, MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal, Magnetic Resonance Imaging, 2024, ISSN 0730-725X, https://doi.org/10.1016/j.mri.2024.03.033.
  2. Bermudez C, Remedios SW, Ramadass K, McHugo M, Heckers S, Huo Y, Landman BA. Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning. J Med Imaging (Bellingham). 2020 Nov;7(6):064004. doi: 10.1117/1.JMI.7.6.064004. PMCID: PMC7757519.
  3. Moore EE, Liu D, Bown CW, Kresge HA, Gupta DK, Pechman KR, Mendes LA, Davis LT, Gifford KA, Anderson AW, Wang TJ, Landman BA, Hohman TJ, Jefferson AL. Lower cardiac output is associated with neurodegeneration among older adults with normal cognition but not mild cognitive impairment. Brain Imaging Behav. 2021 Aug;15(4):2040-2050. doi: 10.1007/s11682-020-00398-0. PMCID: PMC8035362.
  4. Lahey BB, Hinton KE, Burgess L, Meyer FC, Landman BA, Villata-Gil V, Yang X, Rathouz PJ, Applegate B, Zald DH. Dispositional Negative Emotionality in Childhood and Adolescence Predicts Structural Variation in the Amygdala and Caudal Anterior Cingulate During Early Adulthood: Theoretically and Empirically Based Tests. Res Child Adolesc Psychopathol. 2021 Oct;49(10):1275-1288. doi: 10.1007/s10802-021-00811-2. PMID: 33871795.
  5. Hansen CB, Yang Q, Lyu I, Rheault F, Kerley C, Chandio BQ, Fadnavis S, Williams O, Shafer AT, Resnick SM, Zald DH, Cutting LE, Taylor WD, Boyd B, Garyfallidis E, Anderson AW, Descoteaux M, Landman BA, Schilling KG. Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. Neuroinformatics. 2021 Jul;19(3):447-460. doi: 10.1007/s12021-020-09497-1. PMCID: PMC8124084.
  6. Tang Y, Gao R, Lee HH, Han S, Chen Y, Gao D, Nath V, Bermudez C, Savona MR, Abramson RG, Bao S, Lyu I, Huo Y, Landman BA. High-resolution 3D abdominal segmentation with random patch network fusion. Med Image Anal. 2021 Apr;69:101894. doi: 10.1016/j.media.2020.101894. PMCID: PMC9087814.
  7. Hansen CB, Rogers BP, Schilling KG, Nath V, Blaber JA, Irfanoglu O, Barnett A, Pierpaoli C, Anderson AW, Landman BA. Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI. Magn Reson Imaging. 2021 Feb;76:69-78. doi: 10.1016/j.mri.2020.11.005. PMCID: PMC7770121.
  8. Lakhani DA, Chen SC, Antic S, Muterspaugh A, Cook C, Liu N, Shujat H, Jouan S, Winston B, Fields K, Wenstrup J, Block SL, Hinton A, Miller A, Atmajoana S, Helton JT, Patel K, Balar AB, Brewer K, Nag S, Singh R, Disher A, Huerta L, Fremont R, Rickman O, Chen H, Eisenberg R, Sandler KL, Paulson A, Walker RC, Shah C, Smith GT, Landman B, Deppen S, Grogan EL, Aldrich MC, Massion PP. Establishing a Cohort and a Biorepository to Identify Biomarkers for Early Detection of Lung Cancer: The Nashville Lung Cancer Screening Trial Cohort. Ann Am Thorac Soc. 2021 Jul;18(7):1227-1234. doi: 10.1513/AnnalsATS.202004-344OC. PMCID: PMC8328369.
  9. Hett K, Lyu I, Trujillo P, Lopez AM, Aumann M, Larson KE, Hedera P, Dawant B, Landman BA, Claassen DO, Oguz I. Anatomical texture patterns identify cerebellar distinctions between essential tremor and Parkinson’s disease. Hum Brain Mapp. 2021 Jun 1;42(8):2322-2331. doi: 10.1002/hbm.25331. PMCID: PMC8090778.
  10. Tang Y, Gao R, Lee HH, Chen Y, Gao D, Bermudez C, Bao S, Huo Y, Savoie BV, Landman BA. Phase identification for dynamic CT enhancements with generative adversarial network. Med Phys. 2021 Mar;48(3):1276-1285. doi: 10.1002/mp.14706. PMCID: PMC9053868.
  11. Nath V, Yang D, Landman BA, Xu D, Roth HR. Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Trans Med Imaging. 2021 Oct;40(10):2534-2547. doi: 10.1109/TMI.2020.3048055. PMID: 33373298. (PMC: Non-federal)
  12. Cai LY, Yang Q, Hansen CB, Nath V, Ramadass K, Johnson GW, Conrad BN, Boyd BD, Begnoche JP, Beason-Held LL, Shafer AT, Resnick SM, Taylor WD, Price GR, Morgan VL, Rogers BP, Schilling KG, Landman BA. PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images. Magn Reson Med. 2021 Jul;86(1):456-470. doi: 10.1002/mrm.28678. PMCID: PMC8387107.
  13. Lyu I, Bao S, Hao L, Yao J, Miller JA, Voorhies W, Taylor WD, Bunge SA, Weiner KS, Landman BA. Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training. Neuroimage. 2021 Apr 1;229:117758. doi: 10.1016/j.neuroimage.2021.117758. PMCID: PMC8366030
  14. Tang Y, Gao R, Han S, Chen Y, Gao D, Nath V, Bermudez C, Savona MR, Bao S, Lyu I, Huo Y, Landman BA. Body Part Regression With Self-Supervision. IEEE Trans Med Imaging. 2021 May;40(5):1499-1507. doi: 10.1109/TMI.2021.3058281. PMID: 33560981.
  15. Wiesenfarth M, Reinke A, Landman BA, Eisenmann M, Saiz LA, Cardoso MJ, Maier-Hein L, Kopp-Schneider A. Methods and open-source toolkit for analyzing and visualizing challenge results. Sci Rep. 2021 Jan 27;11(1):2369. doi: 10.1038/s41598-021-82017-6. Erratum in: Sci Rep. 2021 May 6;11(1):10144. PMCID: PMC7841186.
  16. Morgan VL, Johnson GW, Cai LY, Landman BA, Schilling KG, Englot DJ, Rogers BP, Chang C. MRI network progression in mesial temporal lobe epilepsy related to healthy brain architecture. Netw Neurosci. 2021 Apr 27;5(2):434-450. doi: 10.1162/netn_a_00184. PMCID: PMC8233120.
  17. Sun Y, Gao K, Wu Z, Li G, Zong X, Lei Z, Wei Y, Ma J, Yang X, Feng X, Zhao L, Le Phan T, Shin J, Zhong T, Zhang Y, Yu L, Li C, Basnet R, Ahmad MO, Swamy MNS, Ma W, Dou Q, Bui TD, Noguera CB, Landman B, Gotlib IH, Humphreys KL, Shultz S, Li L, Niu S, Lin W, Jewells V, Shen D, Li G, Wang L. Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans Med Imaging. 2021 May;40(5):1363-1376. doi: 10.1109/TMI.2021.3055428. PMCID: PMC8246057.
  18. Yang Y, Tang Y, Gao R, Bao S, Huo Y, McKenna MT, Savona MR, Abramson RG, Landman BA. Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans. J Med Imaging. 2021 Jan;8(1):014004. doi: 10.1117/1.JMI.8.1.014004. PMCID: PMC7893322.
  19. Zhao M, Jha A, Liu Q, Millis BA, Mahadevan-Jansen A, Lu L, Landman BA, Tyska MJ, Huo Y. Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Med Image Anal. 2021 Jul;71:102048. doi: 10.1016/j.media.2021.102048. PMID: 33872961. (PMC: Non-NIH)
  20. Barnett AS, Irfanoglu MO, Landman B, Rogers B, Pierpaoli C. Mapping gradient nonlinearity and miscalibration using diffusion-weighted MR images of a uniform isotropic phantom. Magn Reson Med. 2021 Dec;86(6):3259-3273. doi: 10.1002/mrm.28890. PMCID: PMC8596767.
  21. Damon BM, Ding Z, Hooijmans MT, Anderson AW, Zhou X, Coolbaugh CL, George MK, Landman BA. A MATLAB toolbox for muscle diffusion-tensor MRI tractography. J Biomech. 2021 Jul 19;124:110540. doi: 10.1016/j.jbiomech.2021.110540. PMCID: PMC9673086.
  22. Cai LY, Yang Q, Kanakaraj P, Nath V, Newton AT, Edmonson HA, Luci J, Conrad BN, Price GR, Hansen CB, Kerley CI, Ramadass K, Yeh FC, Kang H, Garyfallidis E, Descoteaux M, Rheault F, Schilling KG, Landman BA. MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI. Magn Reson Med. 2021 Dec;86(6):3304-3320. doi: 10.1002/mrm.28926. PMCID: PMC9087815. (Selected as MRM Highlights Article)
  23. Zoltowski AR, Lyu I, Failla M, Mash LE, Dunham K, Feldman JI, Woynaroski TG, Wallace MT, Barquero LA, Nguyen TQ, Cutting LE, Kang H, Landman BA, Cascio CJ. Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing. Cereb Cortex. 2021 Oct 1;31(11):5188-5205. doi: 10.1093/cercor/bhab151. PMCID: PMC8491691.
  24. Moore EE, Khan OA, Shashikumar N, Pechman KR, Liu D, Bell SP, Nair S, Terry JG, Gifford KA, Anderson AW, Landman BA, Blennow K, Zetterberg H, Hohman TJ, Carr JJ, Jefferson AL. Axonal Injury Partially Mediates Associations Between Increased Left Ventricular Mass Index and White Matter Damage. Stroke. 2022 Mar;53(3):808-816. doi: 10.1161/STROKEAHA.121.034349. PMCID: PMC8885768.
  25. De Luca A, Ianus A, Leemans A, Palombo M, Shemesh N, Zhang H, Alexander DC, Nilsson M, Froeling M, Biessels GJ, Zucchelli M, Frigo M, Albay E, Sedlar S, Alimi A, Deslauriers-Gauthier S, Deriche R, Fick R, Afzali M, Pieciak T, Bogusz F, Aja-Fernández S, Özarslan E, Jones DK, Chen H, Jin M, Zhang Z, Wang F, Nath V, Parvathaneni P, Morez J, Sijbers J, Jeurissen B, Fadnavis S, Endres S, Rokem A, Garyfallidis E, Sanchez I, Prchkovska V, Rodrigues P, Landman BA, Schilling KG. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences, and tissue types: Chronicles of the MEMENTO challenge. Neuroimage. 2021 Oct 15;240:118367. doi: 10.1016/j.neuroimage.2021.118367. PMID: 34237442. (PMC: Non-NIH)
  26. Remedios LW, Lingam S, Remedios SW, Gao R, Clark SW, Davis LT, Landman BA. Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography. Med Phys. 2021 Oct;48(10):6060-6068. doi: 10.1002/mp.15122. PMCID: PMC8568625.
  27. Ostertag C, Reynolds JE, Dewey D, Landman B, Huo Y, Lebel C. Altered gray matter development in pre-reading children with a family history of reading disorder. Dev Sci. 2022 Mar;25(2):e13160. doi: 10.1111/desc.13160. PMID: 34278658. (PMC: Non-Federal)
  28. Schilling KG, Tax CMW, Rheault F, Hansen C, Yang Q, Yeh FC, Cai L, Anderson AW, Landman BA. Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. Neuroimage. 2021 Nov 15;242:118451. doi: 10.1016/j.neuroimage.2021.118451. PMID: 34358660. PMC9933001
  29. He M, Nolen JR, Nordlander J, Cleri A, McIlwaine NS, Tang Y, Lu G, Folland TG, Landman BA, Maria JP, Caldwell JD. Deterministic inverse design of Tamm plasmon thermal emitters with multi-resonant control. Nat Mater. 2021 Dec;20(12):1663-1669. doi: 10.1038/s41563-021-01094-0. PMID: 34675374. (PMC: Non-NIH)
  30. Kammer MN, Lakhani DA, Balar AB, Antic SL, Kussrow AK, Webster RL, Mahapatra S, Barad U, Shah C, Atwater T, Diergaarde B, Qian J, Kaizer A, New M, Hirsch E, Feser WJ, Strong J, Rioth M, Miller YE, Balagurunathan Y, Rowe DJ, Helmey S, Chen SC, Bauza J, Deppen SA, Sandler K, Maldonado F, Spira A, Billatos E, Schabath MB, Gillies RJ, Wilson DO, Walker RC, Landman B, Chen H, Grogan EL, Barón AE, Bornhop DJ, Massion PP. Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules. Am J Respir Crit Care Med. 2021 Dec 1;204(11):1306-1316. doi: 10.1164/rccm.202012-4438OC. PMCID: PMC8786067.
  31. Plassard AJ, Bao S, McHugo M, Beason-Held L, Blackford JU, Heckers S, Landman BA. Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe. Magn Reson Imaging. 2021 Sep;81:17-23. doi: 10.1016/j.mri.2021.04.011. PMCID: PMC8715642.
  32. Schilling KG, Rheault F, Petit L, Hansen CB, Nath V, Yeh FC, Girard G, Barakovic M, Rafael-Patino J, Yu T, Fischi-Gomez E, Pizzolato M, Ocampo-Pineda M, Schiavi S, Canales-Rodríguez EJ, Daducci A, Granziera C, Innocenti G, Thiran JP, Mancini L, Wastling S, Cocozza S, Petracca M, Pontillo G, Mancini M, Vos SB, Vakharia VN, Duncan JS, Melero H, Manzanedo L, Sanz-Morales E, Peña-Melián Á, Calamante F, Attyé A, Cabeen RP, Korobova L, Toga AW, Vijayakumari AA, Parker D, Verma R, Radwan A, Sunaert S, Emsell L, De Luca A, Leemans A, Bajada CJ, Haroon H, Azadbakht H, Chamberland M, Genc S, Tax CMW, Yeh PH, Srikanchana R, Mcknight CD, Yang JY, Chen J, Kelly CE, Yeh CH, Cochereau J, Maller JJ, Welton T, Almairac F, Seunarine KK, Clark CA, Zhang F, Makris N, Golby A, Rathi Y, O’Donnell LJ, Xia Y, Aydogan DB, Shi Y, Fernandes FG, Raemaekers M, Warrington S, Michielse S, Ramírez-Manzanares A, Concha L, Aranda R, Meraz MR, Lerma-Usabiaga G, Roitman L, Fekonja LS, Calarco N, Joseph M, Nakua H, Voineskos AN, Karan P, Grenier G, Legarreta JH, Adluru N, Nair VA, Prabhakaran V, Alexander AL, Kamagata K, Saito Y, Uchida W, Andica C, Abe M, Bayrak RG, Wheeler-Kingshott CAMG, D’Angelo E, Palesi F, Savini G, Rolandi N, Guevara P, Houenou J, López-López N, Mangin JF, Poupon C, Román C, Vázquez A, Maffei C, Arantes M, Andrade JP, Silva SM, Calhoun VD, Caverzasi E, Sacco S, Lauricella M, Pestilli F, Bullock D, Zhan Y, Brignoni-Perez E, Lebel C, Reynolds JE, Nestrasil I, Labounek R, Lenglet C, Paulson A, Aulicka S, Heilbronner SR, Heuer K, Chandio BQ, Guaje J, Tang W, Garyfallidis E, Raja R, Anderson AW, Landman BA, Descoteaux M. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? Neuroimage. 2021 Nov;243:118502. doi: 10.1016/j.neuroimage.2021.118502. PMCID: PMC8855321.
  33. Kammer MN, Deppen SA, Antic S, Jamshedur Rahman SM, Eisenberg R, Maldonado F, Aldrich MC, Sandler KL, Landman B, Massion PP, Grogan EL. The impact of the lung EDRN-CVC on Phase 1, 2, & 3 biomarker validation studies. Cancer Biomark. 2022;33(4):449-465. doi: 10.3233/CBM-210382. PMID: 35491773.
  34. Gao R, Tang Y, Khan MS, Xu K, Paulson AB, Sullivan S, Huo Y, Deppen S, Massion PP, Sandler KL, Landman BA. Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements. Radiol Artif Intell. 2021 Oct 13;3(6):e210032. doi: 10.1148/ryai.2021210032. PMCID: PMC8637232.
  35. Robb WH, Khan OA, Ahmed HA, Li J, Moore EE, Cambronero FE, Pechman KR, Liu D, Gifford KA, Landman BA, Donahue MJ, Hohman TJ, Jefferson AL. Lower cerebral oxygen utilization is associated with Alzheimer’s disease-related neurodegeneration and poorer cognitive performance among apolipoprotein E ε4 carriers. J Cereb Blood Flow Metab. 2022 Apr;42(4):642-655. doi: 10.1177/0271678X211056393. PMCID: PMC9051148.
  36. Schilling KG, Tax CMW, Rheault F, Landman BA, Anderson AW, Descoteaux M, Petit L. Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography. Hum Brain Mapp. 2022 Mar;43(4):1196-1213. doi: 10.1002/hbm.25697. PMCID: PMC8837578.
  37. Bown CW, Khan OA, Moore EE, Liu D, Pechman KR, Cambronero FE, Terry JG, Nair S, Davis LT, Gifford KA, Landman BA, Hohman TJ, Carr JJ, Jefferson AL. Elevated Aortic Pulse Wave Velocity Relates to Longitudinal Gray and White Matter Changes. Arterioscler Thromb Vasc Biol. 2021 Dec;41(12):3015-3024. doi: 10.1161/ATVBAHA.121.316477. PMCID: PMC8627676.
  38. Rheault F, Bayrak RG, Wang X, Schilling KG, Greer JM, Hansen CB, Kerley C, Ramadass K, Remedios LW, Blaber JA, Williams O, Beason-Held LL, Resnick SM, Rogers BP, Landman BA. TractEM: Evaluation of protocols for deterministic tractography white matter atlas. Magn Reson Imaging. 2022 Jan;85:44-56. doi: 10.1016/j.mri.2021.10.017. PMCID: PMC8629950.
  39. Kerley CI, Chaganti S, Nguyen TQ, Bermudez C, Cutting LE, Beason-Held LL, Lasko T, Landman BA. pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. Neuroinformatics. 2022 Apr;20(2):483-505. doi: 10.1007/s12021-021-09553-4. PMCID: PMC9250547.
  40. Nguyen EH, Yang H, Deng R, Lu Y, Zhu Z, Roland JT, Lu L, Landman BA, Fogo AB, Huo Y. Circle Representation for Medical Object Detection. IEEE Trans Med Imaging. 2022 Mar;41(3):746-754. doi: 10.1109/TMI.2021.3122835. PMCID: PMC8963364.
  41. Yang Q, Hansen CB, Cai LY, Rheault F, Lee HH, Bao S, Chandio BQ, Williams O, Resnick SM, Garyfallidis E, Anderson AW, Descoteaux M, Schilling KG, Landman BA. Learning white matter subject-specific segmentation from structural MRI. Med Phys. 2022 Apr;49(4):2502-2513. doi: 10.1002/mp.15495. PMCID: PMC9053869.
  42. Shafer AT, Beason-Held L, An Y, Williams OA, Huo Y, Landman BA, Caffo BS, Resnick SM. Default mode network connectivity and cognition in the aging brain: the effects of age, sex, and APOE genotype. Neurobiol Aging. 2021 Aug;104:10-23. doi: 10.1016/j.neurobiolaging.2021.03.013. PMID: 33957555.
  43. Donnici C, Long X, Dewey D, Letourneau N, Landman B, Huo Y, Lebel C. Prenatal and postnatal maternal anxiety and amygdala structure and function in young children. Sci Rep. 2021 Feb 17;11(1):4019. doi: 10.1038/s41598-021-83249-2. PMCID: PMC7889894.
  44. Archer DB, Moore EE, Pamidimukkala U, Shashikumar N, Pechman KR, Blennow K, Zetterberg H, Landman BA, Hohman TJ, Jefferson AL, Gifford KA. The relationship between white matter microstructure and self-perceived cognitive decline. Neuroimage Clin. 2021;32:102794. doi: 10.1016/j.nicl.2021.102794. PMCID: PMC8414539.
  45. Eyoh EE, Failla MD, Williams ZJ, Schwartz KL, Cutting LE, Landman BA, Cascio CJ. Brief Report: The Characterization of Medical Comorbidity Prior to Autism Diagnosis in Children Before Age Two. J Autism Dev Disord. 2021 Dec 1:10.1007/s10803-021-05380-3. doi: 10.1007/s10803-021-05380-3. PMCID: PMC9156724.
  46. Ahmed R, Ryan C, Christman S, Elson D, Bermudez C, Landman BA, Szymkowicz SM, Boyd BD, Kang H, Taylor WD. Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression. Am J Geriatr Psychiatry. 2022 Sep;30(9):1015-1025. doi: 10.1016/j.jagp.2021.11.011. PMCID: PMC9142760.
  47. Khan MS, Landman BA, Deppen SA, Matheny ME. Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. AMIA Annu Symp Proc. 2022 Feb 21;2021:631-640. PMCID: PMC8861761.
  48. Rheault F, Schilling KG, Valcourt-Caron A, Théberge A, Poirier C, Grenier G, Guberman GI, Begnoche J, Legarreta JH, Y Cai L, Roy M, Edde M, Caceres MP, Ocampo-Pineda M, Al-Sharif N, Karan P, Bontempi P, Obaid S, Bosticardo S, Schiavi S, Sairanen V, Daducci A, Cutting LE, Petit L, Descoteaux M, Landman BA. Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination. Hum Brain Mapp. 2022 May;43(7):2134-2147. doi: 10.1002/hbm.25777. PMCID: PMC8996349.
  49. Shafer AT, Williams OA, Perez E, An Y, Landman BA, Ferrucci L, Resnick SM. Accelerated decline in white matter microstructure in subsequently impaired older adults and its relationship with cognitive decline. Brain Commun. 2022 Mar 1;4(2):fcac051. doi: 10.1093/braincomms/fcac051. PMCID: PMC8963308.
  50. Kanakaraj P, Ramadass K, Bao S, Basford M, Jones LM, Lee HH, Xu K, Schilling KG, Carr JJ, Terry JG, Huo Y, Sandler KL, Netwon AT, Landman BA. Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. J Digit Imaging. 2022 Aug;35(4):1023-1033. doi: 10.1007/s10278-022-00601-2. PMCID: PMC9485498.
  51. Radwan AM, Sunaert S, Schilling K, Descoteaux M, Landman BA, Vandenbulcke M, Theys T, Dupont P, Emsell L. An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI. Neuroimage. 2022 Jul 1;254:119029. doi: 10.1016/j.neuroimage.2022.119029. PMID: 35231632.
  52. Baru C, Pozmantier M, Altintas I, Baek S, Cohen J, Condon L, Fanti G, Fernandez RC, Jackson E, Lall U, Landman B, Li HH, Marin C, Lopez BM, Metaxas D, Olsen B, Page G, Shang J, Turkan Y, Zhang P. 2022. Enabling AI innovation via data and model sharing: An overview of the NSF Convergence Accelerator Track D. AI Magazine 43: 93– 104. https://doi.org/10.1002/aaai.12042
  53. Lee HH, Tang Y, Xu K, Bao S, Fogo AB, Harris R, de Caestecker MP, Heinrich M, Spraggins JM, Huo Y, Landman BA. Multi-contrast computed tomography healthy kidney atlas. Comput Biol Med. 2022 Jul;146:105555. doi: 10.1016/j.compbiomed.2022.105555. PMID: 35533459.
  54. Yang Q, Yu X, Lee HH, Tang Y, Bao S, Gravenstein KS, Moore AZ, Makrogiannis S, Ferrucci L, Landman BA. Label efficient segmentation of single slice thigh CT with two-stage pseudo labels. J Med Imaging (Bellingham). 2022 Sep;9(5):052405. doi: 10.1117/1.JMI.9.5.052405. PMCID: PMC9118142.
  55. Schilling KG, Archer D, Yeh FC, Rheault F, Cai LY, Hansen C, Yang Q, Ramdass K, Shafer AT, Resnick SM, Pechman KR, Gifford KA, Hohman TJ, Jefferson A, Anderson AW, Kang H, Landman BA. Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants. Brain Struct Funct. 2022 Jul;227(6):2111-2125. doi: 10.1007/s00429-022-02503-z. PMCID: PMC9648053.
  56. Antonelli M, Reinke A, Bakas S, Farahani K, Kopp-Schneider A, Landman BA, Litjens G, Menze B, Ronneberger O, Summers RM, van Ginneken B, Bilello M, Bilic P, Christ PF, Do RKG, Gollub MJ, Heckers SH, Huisman H, Jarnagin WR, McHugo MK, Napel S, Pernicka JSG, Rhode K, Tobon-Gomez C, Vorontsov E, Meakin JA, Ourselin S, Wiesenfarth M, Arbeláez P, Bae B, Chen S, Daza L, Feng J, He B, Isensee F, Ji Y, Jia F, Kim I, Maier-Hein K, Merhof D, Pai A, Park B, Perslev M, Rezaiifar R, Rippel O, Sarasua I, Shen W, Son J, Wachinger C, Wang L, Wang Y, Xia Y, Xu D, Xu Z, Zheng Y, Simpson AL, Maier-Hein L, Cardoso MJ. The Medical Segmentation Decathlon. Nat Commun. 2022 Jul 15;13(1):4128. doi: 10.1038/s41467-022-30695-9. PMCID: PMC9287542.
  57. Maffei C, Girard G, Schilling KG, Aydogan DB, Adluru N, Zhylka A, Wu Y, Mancini M, Hamamci A, Sarica A, Teillac A, Baete SH, Karimi D, Yeh FC, Yildiz ME, Gholipour A, Bihan-Poudec Y, Hiba B, Quattrone A, Quattrone A, Boshkovski T, Stikov N, Yap PT, de Luca A, Pluim J, Leemans A, Prabhakaran V, Bendlin BB, Alexander AL, Landman BA, Canales-Rodríguez EJ, Barakovic M, Rafael-Patino J, Yu T, Rensonnet G, Schiavi S, Daducci A, Pizzolato M, Fischi-Gomez E, Thiran JP, Dai G, Grisot G, Lazovski N, Puch S, Ramos M, Rodrigues P, Prčkovska V, Jones R, Lehman J, Haber SN, Yendiki A. Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. Neuroimage. 2022 Aug 15;257:119327. doi: 10.1016/j.neuroimage.2022.119327. PMCID: PMC9453851.
  58. Begnoche JP, Schilling KG, Boyd BD, Cai LY, Taylor WD, Landman BA. EPI susceptibility correction introduces significant differences far from local areas of high distortion. Magn Reson Imaging. 2022 Oct;92:1-9. doi: 10.1016/j.mri.2022.05.016. PMID: 35644448.
  59. Liu Y, Huo Y, Dewey B, Wei Y, Lyu I, Landman BA. Generalizing deep learning brain segmentation for skull removal and intracranial measurements. Magn Reson Imaging. 2022 May;88:44-52. doi: 10.1016/j.mri.2022.01.004. PMID: 34999162.
  60. Rheault F, Schilling KG, Obaid S, Begnoche JP, Cutting LE, Descoteaux M, Landman BA, Petit L. The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow. Brain Struct Funct. 2022 Jul;227(6):2191-2207. doi: 10.1007/s00429-022-02518-6. PMCID: PMC9884471.
  61. Hansen CB, Schilling KG, Rheault F, Resnick S, Shafer AT, Beason-Held LL, Landman BA. Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRI. Magn Reson Imaging. 2022 Nov;93:73-86. doi: 10.1016/j.mri.2022.06.004. PMID: 35716922. PMC9901230
  62. Schilling KG, Palombo M, O’Grady KP, Combes AJE, Anderson AW, Landman BA, Smith SA. Minimal number of sampling directions for robust measures of the spherical mean diffusion weighted signal: Effects of sampling directions, b-value, signal-to-noise ratio, hardware, and fitting strategy. Magn Reson Imaging. 2022 Dec;94:25-35. doi: 10.1016/j.mri.2022.07.015. PMID: 35931321.
  63. Bao S, Boyd BD, Kanakaraj P, Ramadass K, Meyer FAC, Liu Y, Duett WE, Huo Y, Lyu I, Zald DH, Smith SA, Rogers BP, Landman BA. Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. J Digit Imaging. 2022 Dec;35(6):1576-1589. doi: 10.1007/s10278-022-00679-8. PMCID: PMC9712842.
  64. Schilling KG, Li M, Rheault F, Ding Z, Anderson AW, Kang H, Landman BA, Gore JC. Anomalous and heterogeneous characteristics of the BOLD hemodynamic response function in white matter. Cereb Cortex Commun. 2022 Aug 18;3(3):tgac035. doi: 10.1093/texcom/tgac035. PMCID: PMC9519945.
  65. Erickson KR, Farmer R, Merritt JK, Miletic Lanaghan Z, Does MD, Ramadass K, Landman BA, Cutting LE, Neul JL. Behavioral and brain anatomical analysis of Foxg1 heterozygous mice. PLoS One. 2022 Oct 12;17(10):e0266861. doi: 10.1371/journal.pone.0266861. PMCID: PMC9555627.
  66. Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu’aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Federated learning enables big data for rare cancer boundary detection. Nat Commun. 2022 Dec 5;13(1):7346. doi: 10.1038/s41467-022-33407-5. Erratum in: Nat Commun. 2023 Jan 26;14(1):436. PMCID: PMC9722782.
  67. Gao R, Li T, Tang Y, Xu K, Khan M, Kammer M, Antic SL, Deppen S, Huo Y, Lasko TA, Sandler KL, Maldonado F, Landman BA. Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput Biol Med. 2022 Sep 29;150:106113. doi: 10.1016/j.compbiomed.2022.106113. PMID: 36198225.
  68. Bown CW, Khan OA, Liu D, Remedios SW, Pechman KR, Terry JG, Nair S, Davis LT, Landman BA, Gifford KA, Hohman TJ, Carr JJ, Jefferson AL. Enlarged perivascular space burden associations with arterial stiffness and cognition. Neurobiol Aging. 2022 Nov 5:S0197-4580(22)00228-7. doi: 10.1016/j.neurobiolaging.2022.10.014. PMID: 36446680. PMC9957942
  69. Hering A, Hansen L, Mok TCW, Chung ACS, Siebert H, Hager S, Lange A, Kuckertz S, Heldmann S, Shao W, Vesal S, Rusu M, Sonn G, Estienne T, Vakalopoulou M, Han L, Huang Y, Yap PT, Brudfors M, Balbastre Y, Joutard S, Modat M, Lifshitz G, Raviv D, Lv J, Li Q, Jaouen V, Visvikis D, Fourcade C, Rubeaux M, Pan W, Xu Z, Jian B, De Benetti F, Wodzinski M, Gunnarsson N, Sjolund J, Grzech D, Qiu H, Li Z, Thorley A, Duan J, Grossbrohmer C, Hoopes A, Reinertsen I, Xiao Y, Landman B, Huo Y, Murphy K, Lessmann N, Van Ginneken B, Dalca AV, Heinrich MP. Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. IEEE Trans Med Imaging. 2022 Oct 20;PP. doi: 10.1109/TMI.2022.3213983. PMID: 36264729. (PMC/Non-Federal)
  70. Ahmed R, Boyd BD, Elson D, Albert K, Begnoche P, Kang H, Landman BA, Szymkowicz SM, Andrews P, Vega J, Taylor WD. Influences of resting-state intrinsic functional brain connectivity on the antidepressant treatment response in late-life depression. Psychol Med. 2022 Dec 9:1-10. doi: 10.1017/S0033291722003579. PMID: 36482694.
  71. Aboud KS, Nguyen TQ, Del Tufo SN, Chang C, Zald DH, Key AP, Price GR, Landman BA, Cutting LE. Rapid Interactions of Widespread Brain Networks Characterize Semantic Cognition. J Neurosci. 2023 Jan 4;43(1):142-154. doi: 10.1523/JNEUROSCI.0529-21.2022. PMCID: PMC9838707.
  72. Tian Q, Schrack JA, Landman BA, Resnick SM, Ferrucci L. Longitudinal associations of absolute versus relative moderate-to-vigorous physical activity with brain microstructural decline in aging. Neurobiol Aging. 2022 Aug;116:25-31. doi: 10.1016/j.neurobiolaging.2022.04.007. PMCID: PMC9177705.
  73. Yao, Tianyuan, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Bennett Landman et al. “Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.” MELBA (The Journal of Machine Learning for Biomedical Imaging). arXiv preprint arXiv:2208.14357 (2022).
  74. Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu. “Hierarchical Particle Optimization for Cortical Shape Correspondence in Temporal Lobe Resection.”Computers in Biology and Medicine. December 2022. PMC9832438
  75. Beason-Held, Lori; Kerley, Cailey; Chaganti, Shikha; Moghekar, Abhay; Thambisetty, Madhav; Ferrucci, Luigi; Resnick, Susan; Landman, Bennett. “Health Conditions Associated with Alzheimer’s Disease and Vascular Dementia.” Annals of Neurology. December 2022. (PMC: Intramural)
  76. Claire Donnici, Xiangyu Long, Jess Reynolds, Deborah Dewey, Nicole Letourneau, Gerald Giesbrecht, Yuankai Hu, Bennett Landman, Catherine Lebel. Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure. January 2023. Apr 15;44(6):2380-2394. PMC10028635
  77. Praitayini Kanakaraj, Leon Y. Cai, Francois Rheault, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman. “Mapping the Impact of Gradient Nonlinear Fields with Noise Diffusion MRI”. Magnetic Resonance Imaging 2023. Accepted (in-press).
  78. Kurt G Schilling, Derek Archer, Francois Rheault, Ilwoo Lyu, Yuankai Huo, Leon Y Cai, Silvia A Bunge, Kevin S Weiner, John C Gore, Adam W Anderson, Bennett A Landman. “Short superficial white matter and aging: a longitudinal multi-site study of 1,293 subjects and 2,711 sessions.” Brain Structure and Function (2023). PMC9937516
  79. Emily M. Harriott, Tin Q. Nguyen, Bennett A. Landman, Laura A. Barquero, Laurie E. “Cutting. Using A Semi-Automated Approach to Quantify Unidentified Bright Objects in Neurofibromatosis Type 1 and Linkages to Cognitive and Academic Outcomes.” Magnetic Resonance Imaging. Accepted December 2022. PMC9908856
  80. Nancy R. Newlin, Francois Rheault, Kurt G. Schilling, Bennett A. Landman. “Characterizing Streamline Count Invariant Graph Measures of Structural Connectomes” Journal of Magnetic Resonance Imaging. January 2023.
  81. Cui, Can, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, and Yuankai Huo. “Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.” Progress in Biomedical Engineering. March 2023. PMC: Not NIH.
  82. Praitayini Kanakaraj, Leon Y. Cai, Tianyuan Yao, Francois Rheault, Baxter P. Rogers, Adam Anderson, Kurt G. Schilling, Bennett A. Landman. “Efficient Approximate Signal Reconstruction for Correction of Gradient Nonlinearities in Diffusion-Weighted Imaging.” Magnetic Resonance Imaging 2023.
  83. Bolton CJ, Khan OA, Moore EE, Pechman KR, Davis LT, Liu D, Landman BA, Gifford KA, Hohman TJ, Jefferson AL. Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period. NeuroImage: Clinical. PMC10102557
  84. Rafael Paez, Michael N. Kammer, Aneri Balar, Dhairya A. Lakhani, Michael Knight, Dianna Rowe, David Xiao, Brent E. Heideman, Sanja L. Antic, Heidi Chen, Sheau-Chiann Chen, Tobias Peikert, Kim L. Sandler, Bennett A. Landman, Stephen A. Deppen, Eric L. Grogan, Fabien Maldonado. “Longitudinal Lung Cancer Prediction Convolutional Neural Network Model Improves the Classification of Indeterminate Pulmonary Nodules”. Nature Scientific Reports. April 2023 PMC10105767
  85. Kurt G Schilling, Derek Archer, Francois Rheault, Ilwoo Lyu, Yuankai Huo, Leon Y Cai, Silvia A Bunge, Kevin S Weiner, John C Gore, Adam W Anderson, Bennett A Landman. Superficial white matter across development, young adulthood, and aging: volume, thickness, and relationship with cortical features. Brain Structure and Function. April 2023
  86. Cai LY, Tanase C, Anderson AW, Patel NJ, Lee CA, Jones RS, LeStourgeon LM, Mahon A, Taki I, Juvera J, Pruthi S, Gwal K, Ozturk A, Kang H, Rewers A, Rewers MJ, Alonso GT, Glaser N, Ghetti S, Jaser SS, Landman BA, Jordan LC. Exploratory multi-site magnetic resonance spectroscopic imaging shows white matter neuroaxonal loss associated with complications of type 1 diabetes in children. American Journal of Neuroradiology. 2023. Accepted. PMC In Progress
  87. Xu, K., Li, T., Khan, M. S., Gao, R., Antic, S. L., Huo, Y., Sandler, K. L., Maldonado, F., & Landman, B. A. (2023). Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective. Medical Image Analysis. 2023 May
  88. Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, James G. Terry, Yuankai Huo, Thomas A. Lasko, John Jeffrey Carr, Fabien Maldonado, Bennett A. Landman, Kim L. Sandler. AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection. Radiology. 2023
  89. Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo, “Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation”, IEEE Journal of Biomedical and Health Informatics, 2023.
  90. Gabriel Girard, Jonathan Rafael-Patiño; Raphaël Truffet; Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; Matteo Battocchio; Zuzana Piskorova; Pietro Bontempi; Simona Schiavi; Alessandro Daducci; Aleksandra Stafiej; Dominika Ciupek; Fabian Bogusz; Tomasz Pieciak; Matteo Frigo; Sara Sedlar; Samuel Deslauriers-Gauthier; Ivana Kojcic; Mauro Zucchelli; Hiba Laghrissi; Yang Ji; Rachid Deriche; Kurt G Schilling; Bennett A. Landman; Alberto Cacciola; Gianpaolo Antonio; Salvatore Bertino; Nancy Newlin; Praitayini Kanakaraj; Francois Rheault; Patryk Filipiak; Timothy Shepherd; Ying-Chia Lin; Dimitris G. Placantonakis; Fernando E. Boada; Steven H. Baete; Erick Hernández-Gutiérrez; Alonso Ramírez-Manzanares; Ricardo Coronado-Leija; Pablo Stack-Sánchez; Luis Concha; Maxime Descoteaux; Sina Mansour L.; Caio Seguin; Andrew Zalesky; Kenji Marshall; Erick J. Canales-Rodríguez; Ye Wu; Sahar Ahmad; Pew-Thian Yap; Antoine Théberge; Florence Gagnon; Frédéric Massi; Elda Fischi-Gomez; Rémy Gardier; Juan Luis Villarreal Haro; Marco Pizzolato; Emmanuel Caruyer; Jean-Philippe Thiran. “Tractography passes the test: results from the diffusion-simulated connectivity (DiSCo) challenge.” NeuroImage. 2023
  91. Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman “Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training”, SPIE Journal of Medical Imaging. June 2023
  92. Tian Yu, Leon Y. Cai, Salvatore Torrisi, An Thanh Vu, Victoria L. Morgan, Sarah E. Goodale, Karthik Ramadass, Steven L. Meisler, Jinglei Lv, Aaron E.L. Warren, Dario J. Englot, Laurie Cutting, Catie Chang, John C. Gore, Bennett A. Landman, Kurt G. Schilling. Distortion correction of functional MRI without reverse phase encoding scans or field maps. Magnetic Resonance Imaging, Volume 103, 2023, Pages 18-27, ISSN 0730-725X, https://doi.org/10.1016/j.mri.2023.06.016
  93. Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai , Riqiang Gao, Ho Hin Lee, Thomas Li, Shunxing Bao,  Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang “UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation”, Medical Image Analysis. July 2023
  94. Yurui Gao, Yu Zhao, Muwei Li, Richard D Lawless, Kurt G Schilling, Lyuan Xu, Andrea T Shafer, Lori L Beason-Held, Susan M Resnick, Baxter P Rogers, Zhaohua Ding, Adam W Anderson, Bennett A Landman, John C Gore. “Functional alterations in bipartite network of white and grey matters during aging”. Neuroimage. July 2023.
  95. Cailey I. Kerley, Karthik Ramadass, Tin Q. Nguyen, Laurie E. Cutting, Bennett A. Landman, Matthew Berger, “pyPheWAS Explorer: A visualization tool for exploratory analysis of phenome-disease associations.” (2021) Journal of the American Medical Informatics Association Open. JAMIA Open, Volume 6, Issue 1, April 2023
  96. Jing Zheng; Jess Reynolds; Madison Long; Curtis Ostertag; Tyler Pollock; Max Hamilton; Jeff Dunn; Jiaying Liu; Jonathan Martin; Melody Grohs; Bennett Landman; Yuankai Huo; Deborah Dewey; Deborah Kurrasch; Catherine Lebel. The Effects of Prenatal Bisphenol A Exposure on Brain Volume of Children and Young Mice. Environmental Research Volume 214, Part 3, November 2022, 114040
  97. Tamara K. Moyo, Ashwin Kishtagari, Matthew Villaume, Brandon McMahon, Sanjay R. Mohan, Tess Stopczynski, Sheau-Chiann Chen, Run Fan, Yuankai Huo, Hyeonsoo Moon, Yucheng Tang, Cosmin A. Bejan, Merrida Childress, Ingrid Anderson, Rhea M. Simons, Ashley Moncrief, Rebecca Caza, Laura Dugger, Aunshka Collins, Channing V. Dudley, P. Brent Ferrell, Michael Byrne, Stephen A. Strickland, Gregory D. Ayers, Bennett A. Landman, Emily F. Mason, Ruben A. Mesa, Jeanne M. Palmer, Laura C. Michaelis, and Michael R. Savona. PI3K Inhibition Restores and Amplifies Response to Ruxolitinib in Myelofibrosis. Clin Cancer Res. 2023 Jul 5;29(13):2375-2384.
  98. Kurt Schilling, Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna JE Combes, Colin D Mcknight, Francesca Bagnato, Eleftherios Garyfallidis, Bennett A Landman, Seth A Smith, Kristin P O’Grady. “Denoising of diffusion MRI in the cervical spinal cord – effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity”. Neuroimage. 2023 Feb 1;266:119826 (2023)
  99. Thomas Z. Li, Ho Hin Lee, Kaiwen Xu, Riqiang Gao, Benoit M. Dawant, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman, Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation, J. Med. Imag. 10(4), 044002 (2023), doi: 10.1117/1.JMI.10.4.044002.
  100. Muwei Li, Yurui Gao, Dylan R Lawless, Lyuan Xu, Yu Zhao, Kurt G schilling, Zhaohua Ding, Adam W Anderson, Bennett A Landman, John C Gore. “Changes in White Matter Functional Networks Across Late Adulthood.” Front. Aging Neurosci., 30 June 2023 Sec. Neurocognitive Aging and Behavior. Volume 15 – 2023 | https://doi.org/10.3389/fnagi.2023.1204301
  101. Yisu Yang, Kurt Schilling, Niranjana Shashikumar, Varuna Jasodanand, Elizabeth E. Moore, Kimberly R. Pechman, Murat Bilgel, Lori L. Beason-Held, Yang An, Andrea Shafer, Shannon L. Risacher, Bennett A. Landman, Angela L. Jefferson, Andrew J. Saykin, Susan M. Resnick, Timothy J. Hohman, Derek B. Archer. White matter microstructural metrics are sensitively associated with clinical staging in Alzheimer’s disease. Alzheimer’s Dement. 2023; 15:e12425. https://doi.org/10.1002/dad2.12425
  102. Maier-Hein L, Reinke A, Kozubek M, Martel AL, Arbel T, Eisenmann M, Hanbury A, Jannin P, Müller H, Onogur S, Saez-Rodriguez J, van Ginneken B, Kopp-Schneider A, Landman BA. BIAS: Transparent reporting of biomedical image analysis challenges. Med Image Anal. 2020 Dec;66:101796. doi: 10.1016/j.media.2020.101796. PMCID: PMC7441980.
  103. Tian Q, Williams OA, Landman BA, Resnick SM, Ferrucci L. Microstructural Neuroimaging of Frailty in Cognitively Normal Older Adults. Front Med (Lausanne). 2020 Oct 23;7:546344. doi: 10.3389/fmed.2020.546344. PMCID: PMC7645067.
  104. Christman S, Bermudez C, Hao L, Landman BA, Boyd B, Albert K, Woodward N, Shokouhi S, Vega J, Andrews P, Taylor WD. Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression. Transl Psychiatry. 2020 Sep 18;10(1):317. doi: 10.1038/s41398-020-01004-z. PMCID: PMC7501280.
  105. Schilling KG, Petit L, Rheault F, Remedios S, Pierpaoli C, Anderson AW, Landman BA, Descoteaux M. Brain connections derived from diffusion MRI tractography can be highly anatomically accurate-if we know where white matter pathways start, where they end, and where they do not go. Brain Struct Funct. 2020 Nov;225(8):2387-2402. doi: 10.1007/s00429-020-02129-z. PMCID: PMC7554161.
  106. Rieke N, Hancox J, Li W, Milletarì F, Roth HR, Albarqouni S, Bakas S, Galtier MN, Landman BA, Maier-Hein K, Ourselin S, Sheller M, Summers RM, Trask A, Xu D, Baust M, Cardoso MJ. The future of digital health with federated learning. NPJ Digit Med. 2020 Sep 14;3:119. doi: 10.1038/s41746-020-00323-1. PMCID: PMC7490367.
  107. Zeyi Wang, Haris Sair, Ciprian Crainiceanu, Martin Lindquist, Bennett A. Landman, Susan Resnick, Joshua Vogelstein, Brian Caffo. On statistical tests of functional connectome fingerprinting. The Canadian Journal of Statistics. July 2020. Vol 49 (1). March 2021. Pages 63-88. doi: 10.1002/cjs.11591.
  108. Gao R, Tang Y, Xu K, Huo Y, Bao S, Antic SL, Epstein ES, Deppen S, Paulson AB, Sandler KL, Massion PP, Landman BA. Time-distanced gates in long short-term memory networks. Med Image Anal. 2020 Oct;65:101785. doi: 10.1016/j.media.2020.101785. PMCID: PMC7484010.
  109. June D, Williams OA, Huang CW, An Y, Landman BA, Davatzikos C, Bilgel M, Resnick SM, Beason-Held LL. Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging. Neuroimage. 2020 Nov 1;221:117182. doi: 10.1016/j.neuroimage.2020.117182. PMCID: PMC7848820.
  110. Schilling KG, Blaber J, Hansen C, Cai L, Rogers B, Anderson AW, Smith S, Kanakaraj P, Rex T, Resnick SM, Shafer AT, Cutting LE, Woodward N, Zald D, Landman BA. Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps. PLoS One. 2020 Jul 31;15(7):e0236418. doi: 10.1371/journal.pone.0236418. PMCID: PMC7394453.
  111. Ning L, Bonet-Carne E, Grussu F, Sepehrband F, Kaden E, Veraart J, Blumberg SB, Khoo CS, Palombo M, Kokkinos I, Alexander DC, Coll-Font J, Scherrer B, Warfield SK, Karayumak SC, Rathi Y, Koppers S, Weninger L, Ebert J, Merhof D, Moyer D, Pietsch M, Christiaens D, Gomes Teixeira RA, Tournier JD, Schilling KG, Huo Y, Nath V, Hansen C, Blaber J, Landman BA, Zhylka A, Pluim JPW, Parker G, Rudrapatna U, Evans J, Charron C, Jones DK, Tax CMW. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. Neuroimage. 2020 Nov 1;221:117128. doi: 10.1016/j.neuroimage.2020.117128. PMID: 32673745.
  112. Tang Y, Gao R, Chen Y, Gao D, Savona MR, Abramson RG, Bao S, Huo Y, Landman BA. Learning from dispersed manual annotations with an optimized data weighting policy. J Med Imaging (Bellingham). 2020 Jul;7(4):044002. doi: 10.1117/1.JMI.7.4.044002. PMCID: PMC7394463.
  113. González-Villà S, Oliver A, Huo Y, Lladó X, Landman BA. A fully automated pipeline for brain structure segmentation in multiple sclerosis. Neuroimage Clin. 2020;27:102306. doi: 10.1016/j.nicl.2020.102306. PMCID: PMC7322098.
  114. Law JJ, Mundy KM, Kupcha AC, Chaganti S, Nelson KM, Harrigan RL, Landman BA, Mawn LA. Correlation of Automated Computed Tomography Volumetric Analysis Metrics With Motility Disturbances in Thyroid Eye Disease. Ophthalmic Plast Reconstr Surg. 2021 Jul-Aug 01;37(4):372-376. doi: 10.1097/IOP.0000000000001880. PMID: 33229950.
  115. Armstrong NM, Williams OA, Landman BA, Deal JA, Lin FR, Resnick SM. Association of Poorer Hearing With Longitudinal Change in Cerebral White Matter Microstructure. JAMA Otolaryngol Head Neck Surg. 2020 Nov 1;146(11):1035-1042. doi: 10.1001/jamaoto.2020.2497. PMCID: PMC7489397.
  116. Archer DB, Moore EE, Shashikumar N, Dumitrescu L, Pechman KR, Landman BA, Gifford KA, Jefferson AL, Hohman TJ. Free-water metrics in medial temporal lobe white matter tract projections relate to longitudinal cognitive decline. Neurobiol Aging. 2020 Oct;94:15-23. doi: 10.1016/j.neurobiolaging.2020.05.001. PMCID: PMC7483422.
  117. Moore EE, Liu D, Pechman KR, Acosta LMY, Bell SP, Davis LT, Blennow K, Zetterberg H, Landman BA, Schrag MS, Hohman TJ, Gifford KA, Jefferson AL. Mild Cognitive Impairment Staging Yields Genetic Susceptibility, Biomarker, and Neuroimaging Differences. Front Aging Neurosci. 2020 Jun 5;12:139. doi: 10.3389/fnagi.2020.00139. PMCID: PMC7289958.
  118. Wang R, Albert KM, Taylor WD, Boyd BD, Blaber J, Lyu I, Landman BA, Vega J, Shokouhi S, Kang H. A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder. Psychiatry Res Neuroimaging. 2020 Jul 30;301:111102. doi: 10.1016/j.pscychresns.2020.111102. PMCID: PMC7369149.
  119. Failla MD, Schwartz KL, Chaganti S, Cutting LE, Landman BA, Cascio CJ. Using phecode analysis to characterize co-occurring medical conditions in autism spectrum disorder. Autism. 2021 Apr;25(3):800-811. doi: 10.1177/1362361320934561. PMCID: PMC7854773.
  120. Massion PP, Antic S, Ather S, Arteta C, Brabec J, Chen H, Declerck J, Dufek D, Hickes W, Kadir T, Kunst J, Landman BA, Munden RF, Novotny P, Peschl H, Pickup LC, Santos C, Smith GT, Talwar A, Gleeson F. Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules. Am J Respir Crit Care Med. 2020 Jul 15;202(2):241-249. doi: 10.1164/rccm.201903-0505OC. PMCID: PMC7365375.
  121. Lopez AM, Trujillo P, Hernandez AB, Lin YC, Kang H, Landman BA, Englot DJ, Dawant BM, Konrad PE, Claassen DO. Structural Correlates of the Sensorimotor Cerebellum in Parkinson’s Disease and Essential Tremor. Mov Disord. 2020 Jul;35(7):1181-1188. doi: 10.1002/mds.28044. PMCID: PMC7962800.
  122. Moore EE, Gifford KA, Khan OA, Liu D, Pechman KR, Acosta LMY, Bell SP, Turchan M, Landman BA, Blennow K, Zetterberg H, Hohman TJ, Jefferson AL. Cerebrospinal fluid biomarkers of neurodegeneration, synaptic dysfunction, and axonal injury relate to atrophy in structural brain regions specific to Alzheimer’s disease. Alzheimers Dement. 2020 Jun;16(6):883-895. doi: 10.1002/alz.12087. PMCID: PMC7781154.
  123. Beason-Held LL, Shafer AT, Goh JO, Landman BA, Davatzikos C, Viscomi B, Ash J, Kitner-Triolo M, Ferrucci L, Resnick SM. Hippocampal activation and connectivity in the aging brain. Brain Imaging Behav. 2021 Apr;15(2):711-726. doi: 10.1007/s11682-020-00279-6. PMCID: PMC9188742.
  124. Sheffield JM, Huang AS, Rogers BP, Giraldo-Chica M, Landman BA, Blackford JU, Heckers S, Woodward ND. Thalamocortical Anatomical Connectivity in Schizophrenia and Psychotic Bipolar Disorder. Schizophr Bull. 2020 Mar 27;46(5):1062–71. doi: 10.1093/schbul/sbaa022. PMCID: PMC7505173.
  125. Gao R, Huo Y, Bao S, Tang Y, Antic SL, Epstein ES, Deppen S, Paulson AB, Sandler KL, Massion PP, Landman BA. Multi-path x-D Recurrent Neural Networks for Collaborative Image Classification. Neurocomputing. 2020 Jul 15;397:48-59. doi: 10.1016/j.neucom.2020.02.033. PMCID: PMC7454345.
  126. Remedios SW, Roy S, Bermudez C, Patel MB, Butman JA, Landman BA, Pham DL. Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation. Med Phys. 2020 Jan;47(1):89-98. doi: 10.1002/mp.13880. PMCID: PMC6983946.
  127. Li Y, Zhang H, Bermudez C, Chen Y, Landman BA, Vorobeychik Y. Anatomical Context Protects Deep Learning from Adversarial Perturbations in Medical Imaging. Neurocomputing. 2020 Feb 28;379:370-378. doi: 10.1016/j.neucom.2019.10.085. PMCID: PMC7450534.
  128. Tetreault AM, Phan T, Orlando D, Lyu I, Kang H, Landman B, Darby RR; Alzheimer’s Disease Neuroimaging Initiative. Network localization of clinical, cognitive, and neuropsychiatric symptoms in Alzheimer’s disease. Brain. 2020 Apr 1;143(4):1249-1260. doi: 10.1093/brain/awaa058. PMCID: PMC7174048.
  129. Nath V, Schilling KG, Parvathaneni P, Huo Y, Blaber JA, Hainline AE, Barakovic M, Romascano D, Rafael-Patino J, Frigo M, Girard G, Thiran JP, Daducci A, Rowe M, Rodrigues P, Prčkovska V, Aydogan DB, Sun W, Shi Y, Parker WA, Ould Ismail AA, Verma R, Cabeen RP, Toga AW, Newton AT, Wasserthal J, Neher P, Maier-Hein K, Savini G, Palesi F, Kaden E, Wu Y, He J, Feng Y, Paquette M, Rheault F, Sidhu J, Lebel C, Leemans A, Descoteaux M, Dyrby TB, Kang H, Landman BA. Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge. J Magn Reson Imaging. 2020 Jan;51(1):234-249. doi: 10.1002/jmri.26794. PMCID: PMC6900461.
  130. Parvathaneni P, Lyu I, Huo Y, Rogers BP, Schilling KG, Nath V, Blaber JA, Hainline AE, Anderson AW, Woodward ND, Landman BA. Improved gray matter surface based spatial statistics in neuroimaging studies. Magn Reson Imaging. 2019 Sep;61:285-295. doi: 10.1016/j.mri.2019.05.016. PMCID: PMC6689417.
  131. Heaster TM, Landman BA, Skala MC. Quantitative Spatial Analysis of Metabolic Heterogeneity Across in vivoand in vitro Tumor Models. Front Oncol. 2019 Nov 1;9:1144. doi: 10.3389/fonc.2019.01144. PMCID: PMC6839277.
  132. Moon H, Huo Y, Abramson RG, Peters RA, Assad A, Moyo TK, Savona MR, Landman BA. Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline. Comput Biol Med. 2019 Apr;107:109-117. doi: 10.1016/j.compbiomed.2019.01.018. PMCID: PMC7086455.
  133. Bermudez Noguera C, Bao S, Petersen KJ, Lopez AM, Reid J, Plassard AJ, Zald DH, Claassen DO, Dawant BM, Landman BA. Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods. J Med Imaging (Bellingham). 2019 Oct;6(4):044007. doi: 10.1117/1.JMI.6.4.044007. PMCID: PMC6895566.
  134. Chaganti S, Welty VF, Taylor W, Albert K, Failla MD, Cascio C, Smith S, Mawn L, Resnick SM, Beason-Held LL, Bagnato F, Lasko T, Blume JD, Landman BA. Discovering novel disease comorbidities using electronic medical records. PLoS One. 2019 Nov 27;14(11):e0225495. doi: 10.1371/journal.pone.0225495. PMCID: PMC6880990.
  135. Huo Y, Tang Y, Chen Y, Gao D, Han S, Bao S, De S, Terry JG, Carr JJ, Abramson RG, Landman BA. Stochastic tissue window normalization of deep learning on computed tomography. J Med Imaging (Bellingham). 2019 Oct;6(4):044005. doi: 10.1117/1.JMI.6.4.044005. PMCID: PMC6863984.
  136. Chaganti S, Mundy K, DeLisi MP, Nelson KM, Harrigan RL, Galloway RL, Landman BA, Mawn LA. Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease. J Digit Imaging. 2019 Dec;32(6):987-994. doi: 10.1007/s10278-019-00195-2. PMCID: PMC6841832.
  137. Andreescu C, Ajilore O, Aizenstein HJ, Albert K, Butters MA, Landman BA, Karim HT, Krafty R, Taylor WD. Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression. Am J Geriatr Psychiatry. 2019 Dec;27(12):1316-1330. doi: 10.1016/j.jagp.2019.07.016. PMCID: PMC6842700.
  138. Schilling KG, By S, Feiler HR, Box BA, O’Grady KP, Witt A, Landman BA, Smith SA. Diffusion MRI microstructural models in the cervical spinal cord – Application, normative values, and correlations with histological analysis. Neuroimage. 2019 Nov 1;201:116026. doi: 10.1016/j.neuroimage.2019.116026. PMCID: PMC6765439.
  139. Nath V, Schilling KG, Parvathaneni P, Hansen CB, Hainline AE, Huo Y, Blaber JA, Lyu I, Janve V, Gao Y, Stepniewska I, Anderson AW, Landman BA. Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI. Magn Reson Imaging. 2019 Oct;62:220-227. doi: 10.1016/j.mri.2019.07.012. PMCID: PMC6748654.
  140. Schilling KG, Blaber J, Huo Y, Newton A, Hansen C, Nath V, Shafer AT, Williams O, Resnick SM, Rogers B, Anderson AW, Landman BA. Synthesized b0 for diffusion distortion correction (Synb0-DisCo). Magn Reson Imaging. 2019 Dec;64:62-70. doi: 10.1016/j.mri.2019.05.008. PMCID: PMC6834894.
  141. Schilling KG, Landman BA. AI in MRI: A case for grassroots deep learning. Magn Reson Imaging. 2019 Dec;64:1-3. doi: 10.1016/j.mri.2019.07.004. PMCID: PMC8278255.
  142. Lyu I, Kang H, Woodward ND, Styner MA, Landman BA. Hierarchical spherical deformation for cortical surface registration. Med Image Anal. 2019 Oct;57:72-88. doi: 10.1016/j.media.2019.06.013. PMCID: PMC6733638.
  143. Bermudez C, Plassard AJ, Chaganti S, Huo Y, Aboud KS, Cutting LE, Resnick SM, Landman BA. Anatomical context improves deep learning on the brain age estimation task. Magn Reson Imaging. 2019 Oct;62:70-77. doi: 10.1016/j.mri.2019.06.018. PMCID: PMC6689246.
  144. Huo Y, Terry JG, Wang J, Nair S, Lasko TA, Freedman BI, Carr JJ, Landman BA. Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations. Med Phys. 2019 Aug;46(8):3508-3519. doi: 10.1002/mp.13675. PMCID: PMC6692233.
  145. Plassard AJ, Bao S, D’Haese PF, Pallavaram S, Claassen DO, Dawant BM, Landman BA. Multi-modal imaging with specialized sequences improves accuracy of the automated subcortical grey matter segmentation. Magn Reson Imaging. 2019 Sep;61:131-136. doi: 10.1016/j.mri.2019.05.025. PMCID: PMC6980439.
  146. Schilling KG, Yeh FC, Nath V, Hansen C, Williams O, Resnick S, Anderson AW, Landman BA. A fiber coherence index for quality control of B-table orientation in diffusion MRI scans. Magn Reson Imaging. 2019 May;58:82-89. doi: 10.1016/j.mri.2019.01.018. PMCID: PMC6401245.
  147. Parvathaneni P, Nath V, McHugo M, Huo Y, Resnick SM, Woodward ND, Landman BA, Lyu I. Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks. J Neurosci Methods. 2019 Aug 1;324:108311. doi: 10.1016/j.jneumeth.2019.108311. PMCID: PMC6663093.
  148. Bao S, Bermudez C, Huo Y, Parvathaneni P, Rodriguez W, Resnick SM, D’Haese PF, McHugo M, Heckers S, Dawant BM, Lyu I, Landman BA. Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields. Magn Reson Imaging. 2019 Jun;59:143-152. doi: 10.1016/j.mri.2019.03.014. PMCID: PMC6747695.
  149. Huo Y, Xu Z, Xiong Y, Aboud K, Parvathaneni P, Bao S, Bermudez C, Resnick SM, Cutting LE, Landman BA. 3D whole brain segmentation using spatially localized atlas network tiles. Neuroimage. 2019 Jul 1;194:105-119. doi: 10.1016/j.neuroimage.2019.03.041. PMCID: PMC6536356.
  150. Hainline AE, Nath V, Parvathaneni P, Schilling KG, Blaber JA, Anderson AW, Kang H, Landman BA. A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging. Magn Reson Imaging. 2019 Jun;59:130-136. doi: 10.1016/j.mri.2019.03.021. PMCID: PMC6818965.
  151. Schilling KG, Gao Y, Stepniewska I, Janve V, Landman BA, Anderson AW. Histologically derived fiber response functions for diffusion MRI vary across white matter fibers-An ex vivo validation study in the squirrel monkey brain. NMR Biomed. 2019 Jun;32(6):e4090. doi: 10.1002/nbm.4090. PMCID: PMC6525086.
  152. González HFJ, Goodale SE, Jacobs ML, Haas KF, Landman BA, Morgan VL, Englot DJ. Brainstem Functional Connectivity Disturbances in Epilepsy may Recover After Successful Surgery. Neurosurgery. 2020 Mar 1;86(3):417-428. doi: 10.1093/neuros/nyz128. PMCID: PMC7308661.
  153. González-Villà S, Oliver A, Huo Y, Lladó X, Landman BA. Brain structure segmentation in the presence of multiple sclerosis lesions. Neuroimage Clin. 2019;22:101709. doi: 10.1016/j.nicl.2019.101709. PMCID: PMC6396016.
  154. Hinton KE, Lahey BB, Villalta-Gil V, Meyer FAC, Burgess LL, Chodes LK, Applegate B, Van Hulle CA, Landman BA, Zald DH. White matter microstructure correlates of general and specific second-order factors of psychopathology. Neuroimage Clin. 2019;22:101705. doi: 10.1016/j.nicl.2019.101705. PMCID: PMC6369105.
  155. Gainaru A, Sun H, Aupy G, Huo Y, Landman BA, Raghavan P. On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. The International Journal of High Performance Computing Applications. 2019;33(6):1140-1158. doi:10.1177/1094342019841681.
  156. Morgan VL, Rogers BP, Anderson AW, Landman BA, Englot DJ. Divergent network properties that predict early surgical failure versus late recurrence in temporal lobe epilepsy. J Neurosurg. 2019 Apr 5;132(5):1324-1333. doi: 10.3171/2019.1.JNS182875. PMCID: PMC6778487.
  157. Williams OA, An Y, Beason-Held L, Huo Y, Ferrucci L, Landman BA, Resnick SM. Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults. Neuroimage. 2019 Mar;188:572-583. doi: 10.1016/j.neuroimage.2018.12.009. PMCID: PMC6601608.
  158. Schilling KG, Daducci A, Maier-Hein K, Poupon C, Houde JC, Nath V, Anderson AW, Landman BA, Descoteaux M. Challenges in diffusion MRI tractography – Lessons learned from international benchmark competitions. Magn Reson Imaging. 2019 Apr;57:194-209. doi: 10.1016/j.mri.2018.11.014. PMCID: PMC6331218.
  159. Hansen CB, Nath V, Hainline AE, Schilling KG, Parvathaneni P, Bayrak RG, Blaber JA, Irfanoglu O, Pierpaoli C, Anderson AW, Rogers BP, Landman BA. Characterization and correlation of signal drift in diffusion weighted MRI. Magn Reson Imaging. 2019 Apr;57:133-142. doi: 10.1016/j.mri.2018.11.009. PMCID: PMC7074846.
  160. Huo Y, Xu Z, Bao S, Bermudez C, Moon H, Parvathaneni P, Moyo TK, Savona MR, Assad A, Abramson RG, Landman BA. Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE Trans Med Imaging. 2019 May;38(5):1185-1196. doi: 10.1109/TMI.2018.2881110. PMCID: PMC7194446.
  161. Schilling KG, Nath V, Hansen C, Parvathaneni P, Blaber J, Gao Y, Neher P, Aydogan DB, Shi Y, Ocampo-Pineda M, Schiavi S, Daducci A, Girard G, Barakovic M, Rafael-Patino J, Romascano D, Rensonnet G, Pizzolato M, Bates A, Fischi E, Thiran JP, Canales-Rodríguez EJ, Huang C, Zhu H, Zhong L, Cabeen R, Toga AW, Rheault F, Theaud G, Houde JC, Sidhu J, Chamberland M, Westin CF, Dyrby TB, Verma R, Rathi Y, Irfanoglu MO, Thomas C, Pierpaoli C, Descoteaux M, Anderson AW, Landman BA. Limits to anatomical accuracy of diffusion tractography using modern approaches. Neuroimage. 2019 Jan 15;185:1-11. doi: 10.1016/j.neuroimage.2018.10.029. PMCID: PMC6551229.
  162. Chaganti S, Mawn LA, Kang H, Egan J, Resnick SM, Beason-Held LL, Landman BA, Lasko TA. Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. IEEE J Biomed Health Inform. 2019 Sep;23(5):2052-2062. doi: 10.1109/JBHI.2018.2890084. PMCID: PMC6844192.
  163. Gandelman JA, Albert K, Boyd BD, Park JW, Riddle M, Woodward ND, Kang H, Landman BA, Taylor WD. Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late-Life Depression. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 Feb;4(2):160-170. doi: 10.1016/j.bpsc.2018.09.003. PMCID: PMC6368882.
  164. Taylor WD, Deng Y, Boyd BD, Donahue MJ, Albert K, McHugo M, Gandelman JA, Landman BA. Medial temporal lobe volumes in late-life depression: effects of age and vascular risk factors. Brain Imaging Behav. 2020 Feb;14(1):19-29. doi: 10.1007/s11682-018-9969-y. PMCID: PMC6431585.
  165. Schilling KG, Gao Y, Stepniewska I, Janve V, Landman BA, Anderson AW. Anatomical accuracy of standard-practice tractography algorithms in the motor system – A histological validation in the squirrel monkey brain. Magn Reson Imaging. 2019 Jan;55:7-25. doi: 10.1016/j.mri.2018.09.004. PMCID: PMC6855403.
  166. Juttukonda MR, Franco G, Englot DJ, Lin YC, Petersen KJ, Trujillo P, Hedera P, Landman BA, Kang H, Donahue MJ, Konrad PE, Dawant BM, Claassen DO. White matter differences between essential tremor and Parkinson disease. Neurology. 2019 Jan 1;92(1):e30-e39. doi: 10.1212/WNL.0000000000006694. PMCID: PMC6336163.
  167. Chaganti S, Nelson K, Mundy K, Harrigan R, Galloway R, Mawn LA, Landman B. Imaging biomarkers in thyroid eye disease and their clinical associations. J Med Imaging (Bellingham). 2018 Oct;5(4):044001. doi: 10.1117/1.JMI.5.4.044001. PMCID: PMC6191037.
  168. O’Grady KP, Dula AN, Lyttle BD, Thompson LM, Conrad BN, Box BA, McKeithan LJ, Pawate S, Bagnato F, Landman BA, Newhouse P, Smith SA. Glutamate-sensitive imaging and evaluation of cognitive impairment in multiple sclerosis. Mult Scler. 2019 Oct;25(12):1580-1592. doi: 10.1177/1352458518799583. PMCID: PMC6424643.
  169. Carass A, Cuzzocreo JL, Han S, Hernandez-Castillo CR, Rasser PE, Ganz M, Beliveau V, Dolz J, Ben Ayed I, Desrosiers C, Thyreau B, Romero JE, Coupé P, Manjón JV, Fonov VS, Collins DL, Ying SH, Onyike CU, Crocetti D, Landman BA, Mostofsky SH, Thompson PM, Prince JL. Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. Neuroimage. 2018 Dec;183:150-172. doi: 10.1016/j.neuroimage.2018.08.003. PMCID: PMC6271471.
  170. Aboud KS, Huo Y, Kang H, Ealey A, Resnick SM, Landman BA, Cutting LE. Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships. Hum Brain Mapp. 2019 Jan;40(1):125-136. doi: 10.1002/hbm.24359. PMCID: PMC6478172.
  171. Schilling KG, Gao Y, Li M, Wu TL, Blaber J, Landman BA, Anderson AW, Ding Z, Gore JC. Functional tractography of white matter by high angular resolution functional-correlation imaging (HARFI). Magn Reson Med. 2019 Mar;81(3):2011-2024. doi: 10.1002/mrm.27512. PMCID: PMC6347525.
  172. Huo Y, Xu Z, Moon H, Bao S, Assad A, Moyo TK, Savona MR, Abramson RG, Landman BA. SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. IEEE Trans Med Imaging. 2018 Oct 17:10.1109/TMI.2018.2876633. doi: 10.1109/TMI.2018.2876633. PMCID: PMC6504618.
  173. Maier-Hein L, Eisenmann M, Reinke A, Onogur S, Stankovic M, Scholz P, Arbel T, Bogunovic H, Bradley AP, Carass A, Feldmann C, Frangi AF, Full PM, van Ginneken B, Hanbury A, Honauer K, Kozubek M, Landman BA, März K, Maier O, Maier-Hein K, Menze BH, Müller H, Neher PF, Niessen W, Rajpoot N, Sharp GC, Sirinukunwattana K, Speidel S, Stock C, Stoyanov D, Taha AA, van der Sommen F, Wang CW, Weber MA, Zheng G, Jannin P, Kopp-Schneider A. Why rankings of biomedical image analysis competitions should be interpreted with care. Nat Commun. 2018 Dec 6;9(1):5217. doi: 10.1038/s41467-018-07619-7. Erratum in: Nat Commun. 2019 Jan 30;10(1):588. PMCID: PMC6284017.
  174. Schilling KG, Gao Y, Christian M, Janve V, Stepniewska I, Landman BA, Anderson AW. A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain. Neuroinformatics. 2019 Jan;17(1):131-145. doi: 10.1007/s12021-018-9391-z. PMCID: PMC6330248.
  175. Nakajima EC, Frankland MP, Johnson TF, Antic SL, Chen H, Chen SC, Karwoski RA, Walker R, Landman BA, Clay RD, Bartholmai BJ, Rajagopalan S, Peikert T, Massion PP, Maldonado F. Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas. PLoS One. 2018 Jun 1;13(6):e0198118. doi: 10.1371/journal.pone.0198118. PMCID: PMC5983856.
  176. Englot DJ, Gonzalez HFJ, Reynolds BB, Konrad PE, Jacobs ML, Gore JC, Landman BA, Morgan VL. Relating structural and functional brainstem connectivity to disease measures in epilepsy. Neurology. 2018 Jul 3;91(1):e67-e77. doi: 10.1212/WNL.0000000000005733. PMCID: PMC6091881.
  177. Hinton KE, Lahey BB, Villalta-Gil V, Boyd BD, Yvernault BC, Werts KB, Plassard AJ, Applegate B, Woodward ND, Landman BA, Zald DH. Right Fronto-Subcortical White Matter Microstructure Predicts Cognitive Control Ability on the Go/No-go Task in a Community Sample. Front Hum Neurosci. 2018 Apr 13;12:127. doi: 10.3389/fnhum.2018.00127. PMCID: PMC5908979.
  178. Parvathaneni P, Nath V, Blaber JA, Schilling KG, Hainline AE, Mojahed E, Anderson AW, Landman BA. Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO. Magn Reson Imaging. 2018 Jul;50:96-109. doi: 10.1016/j.mri.2018.03.004. PMCID: PMC5970991.
  179. Nath V, Schilling KG, Parvathaneni P, Blaber J, Hainline AE, Ding Z, Anderson A, Landman BA. Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI. J Med Imaging (Bellingham). 2018 Jan;5(1):014005. doi: 10.1117/1.JMI.5.1.014005. PMCID: PMC5838516.
  180. Langer SG, Shih G, Nagy P, Landman BA. Collaborative and Reproducible Research: Goals, Challenges, and Strategies. J Digit Imaging. 2018 Jun;31(3):275-282. doi: 10.1007/s10278-017-0043-x. Erratum in: J Digit Imaging. 2019 Feb 15. PMCID: PMC5959829.
  181. Huo Y, Blaber J, Damon SM, Boyd BD, Bao S, Parvathaneni P, Noguera CB, Chaganti S, Nath V, Greer JM, Lyu I, French WR, Newton AT, Rogers BP, Landman BA. Towards Portable Large-Scale Image Processing with High-Performance Computing. J Digit Imaging. 2018 Jun;31(3):304-314. doi: 10.1007/s10278-018-0080-0. PMCID: PMC5959833.
  182. Hainline AE, Nath V, Parvathaneni P, Blaber JA, Schilling KG, Anderson AW, Kang H, Landman BA. Empirical single sample quantification of bias and variance in Q-ball imaging. Magn Reson Med. 2018 Oct;80(4):1666-1675. doi: 10.1002/mrm.27115. PMCID: PMC6078828.
  183. Lyu I, Kim SH, Woodward ND, Styner MA, Landman BA. TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction. IEEE Trans Med Imaging. 2018 Jul;37(7):1653-1663. doi: 10.1109/TMI.2017.2787589. PMCID: PMC6889090.
  184. Schilling K, Gao Y, Janve V, Stepniewska I, Landman BA, Anderson AW. Confirmation of a gyral bias in diffusion MRI fiber tractography. Hum Brain Mapp. 2018 Mar;39(3):1449-1466. doi: 10.1002/hbm.23936. PMCID: PMC5807146.
  185. Schilling KG, Janve V, Gao Y, Stepniewska I, Landman BA, Anderson AW. Histological validation of diffusion MRI fiber orientation distributions and dispersion. Neuroimage. 2018 Jan 15;165:200-221. doi: 10.1016/j.neuroimage.2017.10.046. PMCID: PMC5732036.
  186. Huo Y, Liu J, Xu Z, Harrigan RL, Assad A, Abramson RG, Landman BA. Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation. IEEE Trans Biomed Eng. 2018 Feb;65(2):336-343. doi: 10.1109/TBME.2017.2764752. PMCID: PMC5826563.
  187. Giraldo-Chica M, Rogers BP, Damon SM, Landman BA, Woodward ND. Prefrontal-Thalamic Anatomical Connectivity and Executive Cognitive Function in Schizophrenia. Biol Psychiatry. 2018 Mar 15;83(6):509-517. doi: 10.1016/j.biopsych.2017.09.022. PMCID: PMC5809301.
  188. Harrigan RL, Smith AK, Lyttle B, Box B, Landman BA, Bagnato F, Pawate S, Smith SA. Quantitative characterization of optic nerve atrophy in patients with multiple sclerosis. Mult Scler J Exp Transl Clin. 2017 Sep 13;3(3):2055217317730097. doi: 10.1177/2055217317730097. PMCID: PMC5600307.
  189. Andrew Plassard, Bennett A. Landman. “Multi-Protocol, Multi-Atlas Statistical Fusion: Theory and Application.” Journal of Medical Imaging (JMI). 2017 Jul;4(3):034002. doi: 10.1117/1.JMI.4.3.034002.. PMCID: PMC5572442
  190. Schilling K, Gao Y, Janve V, Stepniewska I, Landman BA, Anderson AW. Can increased spatial resolution solve the crossing fiber problem for diffusion MRI? NMR Biomed. 2017 Dec;30(12):10.1002/nbm.3787. doi: 10.1002/nbm.3787. PMCID: PMC5685916.
  191. Schilling KG, Gao Y, Stepniewska I, Wu TL, Wang F, Landman BA, Gore JC, Chen LM, Anderson AW. The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain. Neuroinformatics. 2017 Oct;15(4):321-331. doi: 10.1007/s12021-017-9334-0. PMCID: PMC5671902.
  192. Rane S, Plassard A, Landman BA, Claassen DO, Donahue MJ; Alzheimer’s Disease Neuroimaging Initiative. Comparison of Cortical and Subcortical Measurements in Normal Older Adults across Databases and Software Packages. J Alzheimers Dis Rep. 2017;1(1):59-70. doi: 10.3233/ADR-170008. PMCID: PMC5943040.
  193. Schilling KG, Nath V, Blaber JA, Parvathaneni P, Anderson AW, Landman BA. Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging. Magn Reson Imaging. 2017 Jul;40:62-74. doi: 10.1016/j.mri.2017.04.007. PMCID: PMC5500983.
  194. Morgan VL, Englot DJ, Rogers BP, Landman BA, Cakir A, Abou-Khalil BW, Anderson AW. Magnetic resonance imaging connectivity for the prediction of seizure outcome in temporal lobe epilepsy. Epilepsia. 2017 Jul;58(7):1251-1260. doi: 10.1111/epi.13762. PMCID: PMC5498250.
  195. Prados F, Ashburner J, Blaiotta C, Brosch T, Carballido-Gamio J, Cardoso MJ, Conrad BN, Datta E, Dávid G, Leener B, Dupont SM, Freund P, Wheeler-Kingshott CAMG, Grussu F, Henry R, Landman BA, Ljungberg E, Lyttle B, Ourselin S, Papinutto N, Saporito S, Schlaeger R, Smith SA, Summers P, Tam R, Yiannakas MC, Zhu A, Cohen-Adad J. Spinal cord grey matter segmentation challenge. Neuroimage. 2017 May 15;152:312-329. doi: 10.1016/j.neuroimage.2017.03.010. PMCID: PMC5440179.
  196. Gao Y, Schilling KG, Stepniewska I, Plassard AJ, Choe AS, Li X, Landman BA, Anderson AW. Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging. Neuroimage. 2018 Apr 15;170:321-331. doi: 10.1016/j.neuroimage.2017.02.048. PMCID: PMC5568504.
  197. Villalta-Gil V, Hinton KE, Landman BA, Yvernault BC, Perkins SF, Katsantonis AS, Sellani CL, Lahey BB, Zald DH. Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks. Neuroimage. 2017 Feb 1;146:312-319. doi: 10.1016/j.neuroimage.2016.11.038. PMCID: PMC5322185.
  198. Yuankai Huo, Andrew J. Asman, Andrew J. Plassard, Bennett A. Landman. “Simultaneous total intracranial volume and posterior fossa volume estimation using multi‐atlas label fusion.” Human Brain Mapping. 2017 Feb;38(2):599-616. doi: 10.1002/hbm.23432. PMC5225112
  199. Kurt Schilling, Yurui Gao, Iwona Stepniewska, Ann S. Choe, Bennett A. Landman, and Adam W Anderson. “Reproducibility and Variation of Diffusion Measures in the Squirrel Monkey Brain, In Vivo and Ex Vivo”. Magnetic Resonance Imaging. 2017 Jan;35:29-38. doi: 10.1016/j.mri.2016.08.015. PMICID: PMC5125845.
  200. Claassen DO, McDonell KE, Donahue M, Rawal S, Wylie SA, Neimat JS, Kang H, Hedera P, Zald D, Landman B, Dawant B, Rane S. Cortical asymmetry in Parkinson’s disease: early susceptibility of the left hemisphere. Brain Behav. 2016 Oct 6;6(12):e00573. doi: 10.1002/brb3.573. PMCID: PMC5167000.
  201. Xu Z, Conrad BN, Baucom RB, Smith SA, Poulose BK, Landman BA. Abdomen and spinal cord segmentation with augmented active shape models. J Med Imaging (Bellingham). 2016 Jul;3(3):036002. doi: 10.1117/1.JMI.3.3.036002. PMCID: PMC4999587.
  202. Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, Landman BA. Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans Biomed Eng. 2016 Aug;63(8):1563-72. doi: 10.1109/TBME.2016.2574816. PMCID: PMC4972188.
  203. Gonzalez CE, Venkatraman VK, An Y, Landman BA, Davatzikos C, Ratnam Bandaru VV, Haughey NJ, Ferrucci L, Mielke MM, Resnick SM. Peripheral sphingolipids are associated with variation in white matter microstructure in older adults. Neurobiol Aging. 2016 Jul;43:156-63. doi: 10.1016/j.neurobiolaging.2016.04.008. PMCID: PMC4894643.
  204. Huo Y, Plassard AJ, Carass A, Resnick SM, Pham DL, Prince JL, Landman BA. Consistent cortical reconstruction and multi-atlas brain segmentation. Neuroimage. 2016 Sep;138:197-210. doi: 10.1016/j.neuroimage.2016.05.030. PMCID: PMC4927397.
  205. Xing F, Prince JL, Landman BA. Investigation of Bias in Continuous Medical Image Label Fusion. PLoS One. 2016 Jun 3;11(6):e0155862. doi: 10.1371/journal.pone.0155862. PMCID: PMC4892597.
  206. Xu Z, Gertz AL, Burke RP, Bansal N, Kang H, Landman BA, Abramson RG. Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans. Acad Radiol. 2016 Oct;23(10):1214-20. doi: 10.1016/j.acra.2016.05.015. PMCID: PMC5026951.
  207. By S, Smith AK, Dethrage LM, Lyttle BD, Landman BA, Creasy JL, Pawate S, Smith SA. Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T. J Magn Reson Imaging. 2016 Dec;44(6):1608-1618. doi: 10.1002/jmri.25308. PMCID: PMC5116007.
  208. Lakomkin N, Kang H, Landman B, Hutson MS, Abramson RG. The Attenuation Distribution Across the Long Axis (ADLA): Preliminary Findings for Assessing Response to Cancer Treatment. Acad Radiol. 2016 Jun;23(6):718-23. doi: 10.1016/j.acra.2016.02.007. PMCID: PMC5826561.
  209. Herb JN, Rane S, Isaacs DA, Van Wouwe N, Roman OC, Landman BA, Dawant BM, Hedera P, Zald DH, Neimat JS, Wylie SA, Donahue MJ, Claassen DO. Cortical Implications of Advancing Age and Disease Duration in Parkinson’s Disease Patients with Postural Instability and Gait Dysfunction. J Parkinsons Dis. 2016 May 5;6(2):441-51. doi: 10.3233/JPD-150753. PMCID: PMC5826542.
  210. Tian Q, Resnick SM, Landman BA, Huo Y, Venkatraman VK, Gonzalez CE, Simonsick EM, Shardell MD, Ferrucci L, Studenski SA. Lower gray matter integrity is associated with greater lap time variation in high-functioning older adults. Exp Gerontol. 2016 May;77:46-51. doi: 10.1016/j.exger.2016.02.009. PMCID: PMC4808385.
  211. Schilling K, Janve V, Gao Y, Stepniewska I, Landman BA, Anderson AW. Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI. Neuroimage. 2016 Apr 1;129:185-197. doi: 10.1016/j.neuroimage.2016.01.022. PMCID: PMC4803575.
  212. Damon, S. Panjwani, S. Bao, P. Kochunov, B. Landman, Integration of the Java Image Science Toolkit with E-Science Platform. 2016. InSight Journal. #963. doi: 10.54294/ot81t5.
  213. Tian Q, Ferrucci L, Resnick SM, Simonsick EM, Shardell MD, Landman BA, Venkatraman VK, Gonzalez CE, Studenski SA. The effect of age and microstructural white matter integrity on lap time variation and fast-paced walking speed. Brain Imaging Behav. 2016 Sep;10(3):697-706. doi: 10.1007/s11682-015-9449-6. PMCID: PMC4805500.
  214. Xu Z, Asman AJ, Baucom RB, Abramson RG, Poulose BK, Landman BA. Quantitative CT Imaging of Ventral Hernias: Preliminary Validation of an Anatomical Labeling Protocol. PLoS One. 2015 Oct 28;10(10):e0141671. doi: 10.1371/journal.pone.0141671. PMCID: PMC4624799.
  215. Asman AJ, Huo Y, Plassard AJ, Landman BA. Multi-atlas learner fusion: An efficient segmentation approach for large-scale data. Med Image Anal. 2015 Dec;26(1):82-91. doi: 10.1016/j.media.2015.08.010. PMCID: PMC4679591.
  216. Claassen DO, Dobolyi DG, Isaacs DA, Roman OC, Herb J, Wylie SA, Neimat JS, Donahue MJ, Hedera P, Zald DH, Landman BA, Bowman AB, Dawant BM, Rane S. Linear and Curvilinear Trajectories of Cortical Loss with Advancing Age and Disease Duration in Parkinson’s Disease. Aging Dis. 2016 May 27;7(3):220-9. doi: 10.14336/AD.2015.1110. PMCID: PMC4898918.
  217. Venkatraman VK, Gonzalez CE, Landman B, Goh J, Reiter DA, An Y, Resnick SM. Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths. Neuroimage. 2015 Oct 1;119:406-16. doi: 10.1016/j.neuroimage.2015.06.078. PMCID: PMC5519407.
  218. Xu Z, Burke RP, Lee CP, Baucom RB, Poulose BK, Abramson RG, Landman BA. Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning. Med Image Anal. 2015 Aug;24(1):18-27. doi: 10.1016/j.media.2015.05.009. PMCID: PMC4532551.
  219. Harrigan RL, Yvernault BC, Boyd BD, Damon SM, Gibney KD, Conrad BN, Phillips NS, Rogers BP, Gao Y, Landman BA. Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment. Neuroimage. 2016 Jan 1;124(Pt B):1097-1101. doi: 10.1016/j.neuroimage.2015.05.021. PMCID: PMC4646735.
  220. Sojkova J, Goh J, Bilgel M, Landman B, Yang X, Zhou Y, An Y, Beason-Held LL, Kraut MA, Wong DF, Resnick SM. Voxelwise Relationships Between Distribution Volume Ratio and Cerebral Blood Flow: Implications for Analysis of β-Amyloid Images. J Nucl Med. 2015 Jul;56(7):1042-7. doi: 10.2967/jnumed.114.151480. PMCID: PMC5367770.
  221. Harrigan RL, Plassard AJ, Bryan FW, Caires G, Mawn LA, Dethrage LM, Pawate S, Galloway RL, Smith SA, Landman BA. Disambiguating the optic nerve from the surrounding cerebrospinal fluid: Application to MS-related atrophy. Magn Reson Med. 2016 Jan;75(1):414-22. doi: 10.1002/mrm.25613. PMCID: PMC4561596.
  222. Harrigan RL, Panda S, Asman AJ, Nelson KM, Chaganti S, DeLisi MP, Yvernault BC, Smith SA, Galloway RL, Mawn LA, Landman BA. Robust optic nerve segmentation on clinically acquired computed tomography. J Med Imaging (Bellingham). 2014 Oct;1(3):034006. doi: 10.1117/1.JMI.1.3.034006. PMCID: PMC4478967.
  223. Asman AJ, Landman BA. Hierarchical performance estimation in the statistical label fusion framework. Med Image Anal. 2014 Oct;18(7):1070-81. doi: 10.1016/j.media.2014.06.005. PMCID: PMC4391396.
  224. Kochunov P, Jahanshad N, Sprooten E, Nichols TE, Mandl RC, Almasy L, Booth T, Brouwer RM, Curran JE, de Zubicaray GI, Dimitrova R, Duggirala R, Fox PT, Hong LE, Landman BA, Lemaitre H, Lopez LM, Martin NG, McMahon KL, Mitchell BD, Olvera RL, Peterson CP, Starr JM, Sussmann JE, Toga AW, Wardlaw JM, Wright MJ, Wright SN, Bastin ME, McIntosh AM, Boomsma DI, Kahn RS, den Braber A, de Geus EJ, Deary IJ, Hulshoff Pol HE, Williamson DE, Blangero J, van ‘t Ent D, Thompson PM, Glahn DC. Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. Neuroimage. 2014 Jul 15;95:136-50. doi: 10.1016/j.neuroimage.2014.03.033. PMCID: PMC4043878.
  225. Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005. PMCID: PMC4281883.
  226. Panda S, Asman AJ, Khare SP, Thompson L, Mawn LA, Smith SA, Landman BA. Evaluation of Multi-Atlas Label Fusion for In Vivo MRI Orbital Segmentation. J Med Imaging (Bellingham). 2014 Jul 18;1(2):024002. doi: 10.1117/1.JMI.1.2.024002. PMCID: PMC4280790.
  227. Banalagay R, Covington KJ, Wilkes DM, Landman BA. Resource estimation in high performance medical image computing. Neuroinformatics. 2014 Oct;12(4):563-73. doi: 10.1007/s12021-014-9234-5. PMCID: PMC4381797.
  228. Liu Y, Konrad PE, Neimat JS, Tatter SB, Yu H, Datteri RD, Landman BA, Noble JH, Pallavaram S, Dawant BM, D’Haese PF. Multisurgeon, multisite validation of a trajectory planning algorithm for deep brain stimulation procedures. IEEE Trans Biomed Eng. 2014 Sep;61(9):2479-87. doi: 10.1109/TBME.2014.2322776. PMCID: PMC4142093.
  229. Yvernault BC, Theobald CD Jr, Smith JC, Villalta V, Zald DH, Landman BA. Validating DICOM transcoding with an open multi-format resource. Neuroinformatics. 2014 Oct;12(4):615-7. doi: 10.1007/s12021-014-9230-9. PMCID: PMC4391369.
  230. Asman AJ, Bryan FW, Smith SA, Reich DS, Landman BA. Groupwise multi-atlas segmentation of the spinal cord’s internal structure. Med Image Anal. 2014 Apr;18(3):460-71. doi: 10.1016/j.media.2014.01.003. PMCID: PMC4009677.
  231. Bryan FW, Xu Z, Asman AJ, Allen WM, Reich DS, Landman BA. Self-assessed performance improves statistical fusion of image labels. Med Phys. 2014 Mar;41(3):031903. doi: 10.1118/1.4864236. PMCID: PMC3978333.
  232. Yang X, Kang H, Newton AT, Landman BA. Evaluation of statistical inference on empirical resting state fMRI. IEEE Trans Biomed Eng. 2014 Apr;61(4):1091-9. doi: 10.1109/TBME.2013.2294013. PMCID: PMC5826557.
  233. Paul M. Thompson, … Bennett A. Landman, …  Nicholas G. Martin (219 authors). The ENIGMA Consortium: Large-scale Collaborative Analyses of Neuroimaging and Genetic Data. Brain Imaging Behav. 2014 Jun;8(2):153-82. doi: 10.1007/s11682-013-9269-5. PMCID: PMC4008818.
  234. Xu Z, Allen WM, Baucom RB, Poulose BK, Landman BA. Texture analysis improves level set segmentation of the anterior abdominal wall. Med Phys. 2013 Dec;40(12):121901. doi: 10.1118/1.4828791. PMCID: PMC3838426.
  235. Kochunov P, Charlesworth J, Winkler A, Hong LE, Nichols TE, Curran JE, Sprooten E, Jahanshad N, Thompson PM, Johnson MP, Kent JW Jr, Landman BA, Mitchell B, Cole SA, Dyer TD, Moses EK, Goring HH, Almasy L, Duggirala R, Olvera RL, Glahn DC, Blangero J. Transcriptomics of cortical gray matter thickness decline during normal aging. Neuroimage. 2013 Nov 15;82:273-83. doi: 10.1016/j.neuroimage.2013.05.066. PMCID: PMC3759649.
  236. Jahanshad N, Kochunov PV, Sprooten E, Mandl RC, Nichols TE, Almasy L, Blangero J, Brouwer RM, Curran JE, de Zubicaray GI, Duggirala R, Fox PT, Hong LE, Landman BA, Martin NG, McMahon KL, Medland SE, Mitchell BD, Olvera RL, Peterson CP, Starr JM, Sussmann JE, Toga AW, Wardlaw JM, Wright MJ, Hulshoff Pol HE, Bastin ME, McIntosh AM, Deary IJ, Thompson PM, Glahn DC. Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group. Neuroimage. 2013 Nov 1;81:455-469. doi: 10.1016/j.neuroimage.2013.04.061. Erratum in: Neuroimage. 2014 Apr 15;90:470-1. PMCID: PMC3729717.
  237. Lauzon CB, Asman AJ, Esparza ML, Burns SS, Fan Q, Gao Y, Anderson AW, Davis N, Cutting LE, Landman BA. Simultaneous analysis and quality assurance for diffusion tensor imaging. PLoS One. 2013 Apr 30;8(4):e61737. doi: 10.1371/journal.pone.0061737. PMCID: PMC3640065.
  238. Asman AJ, Chambless LB, Thompson RC, Landman BA. Out-of-atlas likelihood estimation using multi-atlas segmentation. Med Phys. 2013 Apr;40(4):043702. doi: 10.1118/1.4794478. PMCID: PMC3625241.
  239. Lauzon CB, Landman BA. Correcting power and p-value calculations for bias in diffusion tensor imaging. Magn Reson Imaging. 2013 Jul;31(6):857-64. doi: 10.1016/j.mri.2013.01.002. Erratum in: Magn Reson Imaging. 2014 Apr;32(3):303. PMCID: PMC3888211.
  240. Lauzon CB, Asman AJ, Crainiceanu C, Caffo BC, Landman BA. Assessment of bias for MRI diffusion tensor imaging using SIMEX. Med Image Comput Comput Assist Interv. 2011;14(Pt 2):107-15. doi: 10.1007/978-3-642-23629-7_14. PMCID: PMC3197727.
  241. Holmes MJ, Yang X, Landman BA, Ding Z, Kang H, Abou-Khalil B, Sonmezturk HH, Gore JC, Morgan VL. Functional networks in temporal-lobe epilepsy: a voxel-wise study of resting-state functional connectivity and gray-matter concentration. Brain Connect. 2013;3(1):22-30. doi: 10.1089/brain.2012.0103. PMCID: PMC3621340.
  242. Asman AJ, Landman BA. Non-local statistical label fusion for multi-atlas segmentation. Med Image Anal. 2013 Feb;17(2):194-208. doi: 10.1016/j.media.2012.10.002. PMCID: PMC3648421.
  243. Bogovic JA, Jedynak B, Rigg R, Du A, Landman BA, Prince JL, Ying SH. Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. Neuroimage. 2013 Jan 1;64:616-29. doi: 10.1016/j.neuroimage.2012.08.075. PMCID: PMC3590024.
  244. Landman BA, Bogovic JA, Carass A, Chen M, Roy S, Shiee N, Yang Z, Kishore B, Pham D, Bazin PL, Resnick SM, Prince JL. System for integrated neuroimaging analysis and processing of structure. Neuroinformatics. 2013 Jan;11(1):91-103. doi: 10.1007/s12021-012-9159-9. PMCID: PMC3511612.
  245. Xu Z, Asman AJ, Singh E, Chambless L, Thompson R, Landman BA. Segmentation of malignant gliomas through remote collaboration and statistical fusion. Med Phys. 2012 Oct;39(10):5981-9. doi: 10.1118/1.4749967. PMCID: PMC3461053.
  246. Yang X, Lauzon CB, Crainiceanu C, Caffo B, Resnick SM, Landman BA. Biological parametric mapping accounting for random regressors with regression calibration and model II regression. Neuroimage. 2012 Sep;62(3):1761-8. doi: 10.1016/j.neuroimage.2012.05.020. PMCID: PMC3408815.
  247. Li B, Bryan F, Landman BA. Next Generation of the Java Image Science Toolkit (JIST): Visualization and Validation. Insight J. 2012 Aug 15;2012:1-16. PMCID: PMC4181667.
  248. Asman AJ, Landman BA. Formulating spatially varying performance in the statistical fusion framework. IEEE Trans Med Imaging. 2012 Jun;31(6):1326-36. doi: 10.1109/TMI.2012.2190992. Epub 2012 Mar 15. Erratum in: IEEE Trans Med Imaging. 2012 Jul;31(7):1505. PMCID: PMC3368083.
  249. Beason-Held LL, Thambisetty M, Deib G, Sojkova J, Landman BA, Zonderman AB, Ferrucci L, Kraut MA, Resnick SM. Baseline cardiovascular risk predicts subsequent changes in resting brain function. Stroke. 2012 Jun;43(6):1542-7. doi: 10.1161/STROKEAHA.111.638437. PMCID: PMC3361601.
  250. Gray WR, Bogovic JA, Vogelstein JT, Landman BA, Prince JL, Vogelstein RJ. Magnetic resonance connectome automated pipeline: an overview. IEEE Pulse. 2012 Mar;3(2):42-8. doi: 10.1109/MPUL.2011.2181023. PMID: 22481745.
  251. Jung BC, Choi SI, Du AX, Cuzzocreo JL, Ying HS, Landman BA, Perlman SL, Baloh RW, Zee DS, Toga AW, Prince JL, Ying SH. MRI shows a region-specific pattern of atrophy in spinocerebellar ataxia type 2. Cerebellum. 2012 Mar;11(1):272-9. doi: 10.1007/s12311-011-0308-8. PMCID: PMC3785794.
  252. Landman BA, Bogovic JA, Wan H, El Zahraa ElShahaby F, Bazin PL, Prince JL. Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI. Neuroimage. 2012 Feb 1;59(3):2175-86. doi: 10.1016/j.neuroimage.2011.10.011. PMCID: PMC3254826.
  253. Landman BA, Asman AJ, Scoggins AG, Bogovic JA, Xing F, Prince JL. Robust statistical fusion of image labels. IEEE Trans Med Imaging. 2012 Feb;31(2):512-22. doi: 10.1109/TMI.2011.2172215. PMCID: PMC3262958.
  254. Landman BA, Asman AJ, Scoggins AG, Bogovic JA, Stein JA, Prince JL. Foibles, follies, and fusion: web-based collaboration for medical image labeling. Neuroimage. 2012 Jan 2;59(1):530-9. doi: 10.1016/j.neuroimage.2011.07.085. PMCID: PMC3195954.
  255. Asman AJ, Landman BA. Robust statistical label fusion through COnsensus Level, Labeler Accuracy, and Truth Estimation (COLLATE). IEEE Trans Med Imaging. 2011 Oct;30(10):1779-94. doi: 10.1109/TMI.2011.2147795. PMCID: PMC3150602.
  256. Dula AN, Asche EM, Landman BA, Welch EB, Pawate S, Sriram S, Gore JC, Smith SA. Development of chemical exchange saturation transfer at 7 T. Magn Reson Med. 2011 Sep;66(3):831-8. doi: 10.1002/mrm.22862. PMCID: PMC3156337.
  257. Yang X, Beason-Held L, Resnick SM, Landman BA. Biological parametric mapping with robust and non-parametric statistics. Neuroimage. 2011 Jul 15;57(2):423-30. doi: 10.1016/j.neuroimage.2011.04.046. PMCID: PMC3114289.
  258. Huang H, Prince JL, Mishra V, Carass A, Landman B, Park DC, Tamminga C, King R, Miller MI, van Zijl PC, Mori S. A framework on surface-based connectivity quantification for the human brain. J Neurosci Methods. 2011 Apr 30;197(2):324-32. doi: 10.1016/j.jneumeth.2011.02.017. PMCID: PMC3081907.
  259. Landman BA, Huang AJ, Gifford A, Vikram DS, Lim IA, Farrell JA, Bogovic JA, Hua J, Chen M, Jarso S, Smith SA, Joel S, Mori S, Pekar JJ, Barker PB, Prince JL, van Zijl PC. Multi-parametric neuroimaging reproducibility: a 3-T resource study. Neuroimage. 2011 Feb 14;54(4):2854-66. doi: 10.1016/j.neuroimage.2010.11.047. PMCID: PMC3020263.
  260. Du AX, Cuzzocreo JL, Landman BA, Zee DS, Prince JL, Ying SH. Diffusion tensor imaging reveals disease-specific deep cerebellar nuclear changes in cerebellar degeneration. J Neurol. 2010 Aug;257(8):1406-8. doi: 10.1007/s00415-010-5523-6. PMCID: PMC2963035.
  261. Farrell JA, Zhang J, Jones MV, Deboy CA, Hoffman PN, Landman BA, Smith SA, Reich DS, Calabresi PA, van Zijl PC. q-space and conventional diffusion imaging of axon and myelin damage in the rat spinal cord after axotomy. Magn Reson Med. 2010 May;63(5):1323-35. doi: 10.1002/mrm.22389. PMCID: PMC2862595.
  262. Landman BA, Farrell JA, Smith SA, Reich DS, Calabresi PA, van Zijl PC. Complex geometric models of diffusion and relaxation in healthy and damaged white matter. NMR Biomed. 2010 Feb;23(2):152-62. doi: 10.1002/nbm.1437. PMCID: PMC2838925.
  263. Smith SA, Jones CK, Gifford A, Belegu V, Chodkowski B, Farrell JA, Landman BA, Reich DS, Calabresi PA, McDonald JW, van Zijl PC. Reproducibility of tract-specific magnetization transfer and diffusion tensor imaging in the cervical spinal cord at 3 tesla. NMR Biomed. 2010 Feb;23(2):207-17. doi: 10.1002/nbm.1447. PMCID: PMC2830283.
  264. Lucas BC, Bogovic JA, Carass A, Bazin PL, Prince JL, Pham DL, Landman BA. The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software. Neuroinformatics. 2010 Mar;8(1):5-17. doi: 10.1007/s12021-009-9061-2. Erratum in: Neuroinformatics. 2010 Mar;8(1):19. PMCID: PMC2860951.
  265. Ying SH, Landman BA, Chowdhury S, Sinofsky AH, Gambini A, Mori S, Zee DS, Prince JL. Orthogonal diffusion-weighted MRI measures distinguish region-specific degeneration in cerebellar ataxia subtypes. J Neurol. 2009 Nov;256(11):1939-42. doi: 10.1007/s00415-009-5269-1. PMCID: PMC2789274.
  266. Landman BA, Bazin PL, Smith SA, Prince JL. Robust estimation of spatially variable noise fields. Magn Reson Med. 2009 Aug;62(2):500-9. doi: 10.1002/mrm.22013. PMCID: PMC2806192.
  267. Landman BA, Bazin PL, Prince JL. Estimation and application of spatially variable noise fields in diffusion tensor imaging. Magn Reson Imaging. 2009 Jul;27(6):741-51. doi: 10.1016/j.mri.2009.01.001. PMCID: PMC2733233.
  268. Kim M, Gillen J, Landman BA, Zhou J, van Zijl PC. Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments. Magn Reson Med. 2009 Jun;61(6):1441-50. doi: 10.1002/mrm.21873. PMCID: PMC2860191.
  269. Shinagawa H, Murano EZ, Zhuo J, Landman B, Gullapalli RP, Prince JL, Stone M. Effect of oral appliances on genioglossus muscle tonicity seen with diffusion tensor imaging: a pilot study. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2009 Mar;107(3):e57-63. doi: 10.1016/j.tripleo.2008.11.022. PMCID: PMC2925838.
  270. Landman BA, Farrell JA, Huang H, Prince JL, Mori S. Diffusion tensor imaging at low SNR: nonmonotonic behaviors of tensor contrasts. Magn Reson Imaging. 2008 Jul;26(6):790-800. doi: 10.1016/j.mri.2008.01.034.: PMC2583784.
  271. Ozturk A, Sasson AD, Farrell JA, Landman BA, da Motta AC, Aralasmak A, Yousem DM. Regional differences in diffusion tensor imaging measurements: assessment of intrarater and interrater variability. AJNR Am J Neuroradiol. 2008 Jun;29(6):1124-7. doi: 10.3174/ajnr.A0998. PMCID: PMC8118842.
  272. Shinagawa H, Murano EZ, Zhuo J, Landman B, Gullapalli RP, Prince JL, Stone M. (2008). Tongue muscle fiber tracking during rest and tongue protrusion with oral appliances: A preliminary study with diffusion tensor imaging. Acoustical Science and Technology, 29(4), 291-294. https://doi.org/10.1250/ast.29.
  273. Landman BA, Farrell JA, Jones CK, Smith SA, Prince JL, Mori S. Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. Neuroimage. 2007 Jul 15;36(4):1123-38. doi: 10.1016/j.neuroimage.2007.02.056. PMID: 17532649.
  274. Farrell JA, Landman BA, Jones CK, Smith SA, Prince JL, van Zijl PC, Mori S. Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T. J Magn Reson Imaging. 2007 Sep;26(3):756-67. doi: 10.1002/jmri.21053. PMCID: PMC2862967.
  275. Fein G, Landman B, Tran H, McGillivray S, Finn P, Barakos J, Moon K. Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task. Neuroimage. 2006 Sep;32(3):1465-71. doi: 10.1016/j.neuroimage.2006.06.013. PMCID: PMC1868686.
  276. Fein G, Landman B, Tran H, Barakos J, Moon K, Di Sclafani V, Shumway R. Statistical parametric mapping of brain morphology: sensitivity is dramatically increased by using brain-extracted images as inputs. Neuroimage. 2006 May 1;30(4):1187-95. doi: 10.1016/j.neuroimage.2005.10.054. PMCID: PMC1987363.
  277. Harper C, Matsumoto I, Pfefferbaum A, Adalsteinsson E, Sullivan EV, Lewoh IJ, Dodd PR, Taylor MJ, Fein G, Landman B. The pathophysiology of ‘brain shrinkage’ in alcoholics structural and molecular changes and clinical implications. Alcoholism: Clinical and Experimental Research. 2005;29:1106–1115.
  278. Fein G, Landman B. Treated and treatment-naive alcoholics come from different populations. Alcohol. 2005 Jun;36(2):19-26. PMCID: PMC1868689.
  279. Fein G, Di Sclafani V, Taylor C, Moon K, Barakos J, Tran H, Landman B, Shumway R. Controlling for premorbid brain size in imaging studies: T1-derived cranium scaling factor vs. T2-derived intracranial vault volume. Psychiatry Res. 2004 Jul 30;131(2):169-76. doi: 10.1016/j.pscychresns.2003.10.003. PMID: 15313523.

Highly Selective Conference Publications

(Acceptance based on peer review of full paper. Acceptance Rate <= 33%)

  1. Liu, J., Zhang, Y., Chen, J.N., Xiao, J., Lu, Y., Landman, B.A., Yuan, Y., Yuille, A., Tang, Y. and Zhou, Z., 2023. Clip-driven universal model for organ segmentation and tumor detection. IEEE conference on computer vision and pattern recognition, 2023.
  2. Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Yuankai Huo, Xenofon Koutsoukos, Bennett A. Landman, “Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation”, MICCAI 2023 (March 2023)
  3. Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko. Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. Medical Image Computing and Computer Assisted Intervention (2023). (Oral Presentation)
  4. Ho Hin Lee, Shunxing Bao,Yuankai Huo, Bennett A. Landman. 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.  doi: 10.48550/arXiv.2209.15076. International Conference on Learning Representations (ICLR). May 2023.
  5. Zhou, Shuang, Yuankai Huo, Shunxing Bao, Bennett A. Landman, and Aniruddha S. Gokhale. “FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning. doi: 10.1109/ACSOS55765.2022.00025. 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).
  6. Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman, “Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models”, MICCAI 2022.
  7. Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, and Yuankai Huo “Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. doi: 10.48550/arXiv.2203.04419. Medical Image Computing and Computer Assisted Interventions (MICCAI). October 2022.
  8. Tang, D. Yang, W. Li, H. Roth, B. A. Landman, D. Xu, V. Nath, A. Hatamizadeh. Self-Supervised Pre-Training of Transformers for Medical Image Analysis. doi: 10.1109/CVPR52688.2022.02007. CVPR 2022.
  9. Khan MS, Landman BA, Deppen SA, Matheny ME. Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. AMIA Annu Symp Proc. 2022 Feb 21;2021:631-640. PMCID: PMC8861761. (Best Paper Finalist)
  10. Yucheng Tang, Riqiang Gao, Ho Hin Lee, Xin Yu, Qi Yang, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey Spraggins, Jack Virostko, Zhoubing Xu, Bennet A. Landman. Pancreas CT Segmentation by Predictive Phenotyping. doi: 10.1007/978-3-030-87193-2_3. International Conference on Medical Image Computing and Computer Assisted Intervention, 2021.
  11. Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve A. Deppen, Kim L. Sandler, Pierre P. Massion, Tomas A. Lasko, Yuankai Huo, Bennett A. Landman. Learning from Incomplete Data of Multiple Modalities: A Joint Missing Imputation Perspective. doi: 10.1007/978-3-030-87240-3_62. MICCAI 2021.
  12. Yang H, Deng R, Lu Y, Zhu Z, Chen Y, Roland JT, Lu L, Landman BA, Fogo AB, Huo Y. CircleNet: Anchor-free Glomerulus Detection with Circle Representation. Med Image Comput Comput Assist Interv. 2020;2020:35-44. doi: 10.1007/978-3-030-59719-1_4. PMCID: PMC8372751. MICCAI 2020.
  13. Nath V, Lyu I, Schilling KG, Parvathaneni P, Hansen CB, Tang Y, Huo Y, Janve VA, Gao Y, Stepniewska I, Anderson AW, Landman BA. Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. Med Image Comput Comput Assist Interv. 2019 Oct;11766:573-581. doi: 10.1007/978-3-030-32248-9_64. PMCID: PMC8188904. MICCAI 2019.
  14. Parvathaneni P, Bao S, Nath V, Woodward ND, Claassen DO, Cascio CJ, Zald DH, Huo Y, Landman BA, Lyu I. Cortical Surface Parcellation using Spherical Convolutional Neural Networks. Med Image Comput Comput Assist Interv. 2019 Oct;11766:501-509. doi: 10.1007/978-3-030-32248-9_56. PMCID: PMC6892466. MICCAI 2019.
  15. Chaganti S, Bermudez C, Mawn LA, Lasko T, Landman BA. Contextual Deep Regression Network for Volume Estimation in Orbital CT. Med Image Comput Comput Assist Interv. 2019 Oct;11769:104-111. doi: 10.1007/978-3-030-32226-7_12. PMCID: PMC8796819. MICCAI 2019.
  16. Bao S, Plassard AJ, Landman BA, Gokhale A. Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. Proc IEEE Int Conf Cloud Eng. 2017 Apr;2017:127-137. doi: 10.1109/IC2E.2017.23. PMCID: PMC5584067. IEEE BigData 2018, Seattle.
  17. Huo Y, Xu Z, Xiong Y, Aboud K, Parvathaneni P, Bao S, Bermudez C, Resnick SM, Cutting LE, Landman BA. 3D whole brain segmentation using spatially localized atlas network tiles. Neuroimage. 2019 Jul 1;194:105-119. doi: 10.1016/j.neuroimage.2019.03.041. PMCID: PMC6536356. MICCAI 2018.
  18. Lyu I, Styner MA, Landman BA. Hierarchical Spherical Deformation for Shape Correspondence. Med Image Comput Comput Assist Interv. 2018 Sep;11070:853-861. doi: 10.1007/978-3-030-00928-1_96. PMCID: PMC6892465. MICCAI 2018. (Oral presentation)
  19. Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter Full, Hrvoje Bogunovic, Bennett Landman, Oskar Maier, Bjoern Menze, Gregory Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew Bradley, Pierre Jannin, Anette Kopp-Schneider. How to exploit weaknesses in biomedical challenge design and organization. doi: 10.1007/978-3-030-00937-3_45. MICCAI 2018.
  20. Zhoubing Xu, Yuankai Huo, JinHyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic, Shaohua Zhou. Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. doi: 10.48550/arXiv.1805.10376. MICCAI 2018.
  21. Parvathaneni P, Rogers BP, Huo Y, Schilling KG, Hainline AE, Anderson AW, Woodward ND, Landman BA. Gray Matter Surface based Spatial Statistics (GS-BSS) in Diffusion Microstructure. doi: 10.1007/978-3-319-66182-7_73. PMCID: PMC5722235. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer. Quebec City, Canada, September 2017. (Best Paper Finalist)
  22. Bao S, Plassard AJ, Landman BA, Gokhale A. Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IEEE International Conference on Cloud Engineering (IC2E), Vancouver, Canada, April 2017.  doi: 10.1109/IC2E.2017.23. PMCID: PMC5584067.
  23. Huo Y, Aboud K, Kang H, Cutting LE, Landman BA. Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI. Med Image Comput Comput Assist Interv. 2016 Oct;9900:81-88. doi: 10.1007/978-3-319-46720-7_10. PMCID: PMC5302120. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016. (Oral presentation)
  24. Xu Z, Asman AJ, Shanahan PL, Abramson RG, Landman BA. SIMPLE is a good idea (and better with context learning). Med Image Comput Comput Assist Interv. 2014;17(Pt 1):364-71. doi: 10.1007/978-3-319-10404-1_46. PMCID: PMC5102148. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, September 2014.
  25. Asman AJ, Smith SA, Reich DS, Landman BA. Robust GM/WM segmentation of the spinal cord with iterative non-local statistical fusion. Med Image Comput Comput Assist Interv. 2013;16(Pt 1):759-67. doi: 10.1007/978-3-642-40811-3_95. PMCID: PMC3918679. In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2013 Nagoya, Japan.
  26. Asman AJ, Landman BA. Non-local STAPLE: an intensity-driven multi-atlas rater model. Med Image Comput Comput Assist Interv. 2012;15(Pt 3):426-34. doi: 10.1007/978-3-642-33454-2_53. PMCID: PMC3539246. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, September 2012. (32% acceptance rate)
  27. Yang X, Kang H, Newton A, Landman BA. Quantitative evaluation of statistical inference in resting state functional MRI. Med Image Comput Comput Assist Interv. 2012;15(Pt 2):246-53. doi: 10.1007/978-3-642-33418-4_31. PMCID: PMC3539225. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, September 2012. (32% acceptance rate)
  28. Asman AJ, Landman BA. Characterizing spatially varying performance to improve multi-atlas multi-label segmentation. Inf Process Med Imaging. 2011;22:85-96. doi: 10.1007/978-3-642-22092-0_8. PMCID: PMC3140117. In Proceedings of the 2011 International Conference on Information Processing in Medical Imaging (IPMI), Irsee, Bavaria, July 2011. (Oral presentation) (28% acceptance rate)
  29. Lauzon CB, Asman AJ, Crainiceanu C, Caffo BC, Landman BA. Assessment of bias for MRI diffusion tensor imaging using SIMEX. Med Image Comput Comput Assist Interv. 2011;14(Pt 2):107-15. doi: 10.1007/978-3-642-23629-7_14. PMCID: PMC3197727. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September 2011. (30% acceptance rate)

Refereed Conference Publications

(Acceptance based on peer review of a paper. Acceptance Rate > 30%)

  1. Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman, “Predicting Age from White Matter Diffusivity with Residual Learning.” SPIE Medical Imaging: Image Processing. San Diego, CA. February 2024. Accepted
  2. Hanliang Xu, Nancy R. Newlin, Michael E.Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios,  Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, The BIOCARD Study Team, Ivana Isgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, Bennett A. Landman. “Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites”. SPIE Medical Imaging: Image Processing. San Diego, CA. February 2024. Accepted
  3. Michael E. Kim, Ho Hin Lee, Karthik Ramadass, Chenyu Gao, Katherine Van Schaik, Eric Tkaczyk, Jeffrey Spraggins, Daniel C. Moyer, Bennett A. Landman, “Characterizing Low-cost Registration for Photographic Images to Computed Tomography.” SPIE Medical Imaging: Clinical and Biomedical Imaging. San Diego, CA. February 2024. Accepted
  4. Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, and Yuankai Huo. “A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI”, Computational Diffusion MRI Workshops, CDMRI 2023
  5. Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas, W. Remedios, Bennett A. Landman, Yucheng Tang and Yuankai Huo, “All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning”, Asia Conference on Computers and Communications, ACCC 2023.
  6. Alexa L. Eby, Lucas W. Remedios, Michael E. Kim, Muwei Li, Yurui Gao, John C. Gore, Kurt G. Schilling, Bennett A. Landman , “Identification of functional white matter networks in BOLD fMRI.”, SPIE Medical Imaging: Image Processing. San Diego, CA. February 2024. Accepted
  7. Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas, W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A., Coburn, Keith T. Wilson, Bennett A. Landman, and Yuankai Huo, “Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images”, MICCAI MILLanD workshop 2023
  8. Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Cailey I. Kerley, Praitayini Kanakaraj, Qi Yang, Graham W. Johnson, Daniel Moyer, Kurt G. Schilling, Francois Rheault, Bennett A. Landman (2023). Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. MIDL 2023
  9. Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, “Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior”, Medical Imaging with Deep Learning (MIDL) 2023
  10. Ruining Deng*, Can Cui*, Quan Liu*, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo. Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. Medical Imaging with Deep Learning (MIDL 2023) short paper track. (*Joint first author: contributed equally)
  11. Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman (2023). Exploring shared memory architectures for end-to-end gigapixel deep learning. MIDL 2023
  12. Cai LY, Lee HH, Newlin NR, Kim ME, Moyer D, Rheault F, Schilling KG, Landman BA. Implementation considerations for deep learning with diffusion MRI streamline tractography. In Proceedings of Machine Learning Research. 2023. Accepted.
  13. Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman (2023). Exploring shared memory architectures for end-to-end gigapixel deep learning. MIDL 2023. Accepted.
  14. Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas W. Remedios, Ruining Deng, Can Cui, Leon Y. Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo, “Alleviating tiling effect by random sliding window in high-resolution histological whole slide image synthesis”, Medical Imaging with Deep Learning (MIDL) 2023. July 2023
  15. Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman. “Mapping the Impact of Approximate Gradient Nonlinearity Fields Correction on Tractography.” SPIE Medical Imaging: Image Processing. February 2023.
  16. Cailey I. Kerley, Leon Y. Cai, Yucheng Tang, Lori L. Beason-Held, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman. “Batch size: Go big or go home? Counterintuitive improvement in medical autoencoders with smaller batch size.” SPIE Medical Imaging: Image Processing. February 2023. (Oral presentation)
  17. Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, Kurt G. Schilling. “SynBOLD-DisCo: Synthetic BOLD images for distortion correction of fMRI without additional calibration scans.” SPIE Medical Imaging: Image Processing. February 2023. (Oral presentation)
  18. Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman. “Predicting Crohn’s disease severity in the colon using mixed cell nucleus density from pseudo labels.” SPIE Medical Imaging: Digital and Computational Pathology. February 2023. (Oral presentation)
  19. Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman. “Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation.” SPIE Medical Imaging: Image Processing. February 2023.
  20. Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim Sandler, Bennett A. Landman. “Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.” SPIE Medical Imaging: Image Processing. San Diego, CA. February 19-23, 2023. (Oral presentation)
  21. Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo. “Influence of Cell-type Ratio on Spatially Resolved Single-cell Transcriptomes with the Tangram Algorithm: based on the Implementation on Single-Cell and MxIF Data.” SPIE Medical Imaging: Digital and Computational Pathology. February 2023. (Oral presentation)
  22. Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo. “Topological-Preserving Membrane Skeleton Segmentation in Multiplex Immunofluorescence Imaging.”SPIE Medical Imaging: Image Processing. February 2023. (Oral presentation)
  23. Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Jeffrey M. Spraggins Yuankai Huo, Bennett A. Landman.“Unsupervised Registration Refinement for Generating Unbiased Eye Atlas.” SPIE Medical Imaging. February 2023.
  24. Nancy R. Newlin, Leon Y. Cai, Derek Archer, Kimberly R. Pechman, Kurt G. Schilling, Angela Jefferson, Susan M. Resnick, Timothy J. Hohman, Andrea T. Shafer, Bennett A. Landman. “Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.” SPIE Medical Imaging: Image Processing. February 2023.
  25. Chenxi Dong, Thomas Z. Li, Kaiwen Xu, Zekun Wang, Fabien Maldonado, Kim Sandler, Bennett A. Landman, Yuankai Huo. “Characterizing browser-based medical imaging AI with serverless edge computing: towards addressing clinical data security constraints.” SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications. February 2023. (Oral presentation, RFW All Conference Best Paper Finalist)
  26. Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey Kerley, Micah D’Archangel, Laura A Barquero, Allen T. Newton, Benoit M.  Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman. “Deep whole brain segmentation of 7T structural MRI.“ SPIE Medical Imaging: Image processing. February 2023.
  27. Yao, T., Rheault, F., Cai, L., Nath, V., Asad, Z., Newlin, N., Cui, C., Deng, R., Ramadass, K., Schilling, K., Landman, B.A., Huo, Y., “Deep Constrained Spherical Deconvolution for Robust Harmonization.” SPIE Medical Imaging: Image Processing. February 2023. (Oral presentation. RFW All Conference Best Paper Finalist)
  28. Xu, K., Khan, M. S., Li, T., Gao, R., Antic, S. L., Huo, Y., Sandler, K. L., Maldonado, F., & Landman, B. A. “Stratification of Lung Cancer Risk with Thoracic Imaging Phenotypes.” SPIE Medical Imaging 2023. (Oral presentation)
  29. Yurui Gao, Dylan R Lawless, Muwei Li, Yu Zhao, Kurt G Schilling, Lyuan Xu, Andrea T Shafer, Lori L Beason-Held, Susan M Resnick, Baxter P Rogers, Zhaohua Ding, Adam W Anderson, Bennett A Landman, John C Gore. “Automatic preprocessing pipeline for white matter functional analyses of large-scale databases.” SPIE Medical Imaging, San Diego, California, Feb 2023. MID: 37600506 PMCID: PMC10437151. (Oral presentation)
  30. Lucie Dole, Kurt G. Schilling, Hakmook Kang, John C. Gore, Bennett A. Landman. “Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function.” SPIE Medical Imaging, San Diego, California, Feb 2023. (Oral presentation)
  31. Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo. “MxIF Q-score: Biology-informed Quality Assurance for Multiplexed Immunofluorescence Imaging.” International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis. Springer, Cham, 2022. doi: 10.1007/978-3-031-16961-8_5.
  32. Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo. “Cross-scale Attention Guided Multi-Instance Learning for Crohn’s Disease Diagnosis with Pathological Images.” International Workshop on Multiscale Multimodal Medical Imaging 2022. doi: 10.1007/978-3-031-18814-5_3. PMCID: PMC9628695.
  33. Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman. “Extending the value of routine lung screening CT with quantitative body composition assessment.” SPIE Medical Imaging, 2022. doi: 10.1117/12.2611784. PMCID: PMC9604426. (Oral Presentation)
  34. Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman. “Accelerating 2D Abdominal Organ Segmentation with Active Learning.” Medical Imaging 2022: Image Processing. International Society for Optics and Photonics, 2022. doi: 10.1117/12.2611595. PMCID: PMC9604047. (Poster Presentation)
  35. Qi Yang, Xin Yu, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kris S Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman. “Quantification of muscle, bones and fat on single slice thigh CT.” Medical Imaging 2022: Image Processing. International Society for Optics and Photonics. doi: 10.1117/12.2611664. PMCID: PMC9603775. (Oral Presentation)
  36. Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffery M. Spraggins, Mattias Heinrich, Yuankai Huo, Bennett A. Landman. “Supervised Deep Generation of High-Resolution Arterial Phase Computed Tomography Kidney Substructure Atlas.” SPIE 2022 Medical Imaging. doi: 10.1117/12.2608290. PMCID: PMC9605120. (Poster Presentation)
  37. Ashwin Kumar, Simon Vandekar, Kurt Schilling, Aashim Bhatia, Bennett A. Landman, Seth Smith. “Mapping Pediatric Spinal Cord Development with Age.” SPIE Medical Imaging 2022. doi: 10.1117/12.2612210. PMCID: PMC9733418. (Oral Presentation)
  38. Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman. “Mapping the Impact of Non-Linear Gradient Fields on Diffusion MRI Tensor Estimations.” SPIE Medical Imaging. doi: 10.1117/12.2611900. PMCID: PMC9604130. (Oral Presentation)
  39. Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah DArchangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman. “Ultra-high-resolution Mapping of Cortical Layers 3T-Guided 7T MRI.” SPIE Medical Imaging 2022. doi: 10.1117/12.2611857. PMCID: PMC9605105. (Oral Presentation)
  40. Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo. “Inpainting Missing Tissue in Multiplexed Immunofluorescence Imaging.” Medical Imaging 2022: Digital and Computational Pathology. International Society for Optics and Photonics. doi: 10.1117/12.2611827. PMCID: PMC9070577. (Oral Presentation)
  41. Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman. Efficient Quality Control with Mixed CT and CTA Datasets. Proc SPIE Int Soc Opt Eng 2022. (Oral Presentation)
  42. Yuzhe Wang, Francois Rheault, Kurt G. Schilling, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman. “Longitudinal changes of connectomes and graph theory measures in aging.” SPIE Medical Imaging 2022. doi: 10.1117/12.2611845. PMCID: PMC9060568. (Poster Presentation)
  43. Leon Y. Cai, Costin Tanase, Adam W. Anderson, Karthik Ramadass, Francois Rheault, Chelsea A. Lee, Niral J. Patel, Sky Jones, Lauren M. LeStourgeon, Alix Mahon, Sumit Pruthi, Kriti Gwal, Arzu Ozturk, Hakmook Kang, Nicole Glaser, Simona Ghetti, Sarah S. Jaser, Lori C. Jordan, Bennett A. Landman. “Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability.” SPIE Medical Imaging 2022. doi: 10.1117/12.2611553. PMCID: PMC9604061. (Poster Presentation)
  44. Leon Y. Cai, Francois Rheault, Cailey I. Kerley, Katherine S. Aboud, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Lori C. Jordan, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman. “Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer’s disease.” SPIE Medical Imaging 2022. doi: 10.1117/12.2611562. PMCID: PMC9603731. (Oral Presentation)
  45. Shuang Zhou, Bennett A. Landman, Yuankai Huo, Aniruddha S. Gokhale. “Communication-Efficient Federated Learning for Multi-Institutional Medical Image Classification.” SPIE Medical Imaging, 2022. doi: 10.1117/12.2611654. PMCID: PMC9605156. (Oral Presentation)
  46. Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, and Yuankai Huo (2022). “Multi-view learning with missing data for cancer diagnosis using histopathological and genomic data.” doi: 10.1117/12.2612318. PMCID: PMC9605813. SPIE Medical Imaging. (Oral Presentation) (Robert F. Wagner Best Student Paper Award Finalist)
  47. Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger Roth, Daguang Xu. “UNETR: Transformers for 3D Medical Image Segmentation.” WACV. January 2022. doi: 10.48550/arXiv.2103.10504.
  48. Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo. “Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging.” MICCAI 2021 COMPAY Workshop. October 2021. PMCID: PMC8730359.
  49. Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, bjoern menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein. “Common limitations of performance metrics in biomedical image analysis.” MIDL 2021. doi: 10.48550/arXiv.2104.05642. (Best Short Oral Presentation)
  50. Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman. “RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior.” IEEE ISBI 2021. doi: 10.1109/ISBI48211.2021.9433975. PMCID: PMC8522467.
  51. Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman. “Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk.” SPIE Medical Imaging, 2021. doi: 10.1117/12.2580730. PMCID: PMC8513783. (Oral) (RFW All Conference Best Paper Finalist)
  52. Yucheng Tang, Riqiang Gao, Ho Hin Lee, Brent V. Savoie, Shunxing Bao, Yuankai Huo, Agnes Fogo, Raymond Harris, Mark deCaestecker, Jeffrey Spraggins, Bennett A, Landman. “Renal Cortex, Medulla, Pelvis Segmentation on Arterial Phase CT Images with Random Patch-based Networks.” SPIE 2021 Medical Imaging. doi: 10.1117/12.2581101. PMCID: PMC8442958. (Oral)
  53. Shunxing Bao, Sophie Chiron, Yucheng Tang, Cody N. Heiser, Austin N. Southard-Smith, Ho Hin Lee, Marisol A. Ramirez, Yuankai Huo, Mary K. Washington, Elizabeth A. Scoville, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman. “A cross-platform informatics system for the Gut Cell Atlas: integrating from clinical, anatomical and histological data.” SPIE 2021 Medical Imaging. doi: 10.1117/12.2581074. PMCID: PMC8445503. (Oral)
  54. Yue Liu, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu. “Establishing Surface Correspondence for Post-surgical Cortical Thickness Changes in Temporal Lobe Epilepsy.” SPIE Medical Imaging, 2021. doi: 10.1117/12.2580808. PMCID: PMC8442832. (Oral)
  55. Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias Heinrich, Jeffrey Spraggins, Yuankai Huo, Bennett A, Landman. “Construction of a Multi-Phase Contrast Computed Tomography Kidney Atlas.” SPIE 2021 Medical Imaging. doi: 10.1117/12.2580561. PMCID: PMC8336653. (Oral)
  56. Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman. Development and characterization of a chest CT atlas. SPIE Medical Imaging, 2021. (Oral)
  57. Chang Yu, Yue Liu, Leon Y. Cai, Cailey I. Kerley, Kaiwen Xu, Katherine S. Aboud, Warren D. Taylor, Hakmook Kang, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman, Ilwoo Lyu. “Validation of Group-wise Registration for Surface-based Functional MRI Analysis.” SPIE Medical Imaging, 2021. doi: 10.1117/12.2580771. PMCID: PMC8442945. (Poster)
  58. Leon Y. Cai, Cailey I. Kerley, Chang Yu, Katherine S. Aboud, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Lori C. Jordan, Adam W. Anderson, Kurt G. Schilling, Ilwoo Lyu, Bennett A. Landman. “Joint cortical surface and structural connectivity analysis of Alzheimer’s Disease.” SPIE Medical Imaging, 2021. doi: 10.1117/12.2580956. PMCID: PMC8336655. (Poster)
  59. Kerley, C. I., Cai, L. Y., Yu, C., Crawford, L. M., Elenberger, J. M., Singh, E. S., Schilling, K. G., Aboud, K., Landman, B. A., & Rex, T. S. (2021). “Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.” In SPIE Medical Imaging 2021: Image Processing. San Diego, CA. doi: 10.1117/12.2580902. PMCID: PMC8336656. (Oral)
  60. Vishwesh Nath, Karthik Ramadass, Kurt G. Schilling, Colin B. Hansen, Adam W. Anderson, Bennett A. Landman. “DW-MRI Microstructure Model of Models Captured via Single-Shell Bottleneck Deep Learning”. MICCAI CD-MRI 2020, Lima, Peru. doi: 10.1007/978-3-030-73018-5_12. (Oral)
  61. Remedios, S.W., Butman, J.A., Landman, B.A., Pham, D.L. “Federated Gradient Averaging for Multi-Site Training with Gradient-Based Optimizers.”In International Conference on Medical Image Computing and Computer-Assisted Intervention: Distributed and Collaborative Learning. 2020. doi: 10.1007/978-3-030-60548-3_17. PMCID: PMC8442829. (Oral)
  62. Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James Gregory Terry, Jeff Carr, Yuankai Huo, Shunxing Bao and Bennett A. Landman. “Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records”. MICCAI2020 CLIP workshop. PMCID: PMC8188902.
  63. Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman. “Semi-supervised Machine Learning with MixMatch and Equivalence Classes.” MICCAI MIL3ID Workshop. 2020. PMCID: PMC8388309. (Oral)
  64. Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, and Ilwoo Lyu. “Automatic Labeling of Cortical Sulci using Convolutional Neural Networks in a Developmental Cohort”. IEEE International Symposium on Biomedical Imaging (ISBI) 2020. doi: 10.1109/isbi45749.2020.9098414. PMCID: PMC7296783.
  65. Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman, “Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives”, SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549035. PMCID: PMC8148084. (Poster. Best Student Paper Runner-Up)
  66. Nath, S. K. Pathak, K. G. Schilling, W. Schneider, B. A. Landman. “Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI” SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549455. PMCID: PMC8442951. (Oral presentation)
  67. Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman, “Deep Multi- task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging.” SPIE MI:IP 2020. Houston, TX. doi: 10.1117/12.2548464. PMCID: PMC8148074. (Oral presentation) (RFW All Conference Best Paper Finalist)
  68. Bermudez, C., Huo, Y., Blaber, J., Remedios, S.W., Reynolds, J.E., Lebel, C., McHugo, M., Heckers, S., Landman, B.A. “Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Constrast MRI with Augmented Transfer Learning.” SPIE IP:MI 2020. Houston, TX. PMCID: PMC8148607. (Oral)
  69. Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman, “Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision”. SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549033. PMCID: PMC8148095. (Oral presentation)
  70. Yuchen Xu*, Olivia Tang*, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman. “Outlier Guided Optimization of Abdomen Segmentation”, SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549365. PMCID: PMC8074641. (Poster)
  71. Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman. Contrast Phase Classification with a Generative Adversarial Network. SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549438. PMCID: PMC8439360. (Oral presentation)
  72. Kerley, C. I., Schilling, K. G., Blaber, J., Miller, B., Newton, A., Anderson, A. W., Landman, B. A., Rex, T. MRI Correlates of Chronic Symptoms in Mild Traumatic Brain Injury. SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549493. PMCID: PMC8148089. (Poster)
  73. Remedios, S.W., Wu, Z., Bermudez, C., Kerley, C.I., Roy, S., Patel, M.B., Butman, J.A., Landman, B.A., Pham, D.L. Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2549356. PMCID: PMC8148053. (Oral presentation)
  74. Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. “Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection”, SPIE IP:MI 2020. Houston, TX. doi: 10.1117/12.2548755. PMCID: PMC8148030. (Poster) (Honorable Mention Best Student Poster)
  75. Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Stephen A. Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. “Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection”, MICCAI Workshop on Machine learning in medical imaging. 2019. doi: 10.1007/978-3-030-32692-0_36. PMCID: PMC8148226. (Oral presentation)
  76. G. Schilling, V. Nath, S. Remedios, R. G. Bayrak, Y. Gao, J. A. Blaber, Y. Huo, B. A. Landman, A. W. Anderson. “Learning 3D White Matter Microstructure from 2D Histology.” IEEE ISBI 2019, Venice, Italy. doi: 10.1109/isbi.2019.8759388. PMCID: PMC7092618.
  77. Samuel Remedios, Snehashis Roy, Justin Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, and Dzung L. Pham. “Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. doi: 10.1117/12.2511997. PMCID: PMC6786776. (Oral presentation)
  78. Yunxi Xiong, Yuankai Huo, Jiachen Wang, L. Taylor Davis, Maureen McHugo, Bennett A. Landman. “Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. doi: 10.1117/12.2512561. PMCID: PMC6874229.
  79. Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffery Carr, and Bennett A. Landman “Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. doi: 10.1117/12.2512541. PMCID: PMC6874228. (Oral presentation)
  80. Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman. “Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. doi: 10.1117/12.2512559. PMCID: PMC6874227.
  81. Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Karthik Ramadass, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen Williams, Susan Resnick, Lori Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman, “Harmonizing 1.5T/3T Diffusion Weighted MRI through Development of Deep Learning Stabilized Microarchitecture Estimators.” SPIE Medical Imaging, San Diego, CA, 2019. doi: 10.1117/12.2512902. PMCID: PMC7034942. (Oral presentation)
  82. Jiachen Wang, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman. “Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics”. In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. doi: 10.1117/12.2512965. PMCID: PMC6786775.
  83. Colin Hansen, Vishwesh Nath, Allison E. Hainline, Kurt G. Schilling, Prasanna Parvathaneni, Roza G. Bayrak, Justin A. Blaber, Owen Williams, Susan Resnick, Lori Beason-Held, Okan Irfanoglu, Carlo Piepaoli, Adam W. Anderson, Baxter P. Rogers, Bennett A. Landman, “Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI.” SPIE Medical Imaging, San Diego, CA, 2019. doi: 10.1117/12.2512949. PMCID: PMC6786778.
  84. Camilo Bermudez, William J. Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D’Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman. “Towards machine learning prediction of deep brain sitmulation (DBS) intra-operative efficacy maps.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. doi: 10.1117/12.2509728. PMCID: PMC6786774. (Best Student Paper Award)
  85. Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, and Bennett A. Landman. “Improving Splenomegaly Segmentation by Learning from Heterogeneous Multi-Source Labels.” In SPIE Medical Imaging, Image Processing, 2019. doi: 10.1117/12.2512842. PMCID: PMC6874226. (Oral presentation)
  86. Sandra González-Villà, Yuankai Huo, Arnau Oliver, Xavier Lladó, Bennett A. Landman. “Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis”. MICCAI 2018 Patch-MI Workshop. doi: 10.1007/978-3-030-00500-9_12. (Oral presentation)
  87. Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Allison Hainline, Colin Hansen, Camilo Bermudez, Justin Blaber, Vaibhav Janve, Yurui Gao, Jeffrey Luci, Kurt Schilling, Ilwoo Lyu, Iwona Stepniewska, Baxter Rogers, Allen Newton, Taylor Davis, Adam Anderson, Bennett Landman. “Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.” MICCAI CD-MRI 2018. Granada, Spain. PMCID: PMC8388262.
  88. Prasanna Parvathaneni, Shunxing Bao, Allison Hainline, Yuankai Huo, Kurt Schilling, Hakmook Kang, Owen Williams, Neil Woodward, Susan Resnick, David Zald, Ilwoo Lyu and Bennett A. Landman. “Harmonization of white and gray matter features in diffusion microarchitecture for cross sectional studies.” ICCMIA. 2018. doi: 10.1007/978-3-030-04061-1_3. (Oral presentation)
  89. Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Adversarial Synthesis Learning Enables Segmentation without Target Modality Ground Truth.” IEEE ISBI. Washington, DC. 2018. doi: 10.1109/ISBI.2018.8363790. (Oral presentation)
  90. Prasanna Parvathaneni, Ilwoo Lyu, Justin A. Blaber, Yuankai Huo, Allison E. Hainline, Neil D. Woodward, Hakmook Kang, Bennett A. Landman. “Constructing statistically unbiased cortical surface templates using feature-space covariance.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293641. PMCID: PMC5992907. (Best Paper) (Oral presentation)
  91. Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2018.doi: 10.1117/12.2293406. PMCID: PMC5992918. (Oral presentation)
  92. Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman. “Improved stability of whole brain surface parcellation with multi-atlas segmentation.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2281509. PMCID: PMC5998819.
  93. Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha Gokhale, Bennett A. Landman. “A Data Colocation Grid Framework for Big Data Medical Image Processing – Backend Design.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293694. PMCID: PMC5991614. (Oral presentation)
  94. Yurui Gao, Kurt G. Schilling, Iwona Stepniewska, Junzhong Xu, Bennett A. Landman, Dawant M. Benoit, Adam W. Anderson. “Tests of clustering thalamic nuclei based on various dMRI models in the squirrel monkey brain.”Proceedings of SPIE Medical Imaging Conference. Houston, Texas, February 2018. doi: 10.1117/12.2293879. PMCID: PMC6241534. (Oral presentation)
  95. Camilo Bermudez, Andrew J. Plassard, Taylor L. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman. Learning implicit brain MRI manifolds with deep learning. SPIE Medical Imaging. International Society for Optics and Photonics. 2018. doi: 10.1117/12.2293515. PMCID: PMC5990281. (Oral presentation)
  96. Shikha Chaganti, Bennett A. Landman. “QUADRATIC: Quality of Dice in Registration Circuits.” In Proceedings of the SPIE Medical Imaging Conference. Houston, Texas, February 2018. doi: 10.1117/12.2293642. PMCID: PMC5990287. (Oral presentation)
  97. Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin Blaber, Baxter Rogers, Allen Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, Bennett A. Landman. “Evaluation of Inter-site Bias and Variance in Diffusion-Weighted MRI” In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293735. PMCID: PMC5991622. (Oral presentation)
  98. Vishwesh Nath, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman. “SHARD: Spherical Harmonic based Robust Outlier Detection for HARDI Methods”. In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293727. PMCID: PMC5991608. (Oral presentation)
  99. Ilwoo Lyu, Hakmook Kang, Neil D. Woodard, Bennett A. Landman, “Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups”, In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293275. PMCID: PMC5992897. (Oral presentation)
  100. Baxter P. Rogers, Justin Blaber, Allen T. Newton, Colin B. Hansen, E. Brian Welch, Adam W. Anderson, Jeffrey J. Luci, Carlo Pierpaoli, Bennett A. Landman. “Phantom-based field maps for gradient nonlinearity correction in diffusion imaging”. In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293786. PMCID: PMC5990280.
  101. Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Melissa A. Hilmes, Andrew J. Plassard, IlwooLyu, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Fully Convolutional Neural Networks ImproveAbdominal Organ Segmentation.” SPIEMedical Imaging. International Society for Optics and Photonics, 2018. doi: 10.1117/12.2293751. PMCID: PMC5992909. (Cum Laude Poster Award)
  102. Yuankai Huo, Susan M. Resnick, Bennett A. Landman. “4D Multi-atlas Label Fusion using Longitudinal Images. ” International Workshop on Patch-based Techniques in Medical Imaging. Lecture Notes in Computer Science, Springer International Publishing, 2017. Quebec City, Canada. 2017. doi: 10.1007/978-3-319-67434-6_1. PMCID: PMC5793940.
  103. Peijun Hu, Yuankai Huo, Dexing Kong, Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, Bennett A. Landman. “Automated Characterization of Body Composition and Frailty with Clinically Acquired CT”. MICCAI Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging, Lecture Notes in Computer Science, Springer International Publishing, 2017. Quebec City, Canada. 2017. doi: 10.1007/978-3-319-74113-0_3. PMCID: PMC6166477. (Oral presentation) (Best Paper Finalist)
  104. Shikha Chaganti, Kunal Nabar, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman. “EMR-Radiological Phenotypes in Diseases of the Optic Nerve and their Association with Visual Function”. Lecture Notes in Computer Science, Springer International Publishing, 2017. Quebec City, Canada. 2017. doi: 10.1007/978-3-319-67558-9_43. PMCID: PMC5790176. (Oral presentation)
  105. Yuankai Huo, Vaughn G. Braxton, Stanley Duke Herrell, Bennett A Landman, Smita De. “Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.” MICCAI 6th Workshop on Clinical Image-based Procedures. Quebec City, Canada. September 2017. doi: 10.1007/978-3-319-67543-5_9. (Oral presentation)
  106. Tiffany M. Heaster, Alex J. Walsh, Bennett Landman, Melissa C. Skala. “Quantifying the Spatial Distribution of Metabolic Heterogeneity in Cancer” In Proceedings of the SPIE Photonics West Conference. San Francisco, CA, February 2017.
  107. Robert L. Harrigan, Alex K. Smith, Louise A. Mawn, Seth A. Smith, Bennett A. Landman. “Improved Automatic Optic Nerve Radius Estimation from High Resolution MRI” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254370. PMCID: PMC5521273. (Oral presentation)
  108. Stephen M. Damon, Brian D. Boyd, Andrew J. Plassard, Warren Taylor, Bennett A. Landman. “DAX – The Next Generation: Towards One Million Processes on Commodity Hardware” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254371. PMCID: PMC5596878. (Oral presentation)
  109. Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254147. PMCID: PMC5480961. (Oral presentation)
  110. Kurt G. Schilling, Vishwesh Nath, Justin Blaber, Robert L. Harrigan, Zhaohua Ding, Adam W. Anderson, Bennett A Landman. “Effects of b-Value and Number of Gradient Directions on Diffusion MRI Measures Obtained with Q-ball Imaging” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254545. PMCID: PMC5571896. (Oral presentation)
  111. Baxter P. Rogers, Justin Blaber, E. Brian Welch, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman. “Stability of Gradient Field Corrections for Quantitative Diffusion MRI” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254609. PMCID: PMC5521266.
  112. Shikha Chaganti, Kunal P. Nabar, Katrina M. Nelson, Louise A. Mawn, Bennett A. Landman. “Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254618. PMCID: PMC5521270. (Oral presentation) (Best Paper Finalist)
  113. Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew Plassard, Rob L. Harrigan, Louise A. Mawn, Bennett A. Landman. “Structural-Functional Relationships Between Eye Orbital Imaging Biomarkers and Clinical Visual Assessments” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254613. PMCID: PMC5521276. (Oral presentation)
  114. Shunxing Bao, Frederick D. Weitendorf, Andrew J. Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A. Landman. “Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine”. In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254712. PMCID: PMC5521265. (Oral presentation)
  115. Vishwesh Nath, Kurt G. Schilling, Justin Blaber, Zhaohua Ding, Adam W. Anderson, Bennett A Landman. “Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI ” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254736. PMCID: PMC5521278. (Oral presentation)
  116. Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254437. PMCID: PMC5521267. (Oral presentation)
  117. Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman. “Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254425. PMCID: PMC5544133.
  118. Andrew J. Plassard, Pierre F. D’Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman. “Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254428. PMCID: PMC5544135. (Oral presentation)
  119. Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri. “Deep Learning for Brain Tumor Classification.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. doi: 10.1117/12.2254195. (Oral presentation) (Best Paper Finalist)
  120. Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman. “Combining Multi-atlas Segmentation with Brain Surface Estimation,” In Proceedings of the SPIE Medical Imaging Conference 2016. doi: 10.1117/12.2216604. PMCID: PMC4845967. (Oral presentation)
  121. Zhoubing Xu, Rebeccah B. Baucom, Richard G. Abramson, Benjamin K. Poulose, Bennett A. Landman, “Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level Set”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2216841. PMCID: PMC4845968. (Oral presentation)
  122. Robert L. Harrigan, Alex K. Smith, Louise A. Mawn, Seth A. Smith, Bennett A. Landman. “Short Term Reproducibility of a High Contrast 3-D Isotropic Optic Nerve Imaging Sequence in Healthy Controls”. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2216834. PMCID: PMC4862660. (Oral presentation)
  123. Shikha Chaganti, Katrina Nelson, Kevin Mundy, Yifu Luo, Robert L. Harrigan, Steve Damon, Daniel Fabbri, Louise Mawn, Bennett Landman. “Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Muscles”. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2217299. PMCID: PMC4845964. (Oral presentation)
  124. Shikha Chaganti, Andrew J. Plassard, Laura Wilson, Miya A. Smith, Mayur B. Patel, Bennett A. Landman. A Bayesian Framework for Early Risk Prediction in Traumatic Brain Injury. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2217306. PMCID: PMC4845965.
  125. Andrew J. Plassard, Robert L. Harrigan, Allen T. Newton, Swati D. Rane, Srivatsan Pallavaram, Pierre F. D’Haese, Benoit M. Dawant, Daniel O. Claassen, Bennett A. Landman. “On the Fallacy of Quantitative Segmentation for T1-Weighted MRI.”  In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2216994. PMCID: PMC4845960. (Oral presentation)
  126. Zhoubing Xu, Sahil A. Panjwani, Christopher P. Lee, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman, “Evaluation of Body-Wise and Organ-Wise Registrations for Abdominal Organs”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2217082. PMCID: PMC4845963 (Oral presentation)
  127. Andrew J. Plassard, Zhen Yang, Swati D. Rane, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman. “Improving Cerebellar Segmentation with Statistical Fusion”. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2216966. PMCID: PMC4845969.
  128. Shunxing Bao, Stephen M. Damon, Bennett A. Landman, Aniruddha Gokhale. “Performance Management of High Performance Computing for Medical Image Processing in Amazon Web Services.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2217396. PMCID: PMC4845970. (Oral presentation)
  129. Yurui Gao, Prasanna Parvathaneni, Kurt G. Schilling, Zhoubing Xu, Ann S. Choe, Bennett A. Landman, Adam M. Anderson. A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. doi: 10.1117/12.2217325. PMCID: PMC4825691.
  130. Andrew J. Plassard, Bennett A. Landman. “Multi-Protocol, Multi-Atlas Statistical Fusion.” In MICCAI 2015 Workshop and Challenge: Multi-Atlas Labeling Beyond Cranial Vault. Munich, Germany, October 2015. doi: 10.1117/1.JMI.4.3.034002. PMCID: PMC5572442.
  131. Zhoubing Xu, Adam L. Gertz, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman. “Improving Multi-Atlas Abdominal Organ Segmentation via Organ-Wise Normalization.” In the proceedings of MICCAI 2015 Workshop and Challenge: Multi-Atlas Labeling Beyond Cranial Vault. Munich, Germany 2015. doi: 10.1016/j.media.2015.05.009. PMCID: PMC4532551.
  132. Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman. “Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation”, MICCAI MAPPING Workshop, Munich, Germany, October 2015. doi: 10.48550/arXiv.1806.02300.
  133. Neda Jahanshad, Peter Kochunov, Thomas E. Nichols, Emma Sprooten, René C. Mandl, Laura Almasy, Tom Booth, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Ravi Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaitre, Lorna Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright, Mark E. Bastin, Andrew M. McIntosh, Dorret I. Boomsma, René S. Kahn, Anouk den Braber, Eco J.C. de Geus, Ian J. Deary, Hilleke E. Hulshoff Pol, Douglas Williamson, John Blangero, Dennis van ’t Ent, David C. Glahn, Paul M. Thompson. “Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group”, In Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging. 1234. Beijing, China. doi:10.1109/ISBI.2014.6868099.
  134. Peizhen Sun, Prasanna Parvathaneni, Yurui Gao, Kurt G. Schilling, Vaibhav A. Janve, Adam W. Anderson, Bennett A. Landman. “Integrating histology and MRI in the first digital brain atlas of the common squirrel monkey, Saimiri sciureus.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081443. PMCID: PMC4405811.
  135. Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman. “Efficient Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081012. PMCID: PMC4405802.
  136. Christopher P. Lee, Zhoubing Xu, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman. “Evaluation of Five Image Registration Tools for Abdominal CT: Pitfalls and Opportunities with Soft Anatomy.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081045. PMCID: PMC4405654.
  137. Robert L Harrigan, Andrew J. Plassard, Louise A. Mawn, Robert L. Galloway, Seth A. Smith, Bennett A. Landman. “Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081887. PMCID: PMC4405797.
  138. Ryan P. Burke, Zhoubing Xu, Christopher P. Lee, Rebeccah Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman. “Multi-Atlas Segmentation for Abdominal Organs with Gaussian Mixture Models.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081061. PMCID: PMC4405670.
  139. Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman. “Revealing Latent Value of Clinically Acquired CTs of Traumatic Brain Injury Through Multi-Atlas Segmentation in a Retrospective Study of 1,003 with External Cross-Validation” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081329. PMCID: PMC4405676.
  140. Andrew J. Plassard, Kendra E. Hinton, Christopher Gonzalez, Vijay Venkatraman, Susan M. Resnick, Bennett A. Landman. “Evaluation of Atlas-Based White Matter Segmentation with Eve” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081613. PMCID: PMC4405655.
  141. Judah E. Sklan, Andrew J. Plassard, Daniel Fabbri, Bennett A. Landman. “Toward content based image retrieval with deep convolutional neural networks.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2015. doi: 10.1117/12.2081551. PMCID: PMC4405657.
  142. Rao, A. S., Fan, J., Brame, C. J., Landman, B. A., “Improving Conceptual Understanding of Signals and Systems in Undergraduate Engineering Students Using Collaborative In-Class Laboratory Exercises.” In American Society for Engineering Education Annual Conference & Exposition. June 2014.
  143. Datteri, R.D., Asman, A.J., Landman, B.A., Dawant, B.M., “Applying the Algorithm ‘Assessing Quality Using Image Registration Circuits’ (AQUIRC) to Multi-Atlas Segmentation.” Proc. SPIE, Medical Imaging 2014: Image Processing, February 2014.
  144. Mary Ellen Koran, Neda Jahanshad, Bo Li, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter Kochunov, Bennett A. Landman. “On study design in neuroimaging heritability analyses.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2014.
  145. Xu, B. Li, S. Panda, A. Asman, Kristen. L. Merkle, Peter L. Shanahan, Richard G. Abramson, B. Landman. “Shape-Constrained Multi-Atlas Segmentation of Spleen in CT.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2014.  doi: 10.1117/12.2043079. PMCID: PMC4013111.
  146. Yurui Gao, Shweta P. Khare, Swetasudha Panda, Ann S Choe, Iwona Stepniewska, Xia Li, Zhoahua Ding, Adam Anderson, Bennett A. Landman, “A brain MRI atlas of the common squirrel monkey, Saimiri sciureus.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2014. doi: 10.1117/12.2043589. PMCID: PMC4013108. (Oral Presentation)
  147. Swetasudha Panda, Andrew J. Asman, Michael P. DeLis, Louise A. Mawn, Robert L. Galloway, Bennett A. Landman. “Robust Optic Nerve Segmentation on Clinically Acquired CT.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2014. doi: 10.1117/1.JMI.1.3.034006. PMCID: PMC4478967. (Oral Presentation)
  148. Andrew J. Asman, Alexander S. Dagley, Bennett A. Landman. “Statistical label fusion with hierarchical performance models.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2014. doi: 10.1117/12.2043182. PMCID: PMC4013116. (Oral Presentation)
  149. Brian B. Avants, Nicholas J. Tustison, Hongzhi Wang, Andrew J. Asman, Bennett A. Landman, and the Insight Software Consortium. “Standardized Registration Methods for the SATA Challenge Datasets”. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge Workshop on Segmentation: Algorithms, Theory and Applications. 2013 Nagoya, Japan.
  150. Andrew J. Asman, Alireza Akhondi-Asl, Hongzhi Wang, Nicholas J. Tustison, Brian B. Avants, Simon K. Warfield, Bennett A. Landman. “MICCAI 2013 Segmentation Algorithms, Theory and Applications (SATA) Challenge Results Summary”. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge Workshop on Segmentation: Algorithms, Theory and Applications. 2013 Nagoya, Japan.
  151. Bo Li, Swetasudha Panda, Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, and Bennett A. Landman. “Regression forest region recognition enhances multi-atlas spleen labeling”, In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge Workshop on Segmentation: Algorithms, Theory and Applications. 2013 Nagoya, Japan. doi: 10.1117/12.2254437. PMCID: PMC5521267.
  152. Hakmook Kang, Xue Yang, Frederick W. Bryan, Christina M. Tripp, Bennett A. Landman. “Whole Brain Functional Connectivity using Multi-Scale Spatio-Spectral Random Effects Model.” In MICCAI 2013 Workshop of Multi-Modal Brain Image Analysis. LNCS 8159, p.170. Nagoya, Japan, September 2013. doi: 10.1007/978-3-319-02126-3_17. (Oral Presentation)
  153. Asman, Michael P. DeLisi, Louise A. Mawn, Robert L. Galloway, and B. Landman. “Robust Non-Local Multi-Atlas Segmentation of the Optic Nerve.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. doi: 10.1117/12.2007015. PMCID: PMC3903299. (Oral Presentation)
  154. Zhoubing Xu, Wade M. Allen, Benjamin K. Poulose, Bennett A. Landman. “Automatic Segmentation of Abdominal Wall in Ventral Hernia CT: A Pilot Study.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. doi: 10.1117/12.2007060. PMCID: PMC3877250.
  155. Andrew J. Asman, Carolyn B. Lauzon, Bennett A. Landman. “Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality Control.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. doi: 10.1117/12.2007587. PMCID: PMC3874255. (Oral Presentation)
  156. Wade M. Allen, Zhoubing Xu, Andrew J. Asman, Benjamin K. Poulose, Bennett A. Landman. “Quantitative Anatomical Labeling of the Anterior Abdominal Wall.” In Proceedings of the SPIE Medical Imaging Conference.Orlando, Florida, February 2013. doi: 10.1117/12.2007071. PMCID: PMC3903294. (Oral Presentation)
  157. Yurui Gao, Scott S. Burns, Carolyn B. Lauzon, Andrew Fong, David A. Twillie, Michael Wirt, Marc A. Zola, Bret W. Logan, Adam W. Anderson, Bennett A. Landman. “Integration of XNAT/PACS, DICOM, and Research Software for Automated Multi-modal Image Analysis.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. doi: 10.1117/12.2007621. PMCID: PMC3877247. (Oral Presentation)
  158. Qiufeng Lin, Zhoubing Xu, Rebeccah Baucom, Benjamin Poulose, Bennett A. Landman, Robert E. Bodenheimer. “Immersive Virtual Reality for Visualization of Abdominal CT.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. doi: 10.1117/12.2008050. PMCID: PMC3877248.
  159. Bennett A. Landman, Xue Yang, Hakmook Kang. “Do We Really Need Robust and Alternative Inference Methods for Brain MRI?” In MICCAI 2012 Workshop of Multi-Modal Brain Image Analysis. Nice, France, September 2012. doi: 10.1007/978-3-642-33530-3_7. (Invited Paper)
  160. Andrew J. Asman and Bennett A. Landman, “Out-of-Atlas Labeling: A Multi-Atlas Approach to Cancer Segmentation”, In Proceedings of the 2012 International Symposium on Biomedical Imaging (ISBI). Barcelona, Spain. doi: 10.1109/ISBI.2012.6235785. PMCID: PMC3892947.
  161. Zhoubing Xu, Andrew J. Asman, Eesha Singh, Lola Chambless, Reid Thompson, and Bennett A. Landman, “Collaborative Labeling of Malignant Glioma”, In Proceedings of the 2012 International Symposium on Biomedical Imaging (ISBI). Barcelona, Spain. doi: 10.1109/ISBI.2012.6235763. PMCID: PMC3897165.
  162. Asman and B. Landman. “Simultaneous Segmentation and Statistical Label Fusion.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.910794. PMCID: PMC3865243. (Oral Presentation)
  163. Xu, A. Asman and B. Landman. “Generalized Statistical Label Fusion using Multiple Consensus Levels.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.910918. PMCID: PMC3438516. (Oral Presentation)
  164. Yuan Liu, Benoit M. Dawant, Srivatsan Pallavaram, Joseph S. Neimat, Pierre-François D’Haese, Ryan D. Datteri, Bennett A. Landman and Jack H. Noble. “A Surgeon Specific Automatic Path Planning Algorithm for Deep Brain Stimulation.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.911705. (Oral Presentation)
  165. Xue Yang, Martha J. Holmes, Allen T. Newton, Victoria L. Morgan, Bennett A. Landman. “A Comparison of Distributional Considerations with Statistical Analysis of Resting State fMRI at 3T and 7T.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.911307. PMCID: PMC3460373. (Oral Presentation)
  166. Singh, Z. Xu, A. Asman, L. Chambless, R. Thompson and B. Landman. “Collaborative Labeling of Malignant Glioma with WebMILL: A First Look.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.910802. PMCID: PMC3531549.
  167. L. Esparza, E. B. Welch, B. A. Landman. “Automating PACS Quality Control with the Vanderbilt Image Processing Enterprise Resource.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.910800. PMCID: PMC3865245. (Oral Presentation)
  168. Lauzon, B. Caffo, and B. Landman. “Towards Automatic Quantitative Quality Control for MRI.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.910819. PMCID: PMC3474364. (Oral Presentation)
  169. Fangxu Xing, Andrew J. Asman, Jerry L. Prince, Bennett A. Landman. “Finding Seeds for Segmentation Using Statistical Fusion.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012. doi: 10.1117/12.911524. PMCID: PMC3457068.
  170. Datteri, A. Asman, B. Landman, and B. Dawant. “Estimation of Registration Accuracy Applied to Multi-Atlas Segmentation.” In MICCAI 2011 Workshop of Multi-Atlas Methods and Statistical Fusion. Toronto, Canada, September 2011. (Oral Presentation)
  171. Asman, Antong Chen, and B. Landman. “On the Application of Human Rater Models to Statistical Fusion in Multi-Atlas Labeling.” In MICCAI 2011 Workshop on Multi-Atlas Methods and Statistical Fusion. Toronto, Canada, September 2011. (Oral Presentation)
  172. Xue Yang, Carolyn B. Lauzon, Ciprian Crainiceanu, Brian Caffo, Susan M. Resnick, Bennett A. Landman. “Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging”, In MICCAI 2011 Workshop of Multi-Modal Brain Image Analysis. Toronto, Canada, September 2011. doi: 10.1007/978-3-642-24446-9_1. PMCID: PMC4208720. (Oral Presentation) (Best paper award)
  173. Xue Yang, Lori Beason-Held, Susan M. Resnick, Bennett A. Landman. “Robust Biological Parametric Mapping: An Improved Technique for Multimodal Brain Image Analysis”, In Proceedings of the SPIE Medical Imaging Conference. Lake Buena Vista, Florida, February 2011. doi: 10.1117/12.877593. PMCID: PMC3103184.
  174. Andrew J. Asman, Andrew G. Scoggins, Jerry L. Prince, Bennett A. Landman. “Foibles, Follies, and Fusion: Assessment of Statistical Label Fusion Techniques for Web-Based Collaborations using Minimal Training”, In Proceedings of the SPIE Medical Imaging Conference. Lake Buena Vista, Florida, February 2011. doi: 10.1117/12.877471. PMCID: PMC3083117.
  175. Joshua A. Stein, Andrew J. Asman, Bennett A. Landman. “Characterizing and Optimizing Rater Performance for Internet-based Collaborative Labeling”, In Proceedings of the SPIE Medical Imaging Conference. Lake Buena Vista, Florida, February 2011. doi: 10.1117/12.878412. PMCID: PMC3157950. (Oral Presentation)
  176. Kelsie Covington, E. Brian Welch, Bennett A. Landman. “Integrating Medical Imaging Analyses through a High-throughput Bundled Resource Imaging System”, In Proceedings of the SPIE Medical Imaging Conference. Lake Buena Vista, Florida, February 2011. doi: 10.1117/12.878371. PMCID: PMC3154704. (Oral Presentation)
  177. Fangxu Xing, Sahar Soleimanifard, Jerry L. Prince, Bennett A. Landman. “Statistical Fusion of Continuous Labels: Identification of Cardiac Landmarks”, In Proceedings of the SPIE Medical Imaging Conference. Lake Buena Vista, Florida, February 2011. doi: 10.1117/12.877884. PMCID: PMC3110005. (Oral Presentation)
  178. Fatma Elzahraa A. ElShahaby, Bennett A. Landman, and Jerry L. Prince. “Effect of Regularization Parameter and Scan Time on Crossing Fibers with Constrained Compressed Sensing”, In Proceedings of the SPIE Medical Imaging Conference. Lake Buena Vista, Florida, February 2011. doi: 10.1117/12.878382. PMCID: PMC3087384.
  179. Kelsie Covington, Evan S. McCreedy, Min Chen, Aaron Carass, Nicole Aucoin, and Bennett A. Landman. “Interfaces and Integration of Medical Image Analysis Frameworks: Challenges and Opportunities.” Biomedical Science and Engineering Conference, Oak Ridge, TN May 2010. doi: 10.1109/BSEC.2010.5510850. PMCID: PMC2998761. (Oral Presentation)
  180. B. A. Landman, H. Wan, J. Bogovic, P.-L. Bazin, and J. L. Prince. “Resolution of Crossing Fibers with Constrained Compressed Sensing using Traditional Diffusion Tensor MRI”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, CA, February 2010. doi: 10.1117/12.844171. PMCID: PMC2854412. (Oral Presentation)
  181. B. A. Landman, H. Wan, J. Bogovic, and J. L. Prince. “Simultaneous Truth and Performance Level Estimation with Incomplete, Over-complete, and Ancillary Data”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, CA, February 2010. doi: 10.1117/12.844182. PMCID: PMC2917119. (Oral Presentation)
  182. Bogovic, B. A. Landman, P.-L. Bazin, and J. L. Prince. “Statistical Fusion of Surface Labels provided by Multiple Raters, Over-complete, and Ancillary Data”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, CA, February 2010. doi: 10.1117/12.844214. PMCID: PMC2997739.
  183. B. A. Landman, J. Bogovic, and J. L. Prince. “Compressed Sensing of Multiple Intra-Voxel Orientations with Traditional DTI”, In Proceedings of the Workshop on Computational Diffusion MRI at the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, New York, NY, September 2008.
  184. B. A. Landman, P-L. Bazin, and J. L. Prince. “Tensor Interpolation by Concise Local Estimation of Anisotropy and Rotation”, In Proceedings of the Workshop on Computational Diffusion MRI at the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, New York, NY, September 2008.
  185. J. A. Bogovic, A. Carass, J. Wan, B. A. Landman, and J. L. Prince. “Automatically identifying white matter tracts using cortical labels,” In Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging, Paris, France, May 2008. doi: 10.1109/ISBI.2008.4541141. PMCID: PMC2812932.
  186. B. A. Landman, J. A.D. Farrell, S. A. Smith, P. A. Calabresi, P. C.M. van Zijl, and J. L. Prince. “Robust Maximum Likelihood Estimation in Q-space MRI”, In Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging, Paris, France, May 2008. doi: 10.1109/isbi.2008.4541134. PMCID: PMC2872926.
  187. B. A. Landman, P-L. Bazin, and J. L. Prince. “Diffusion Tensor Estimation by Maximizing Rician Likelihood”, InProceedings of the 2007 International Conference on Computer Vision Workshop on Mathematical Methods in Biomedical Image Analysis, Rio de Janeiro, Brazil, October 2007. doi: 10.1109/iccv.2007.4409140. PMCID: PMC3488430. (Oral Presentation)