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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.

Journal

  1. Kurt G Schilling, Muwei Li, Francois Rheault, Zhaohua Ding, Adam W Anderson, Hakmook Kang, Bennett A Landman, John C Gore. “Anomalous and heterogeneous characteristics of the BOLD hemodynamic response function in white matter”. Cerebral Cortex Communications 3 (3), tgac035 (2022).
  2. Kurt G Schilling, Marco Palombo, Kristin P. O’Grady, Anna J.E. Combes, Adam W Anderson, Bennett A Landman, Seth A Smith. “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”. Magnetic Resonance Imaging 94, 25-35 (2022).
  3. John P Begnoche, Kurt G Schilling, Brian D Boyd, Leon Y Cai, Warren D Taylor, Bennett A Landman. EPI susceptibility correction introduces significant differences far from local areas of high distortion. Magnetic Resonance Imaging (2022).
  4. Francois Rheault, Kurt G Schilling, Sami Obaid, John P Begnoche, Laurie E Cutting, Maxime Descoteaux, Bennett A Landman, Laurent Petit. The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow. Brain Structure and Function, 1-17. (2022)
  5. Colin B Hansen, Kurt G Schilling, Francois Rheault, Susan Resnick, Andrea T Shafer, Lori L Beason-Held, Bennett A Landman. Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRI. Magnetic Resonance Imaging 93, 73-86. (2022)
  6. Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto de Luca, Josien Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick J. Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi-Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prchkovska, Robert Jones, Julia Lehman, Suzanne N. Haber, and Anastasia Yendiki. NeuroImage 257, 119327. (2022)
  7. Kurt G Schilling, Derek Archer, Fang-Cheng Yeh, Francois Rheault, Leon Cai, Colin Hansen, Qi Yang, Karthik Ramdass, Andrea Shafer, Susan Resnick, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Angela Jefferson, Adam W Anderson, Hakmook Kang, Bennett A Landman. “Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants.” Brain Structure and Function 227 (6), 2111-2125 (2022).
  8. Kurt G. Schilling, Chantal M.W. Tax, Francois Rheault, Bennett Landman, Adam Anderson, Maxime Descoteaux*, Laurent Petit*. “Prevalence of white matter pathways coming into a single diffusion MRI voxel orientation: the bottleneck issue in tractography”. Human Brain Mapping 43(4), 1196-1213. (2022)
  9. Ahmed M Radwan, Stefan Sunaert, Kurt G Schilling, Maxime Descoteaux, Bennett A Landman, Mathieu Vandenbulcke, Tom Theys, Patrick Dupont, Louise Emsell. “An atlas of white matter anatomy, its variability, and reproducibility based on Constrained Spherical Deconvolution of diffusion MRI”. NeuroImage 254, 119019 (2022).
  10. Rheault, Francois; Schilling, Kurt G.; Valcourt-Caron, Alex; Théberge, Antoine; Poirier, Charles; Grenier, Gabrielle; Guberman, Guido; Begnoche, John; Haitz, Jon; Cai, Leon; Roy, Maggine; Edde, Manon; Caceres, Marco; Ocampo-Pineda, Mario; Al-Sharif, Noor; Karan, Phillipe; Bontempi, Pietro; Obaid, Sami; Bosticardo, Sara; Schiavi, Simona; Sairanen, Viljami; Daducci, Alessandro; Cutting, LE; Petit, Laurent; Descoteaux, Maxime; A. Landman, Bennett, Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination. Human brain mapping 43 (7), 2134-2147 (2022)
  11. Kurt G Schilling, Francois Rheault, Laurent Petit, Colin B Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi-Gomez, Marco Pizzolato, Riccardo Galbusera, Mario Ocampo-Pineda, Simona Schiavi, Erick J Canales-Rodriguez, Alessandro Daducci, Cristina Granziera, Giorgio Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B Vos, Vejay N Vakharia, John S Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Angel Pena-Melian, Fernando Calamante, Arnaud Attye, Ryan P Cabeen, Laura Korobova, Arthur W Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude Bajada, Hamied Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M.W. Tax, Ping-Hong Yeh, Rujirutana Srikanchana, Colin Mcknight, Joseph Y.M. Yang, Jian Chen, Claire E Kelly, Chun-Hung Yeh, Jerome Cochereau, Jerome J Maller, Thomas Welton, Fabien Almairac, Kiran K Seunarine, Chris A Clark, Fan Zhang, Nikos Makris, Alexandra Golby, Yogesh Rathi, Lauren J O’Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez Manzanares, Luis Concha, Ramon Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A Nair, Vivek Prabhakaran, Andrew L Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Abe Masahiro, Roza G Bayrak, Claudia AM Gandini Wheeler-Kingshott, Egidio D’Angelo, Fulvia Palesi, Giovanni Savini, Nicolo Rolandi, Pamela Guevara, Josselin Houenou, Narciso Lopez-Lopez, Jean-Francois Mangin, Cyril Poupon, Claudio Roman, Andrea Vazquez, Chiara Maffei, Mavilde Arantes, Jose Paulo Andrade, Susana Maria Silva, Rajikha Raja, Vince D Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Zhan Yang, Edith Brignoni-Perez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, Rene Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah Heilbronner, Katja Heuer, Adam W Anderson, Bennett A Landman, Maxime Descoteaux. “Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?”. NeuroImage 242, 118451 (2021)
  12. Kurt G Schilling, Chantal MW Tax, Francois Rheault, Colin B Hansen, Qi Yang, Fang-Cheng Yeh, Leon Y Cai, Adam W Anderson, Bennett A Landman “Fiber tractography bundle segmentation depends on scanner effects, acquisition, diffusion sensitization, and bundle segmentation workflow”. NeuroImage. 242, 118451 (2021).
  13. Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C Alexander, Markus Nilsson, Martijn Froeling, Geert-Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernandez, Evren Ozarslan, Derek K Jones, Haoze Chan, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sanchez, Vesna Prchkovska, Paulo Rodrigue, Bennet A Landman, Kurt G Schilling. “On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge.” NeuroImage 240, 118367. (2021)
  14. Victoria L. Morgan, Graham W Johnson, Leon Y Cai, Bennett A Landman, Kurt G Schilling, Dario J Englot, Baxter P Rogers, Catie P Chang. “MRI network progression in mesial temporal lobe epilepsy related to healthy brain architecture”. Network Neuroscience 5 (2): 434–450 (2021).

  15. Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffery Carr, James Gregory Terry, Yuankai Huo, Kim Lori Sandler, Allen T. Netwon, Bennett A. Landman. Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. Journal of Digital Imaging (2022): 1-11.

  16. Remedios, Lucas W., Sneha Lingam, Samuel W. Remedios, Riqiang Gao, Stephen W. Clark, Larry T. Davis, and Bennett A. Landman. “Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography.” Medical Physics 48, no. 10 (2021): 6060-6068.
  17. Leon Y. Cai, Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson, Jeffrey Luci, Benjamin N. Conrad, Gavin R. Price, Colin B. Hansen, Cailey I. Kerley, Karthik Ramadass, Fang-Cheng Yeh, Hakmook Kang, Eleftherios Garyfallidis, Maxime Descoteaux, Francois Rheault, Kurt G. Schilling, and Bennett A. Landman. MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging. Magnetic Resonance in Medicine, 2021
  18. Rheault, Francois*, Roza G. Bayrak*, Xuan Wang, Kurt G. Schilling, Jasmine M. Greer, Colin B. Hansen, Cailey Kerley et al. “TractEM: Evaluation of protocols for deterministic tractography white matter atlas.” Magnetic Resonance Imaging 85 (2022): 44-56. https://doi.org/10.1016/j.mri.2021.10.017
  19. Colin B. Hansen*; Qi Yang*; Ilwoo Lyu; Francois Rheault; Cailey Kerley; Bramsch Chandio; Shreyas Fadnavis; Owen Williams; Andrea Shafer; Susan Resnick; David Zald; Laurie Cutting; Warren Taylor; Brian Boyd; Eleftherios Garyfallidis; Adam Anderson; Maxime Descoteaux; Bennett Landman; Kurt Schilling. Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. Neuroinform (2020). https://doi.org/10.1007/s12021-020-09497-1
  20. Leon Y. Cai, Qi Yang, Colin B. Hansen, Vishwesh Nath, Karthik Ramadass, Graham W. Johnson, Benjamin N. Conrad, Brian D. Boyd, John P. Begnoche, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Warren D. Taylor, Gavin R. Price, Victoria L. Morgan, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman. PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images. Magnetic Resonance in Medicine, 2021.
  21. Bermudez, C., Remedios, S. W., Ramadass, K., McHugo, M., Heckers, S., Huo, Y., & Landman, B. A. (2020). Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning. Journal of Medical Imaging, 7(6), 064004.
  22. Colin B. Hansen, Baxter P. Rogers, Kurt G. Schilling, Vishwesh Nath, Justin A. Blaber, Okan Irfanoglu, Alan Barnett, Carlo Pierpaoli, Adam W. Anderson, Bennett A. Landman. “Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI.” Magnetic Resonance Imaging 2020. https://doi.org/10.1016/j.mri.2020.11.005
  23. 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.” Interpretable and Annotation-Efficient Learning for Medical Image Computing. Springer, Cham, 2020. 112-121.
  24. Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Julia Ebert, Dorit Merhof, Daniel Moyer, Maximilian Pietsch, Daan Christiaens, Rui Azeredo Gomes Teixeira, Jacques-Donald Tournier, Kurt G. Schilling, Yuankai Huo, Vishwesh Nath, Colin Hansen, Justin Blaber, Bennett A. Landman, Andrey Zhylka, Josien Pluim, Greg Parker, Umesh Rudrapatna, John Evans, Cyril Charron, Derek K. Jones, and Chantal M.W. Tax. “Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonisation: algorithms and results”. (2020) NeuroImage. 221, 117128.
  25. Ileana O. Jelescu, Marco Palombo, Francesca Bagnato, Kurt G. Schilling. “Challenges for biophysical model of microstructure”. (2020) Journal of Neuroscience Methods 108861.
  26. Kurt G Schilling, Laurent Petit, Francois Rheault, Samuel Remedios, Carlo Pierpaoli, Adam W Anderson, Bennett A Landman, Maxime Descoteaux. “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 don’t go”. Brain Struct Funct (2020). https://doi.org/10.1007/s00429-020-02129-z
  27. Kurt G Schilling*, Justin Blaber*, Colin Hansen, Baxter Rogers, Adam W Anderson, Seth A Smith, Praitayini Kanakaraj, Tonia Rex, Susan M. Resnick, Andrea T. Shafer, Laurie Cutting, Neil Woodward, David Zald, Bennett A Landman.“Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps”. PLoS ONE 15(7): e0236418. https://doi.org/10.1371/journal.pone.0236418
  28. Kurt G Schilling, Bennet A Landman. “AI in MRI: A case for grassroots deep learning.” Magnetic Resonance Imaging. doi: 10.1016/j.mri.2019.07.004. 2019.
  29. Kurt G Schilling, Samantha By, Haley Feiler, Bailey Box, Kristin P. O’Grady, Atlee Witt, Bennett A. Landman, Seth A. Smith. “Diffusion MRI microstructural models in the cervical spinal cord – application, normative values, and correlations with histological analysis”. NeuroImage. doi: 10.1016/j.neuroimage.2019.116026. 2019.
  30. Kurt G Schilling, Yuankai Huo, Allen Newton, Colin Hansen, Vishwesh Nath, Andrea T. Shafer, Owen Williams, Susan M. Resnick, Baxter Rogers, Adam W Anderson, Bennett A Landman. “Synthesized b0 for diffusion distortion correction (Synb0-DisCo).” Magnetic Resonance Imaging. 2019 May 7. pii: S0730-725X(18)30617-9. doi: 10.1016/j.mri.2019.05.008
  31. Kurt G Schilling, Yurui Gao, Iwona Stepniewska, Vaibhav Janve, Bennett A. Landman, Adam W. Anderson. “Histologically derived fiber response functions for diffusion MRI vary across white matter fibers – an ex vivo validation study in the squirrel monkey brain”. NMR in Biomedicine. 2019 Jun;32(6):e4090. doi: 10.1002/nbm.4090. Epub 2019 Mar 25.
  32. Kurt G Schilling, Fang-Cheng Yeh, Vishwesh Nath, Colin Hansen, Owen Williams, Susan Resnick, Adam W. Anderson, Bennett A. Landman. “A fiber coherence index for quality control of B-table orientation in diffusion MRI scans”. Magnetic Resonance Imaging. 2019. doi: 10.1016/j.mri.2019.01.018
  33. Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Martin A. Styner, and Bennett A. Landman. “Cortical Surface Parcellation using Spherical Convolutional Neural Networks.” Medical Image Analysis, 57, pp. 72-88, 2019
  34. Remedios, Samuel W., Snehashis Roy, Camilo Bermudez, Mayur B. Patel, John A. Butman, Bennett A. Landman, and Dzung L. Pham. “Distributed Deep Learning Across Multi‐site Datasets for Generalized CT Hemorrhage Segmentation.” Medical physics (2019).
  35. Prasanna Parvathaneni, Vishwesh Nath, Maureen McHugo, Yuankai Huo, Susan Resnick, Neil Woodward, Bennett Landman, Ilwoo Lyu. “Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks.” Journal of Neuroscience Methods, 324, 108311, 2019
  36. Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Baxter Rogers, Kurt Schilling, Vishwish Nath, Justin Blaber, Allison Hainline, Adam Anderson, Neil Woodward, Bennett Landman. “Improved Gray Matter Surface based Spatial Statistics in Neuroimaging Studies.”  Magnetic Resonance Imaging, 61, 285-295, 2019
  37. Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko. “Electronic Medical Record Context Signatures Improve Diagnostic Classification using Medical Image Computing”. IEEE Journal of Biomedical and Health Informatics. (In Press)
  38. Shikha Chaganti, Katrina Nelson, Kevin Mundy, Robert Harrigan, Robert Galloway, Louise A. Mawn, Bennett Landman, “Imaging biomarkers in thyroid eye disease and their clinical associations,” Journal of Medical Imaging. (2018), doi: 10.1117/1.JMI.5.4.044001.
  39. Kurt G Schilling, Alessandro Daducci, Klaus Maier-Hein, Cyril Poupon, Jean-Christophe Houde, Vishwesh Nath, Adam W Anderson, Bennett A Landman, Maxime Descoteaux. “Challenges in Diffusion MRI Tractography – Lessons Learned from International Benchmark Competitions”. Magnetic Resonance Imaging. 2018. doi: 10.1016/j.mri.2018.11.014
  40. Kurt G Schilling, Vishwesh Nath, Colin Hansen, Prasanna Parvathaneni, Justin Blaber, Yurui Gao, Peter Neher, Dogu Baran Aydogan, Yonggang Shi, Mario Ocampo-Pineda, Simona Schiavi, Alessandro Daducci , Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, David Romascano, Gaëtan Rensonnet, Marco Pizzolato, Alice Bates, Elda Fischi, Jean-Philippe Thiran, Erick J. Canales-Rodríguez, Chao Huang, Hongtu Zhu, Liming Zhong, Ryan Cabeen, Arthur W Toga, Francois Rheault, Guillaume Theaud, Jean-Christophe Houde, Jasmeen Sidhu, Maxime Chamberland, Carl-Fredrik Westin, Tim B. Dyrby, Ragini Verma, Yogesh Rathi, M Okan Irfanoglu, Cibu Thomas, Carlo Pierpaoli, Maxime Descoteaux, Adam W Anderson, Bennett A Landman. “Limits to the anatomical accuracy of diffusion tractography using modern approaches”. Neuroimage. 2019 Jan 15;185:1-11. doi: 10.1016/j.neuroimage.2018.10.029
  41. Kurt G. Schilling, Yurui Gao, Muwei Li, Tung-Lin Wu, Justin Blaber, Bennett A Landman, Adam W Anderson, Zhaohua Ding, John C Gore. “Functional Tractography of White Matter by High Angular Resolution Functional-correlation Imaging (HARFI)”. Magn Reson Med. 2018;00:1-14. https://doi.org/10.1002/mrm.27512.
  42. Kurt G. Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett Landman, Adam Anderson. “Anatomical Accuracy of Standard-Practice Tractography Algorithms in the Motor System – a Histological Validation in the Squirrel Monkey Brain”. Magnetic Resonance Imaging. 2018. doi: 1016/j.mri.2018.09.004
  43. Kurt G. Schilling, Yurui Gao, Vaibhav Janve, Matthew Christian, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson. “A Web-based Combined MRI-Histology Digital Atlas of the Squirrel Monkey Brain.” Neuroinformatics (2018) 1-15. doi:10.1007/s12021-018-9391-z.
  44. Kurt G Schilling, Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson. “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.
  45. Kurt G Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A Landman, Adam W Anderson. “Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?”. NMR in Biomedicine. (2017) 30(12),e3787. https://doi.org/10.1002/nbm.3787.
  46. Kurt G Schilling, Vishwesh Nath, Justin A. Blaber, Prasanna Parvathaneni, Adam W Anderson, and Bennett A. Landman “Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging”. Magnetic Resonance Imaging. (2017) 40: pp. 62-74.
  47. Kurt G Schilling, Yurui Gao, Iwona Stepniewska, Tung-Lin Wu, Feng Wang, Bennett A Landman, John C Gore, Li Min Chen, Adam W Anderson. “The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain“. Neuroinformatics. 2017. 15(4), 321-331. doi: 10.1007/s12021-017-9334-0
  48. Kurt G Schilling, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, and Adam W Anderson. “Confirmation of a Gyral Bias in Diffusion MRI Fiber Tractography”. Human Brain Mapping. 2018 Mar;39(3):1449-1466. doi: 10.1002/hbm.23936.
  49. Kurt G 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. (2016) 35: pp. 29-38.
  50. Kurt G Schilling, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Bennett A Landman, Adam W Anderson. “Comparison of 3D Orientation Distribution Functions Measured with Confocal Microscopy and Diffusion MRI”. NeuroImage. (2016) 129: pp. 185-197.
  51. Colin B. Hansen, Vishwesh Nath, Allison E. Hainline, Kurt G. Schilling, Prasanna Parvathaneni, Roza G. Bayrak, Justin A. Blaber, Okan Irfanoglu, Carlo Pierpaoli, Adam W. Anderson, Baxter P. Rogers, Bennett A. Landman. “Characterization and Correlation of Signal Drift in Diffusion Weighted MRI”. Magnetic Resonance Imaging (2018).
  52. Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo et al. “Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.” IEEE transactions on medical imaging (2018).
  53. Katherine S. Aboud, Yuankai Huo, Hakmook Kang, Ashley Ealey, Susan M. Resnick, Bennett A. Landman, and Laurie E. Cutting. “Structural covariance across the lifespan: Brain development and aging through the lens of inter‐network relationships.” Human Brain Mapping (2018).
  54. Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, and Bennett A. Landman. “SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.” IEEE transactions on medical imaging (2018).
  55. Ilwoo Lyu, Sun Hyung Kim, Neil D. Woodward, Martin A. Styner, and Bennett A. Landman. “TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction.” IEEE Transactions on Medical Imaging 37(7), pp. 1653-1663, 2018.
  56. Yuankai Huo, Justin Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera, Shikha Chaganti, Vishwesh Nath, Greer M. Jasmine, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman. “Towards Portable Large-Scale Image Processing with High-Performance Computing.” Journal of digital imaging (2018): 1-11.
  57. Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation.” IEEE Transactions on Biomedical Engineering 65, no. 2 (2018): 336-343.
  58. Victoria Villalta-Gil, Kendra E Hinton, Bennett A Landman, Benjamin C Yvernault, Scott F Perkins, Allison S Katsantonis, Courtney L Sellani, Benjamin B Lahey, David H Zald. “Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks.” NeuroImage. In Press November 2016
  59. 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. Human brain mapping 38.2 (2017): 599-616.
  60. 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. (2016) 35: pp. 29-38.
  61. Daniel Claassen, Katherine McDonell, Scott Wylie, Joseph Neimat, Manus Donahue, Peter Hedera, D. Zald, Bennett A. Landman, B.M. Dawant and Swati Rane. “Cortical Asymmetry in Parkinson’s Disease: Early Susceptibility of the Left Hemisphere.” Brain and Behavior. In press August 2016.
  62. Xu, Zhoubing; Benjamin Conrad; Rebeccah Baucom; Seth Smith; Benjamin Poulose; Landman, Bennett. “Abdomen and spinal cord segmentation with augmented active shape models.” Journal of Medical Imaging. 3(3) 036002
  63. Zhoubing Xu, Christopher P. Lee, Marc Modat, Daniel Rueckert, Sebastien Ourselin, Richard G. Abramson, Bennett A. Landman. “Evaluation of Five Registration Methods for the Human Abdomen on Clinically Acquired CT”. IEEE Transactions of Biomedical Engineering. 2016 Aug;63(8):1563-72. PMC4972188
  64. Christopher E. Gonzalez, Vijay K. Venkatraman, Yang An, Bennett A. Landman, Christos Davatzikos, Veera Venkata Ratnam Bandaru, Norman J. Haughey, Luigi Ferruci, Michelle M. Mielke, Susan M. Resnick. “Peripheral sphingolipids are associated with variation in white matter microstructure in older adults.” Neurobiology of Aging. July 2016. Volume 43, Pages 156–163
  65. Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman. “Consistent Cortical Reconstruction and Multi-atlas Brain Segmentation”. NeuroImage. Volume 138, September 2016, Pages 197–210 PMC4927397
  66. Fangxu Xing; Jerry Prince; Bennett Landman. Investigation of Bias in Continuous Medical Image Label Fusion. PLoS One. 2016 Jun 3;11(6):e0155862. PMC4892597
  67. Zhoubing Xu, Adam L. Gertz, Ryan P. Burke, Neil K. Bansal, Hakmook Kang, Bennett A. Landman, Richard G. Abramson. Improving Spleen Volume Estimation via Computer Assisted Segmentation on Clinically Acquired CT Scans. Acad Radiol. 2016 Oct;23(10):1214-20. PMC5026951
  68. Samantha By, Alex K. Smith, Lindsey M. Dethrage, Jeff Creasy, Bennett A. Landman, Siddharama Pawate, Seth A. Smith. “Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T”. Journal of Magnetic Resonance Imaging. In Press April 2016
  69. Nikita Lakomkin, Hakmook Kang, Bennett Landman, Michael Shane Hutson, Richard G. Abramson. “The attenuation distribution across the long axis (ADLA): Preliminary findings for assessing response to cancer treatment.” Acad Radiol. 2016 Jun;23(6):718-23.
  70. Joshua N. Herb, Swati Rane, David A. Isaacs, Nelleke Van Wouwe, Olivia C. Roman, Bennett A. Landman, Benoit M. Dawant, Peter Hedera, David H. Zald, Joseph S. Neimat, Scott A. Wylie, Manus J. Donahue, Daniel O. Claassen, “Cortical Implications of Advancing Age and Disease Duration in Parkinson’s Disease Patients with Postural Instability and Gait Dysfunction.” Journal of Parkinson’s Disease. vol. 6, no. 2, pp. 441-451, 2016
  71. Qu Tian, Susan M. Resnick, Bennett A. Landman, Yuankai Huo, Vijay K. Venkatraman, Christopher E. Gonzalez, Eleanor M. Simonsick, Michelle D. Shardell, Luigi Ferrucci, Stephanie A. Studenski “Lower gray matter integrity is associated with greater lap time variation in high-functioning older adults.” Experimental Gerontology. 2016. 2016 May;77:46-51 PMC4808385
  72. K. Schilling, V. Janve, Y. Gao, I. Stepniewska, B.A. Landman, A.W. Anderson, Comparison of 3D Orientation Distribution Functions Measured with Confocal Microscopy and Diffusion MRI. NeuroImage. 2016. Apr 1;129:185-97. PMC4803575
  73. S. Damon, S. Panjwani, S. Bao, P. Kochunov, B. Landman, Integration of the Java Image Science Toolkit with E-Science Platform. 2016. InSight Journal. #963
  74. Zhoubing Xu, Andrew J. Asman, Rebeccah Baucom, Richard G Abramson, Benjamin K. Poulose, and Bennett A. Landman. “Quantitative CT Imaging of Ventral Hernias: Preliminary Validation of an Anatomical Labeling Protocol.” PLoS ONE. 2015 Oct 28;10(10):e0141671.
  75. Qu Tian, Luigi Ferrucci, Susan Resnick, Eleanor Simonsick, Michelle Shardell, Christopher Gonzalez, Bennett Landman, Vijay Venkatraman, Stephanie Studenski. “The Effect of Age and Microstructural White Matter Integrity on Lap Time Variation and Fast-Paced Walking Speed”, Brain Imaging and Behavior. Brain Imaging Behav. 2016 Sep;10(3):697-706. PMC4805500
  76. Andrew J. Asman, Yuankai Huo, Andrew J. Plassard, and Bennett A. Landman, “Multi-atlas Learner Fusion: An efficient segmentation approach for large-scale data”, Medical Image Analysis (MedIA), 2015 Dec;26(1):82-91. †
  77. DO Claassen, DG Dobolyi, DA Isaacs, OC Roman, J Herb, SA Wylie, JS Neimat, MJ Donahue, P. Hedera, DH Zald, BA Landman, AB Bowman, BM Dawant, S Rane, “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. PMC4898918
  78. Vijay K Venkatraman, Christopher Gonzalez, Bennett Landman, Joshua Goh, David Reiter, Yang An, Luigi Ferrucci, Susan M. Resnick. “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. †
  79. Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman. “Efficient Multi-Atlas Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning.” Medical Image Analysis. In press May 2015. †
  80. Robert L. Harrigan, Benjamin C. Yvernault, Brian D. Boyd, Stephen M. Damon, Kyla David Gibney, Benjamin N. Conrad, Nicholas S. Phillips, Baxter P. Rogers, Yurui Gao, Bennett A. Landman “Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment” Neuroimage, 2014. In press May 2015†
  81. Jitka Sojkova, Joshua Goh, Murat Bilgel, Bennett Landman, Xue Yang, Yun Zhou, Yang An, Lori L. Beason-Held, Michael A. Kraut, Dean F. Wong, Susan M. Resnick. “Voxel-wise relationships between Distribution Volume Ratio and cerebral blood flow: implications for interpretation of β-amyloid images.” J Nucl Medicine. In press April 2015. †
  82. Robert L. Harrigan, Andrew J. Plassard, Frederick W. Bryan, Gabriela Caires, Louise A. Mawn, Lindsey M. Dethrage, Siddharama Pawate, Robert L. Galloway, Seth A. Smith, Bennett A. Landman. “Disambiguating the Optic Nerve from the Surrounding Cerebrospinal Fluid: Application to MS-related Atrophy.” Magnetic Resonance in Medicine. In press 2014. †
  83. Robert Harrigan, Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Benjamin C. W. Yvernault, Seth A. Smith, Robert L. Galloway, Louise A. Mawn, Bennett A. Landman “Robust Optic Nerve Segmentation on Clinically Acquired CT.” Journal of Medical Imaging. 1(3), 034006 (Dec 17, 2014). † PMC3903299
    We optimize registration and fusion methods for a new multi-atlas framework for automated segmentation of the optic nerves, eye globes and muscles on clinically acquired CT data. We evaluate the robustness of the approach by segmenting the optic nerve structure in 501 clinically acquired CT scan volumes obtained from 183 subjects from a thyroid eye disease patient population.
  84. Andrew J. Asman and Bennett Landman, “Hierarchical Performance Estimation in the Statistical Label Fusion Framework.” Medical Image Analysis (MedIA). Med Image Anal. 2014 Oct;18(7):1070-81. † PMC4391396
  85. Kochunov, P., Jahanshad, N., Sprooten, E., Nichols, T.E., Mandl, R.C., Almasy, L., Booth, T., Brouwer, R.M., Curran, J.E., de Zubicaray, G.I., Dimitrova, R., Duggirala, R., Fox, P.T., Hong, L.E., Landman, B.A., Lemaitre, H., Lopez, L.M., Martin, N.G., McMahon, K.L., Mitchell, B.D., Olvera, R.L., Peterson, C.P., Starr, J.M., Sussmann, J.E., Toga, A.W., Wardlaw, J.M., Wright, M.J., Wright, S.N., Bastin, M.E., McIntosh, A.M., Boomsma, D.I., Kahn, R.S., den Braber, A., de Geus, E.J., Deary, I.J., Hulshoff Pol, H.E., Williamson, D.E., Blangero, J., van ‘t Ent, D., Thompson, P.M., Glahn, D.C.: Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. NeuroImage 95, 136-150 (2014)
  86. Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter Kochunov, Bennett A. Landman, “The impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using SOLAR”. Journal of Medical Imaging, 2014 Jun 27;1(1):014005† PMC4281883
  87. Swetasudha Panda, Andrew J Asman, Shweta P Khare, Lindsey Thompson, Louise A Mawn, Seth A Smith, Bennett A Landman. “Evaluation of Multi-Atlas Label Fusion for Orbital Segmentation on In Vivo MRI.” Journal of Medical Imaging. 1(2), 024002 (Jul–Sep 2014) † PMC4280790
  88. Rueben Banalagay, Kelsie J. Covington, D.Mitch Wilkes, Bennett A. Landman. “Resource Estimation in High Performance Medical Image Computing.” Neuroinformatics. 2014 Oct;12(4):563-73. † PMC4381797
  89.  Yuan Liu, Peter E. Konrad, Joseph S. Neimat, Stephen B. Tatter, Hong Yu, Ryan D. Datteri, Bennett A. Landman, Jack H. Noble, Srivatsan Pallavaram, Benoit M. Dawant, and Pierre-François D’Haese, “Multi-Surgeon, Multi-Site Validation of a Trajectory Planning Algorithm for Deep Brain Stimulation Procedures.” IEEE Transactions on Biomedical Engineering. 2014 Sep;61(9):2479-87. † PMC4142093
  90. Benjamin C. Yvernault, Charles D. Theobald, Jr., Jolinda C. Smith, Victoria Villalta, David H. Zald, Bennett A. Landman. “Validating DICOM transcoding with an open multi-format resource.” Neuroinformatics. 2014 Oct;12(4):615-7. † PMC4391369
  91. Andrew J. Asman, Frederick W. Bryan, Seth A. Smith, Daniel S. Reich, Bennett A. Landman. “Groupwise Multi-Atlas Segmentation of the Spinal Cord’s Internal Structure.” Medical Image Analysis (MedIA). 2014 Feb 5;18(3):460-471. PMC24556080†
    . We present a novel slice-based groupwise registration framework for robustly segmenting cervical spinal cord MRI. Specifically, we provide a method for (1) pre-aligning the slice-based atlases into a groupwise-consistent space, (2) constructing a model of spinal cord variability, (3) projecting the target slice into the low-dimensional space using a model-specific registration cost function, and (4) estimating robust segmentation using geodesically appropriate atlas information. This is the first presentation of an automated algorithm to segment the spinal cord’s internal structure on MRI.
  92. Frederick W. Bryan, Zhoubing Xu, Andrew J. Asman, Wade M. Allen, Daniel S. Reich, and Bennett A. Landman. “Self-Assessed Performance Improves Statistical Fusion of Image Labels.” Medical Physics. 2014 Mar;41(3):031903. PMC24593721†
  93.  Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman, “Evaluation of Statistical Inference on Empirical Resting State fMRI.” IEEE Transactions on Biomedical Engineering. IEEE Trans Biomed Eng. 2014 Apr;61(4):1091-9. PMC24658234†
  94.  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 and Behavior. 2014 Jun;8(2):153-82† PMC4008818
  95.  Zhoubing Xu, Wade M. Allen, Rebeccah B. Baucom, Benjamin K. Poulose, Bennett A. Landman. “Texture Analysis Improves Level Set Segmentation of the Anterior Abdominal Wall.” Medical Physics. 2013 Dec;40(12):121901. † PMC3838426
  96. P. Kochunov, J. Charlesworth, A. Winkler, LE Hong, T. Nichols, JE Curran, E Sprooten, N Jahanshad, PM Thompson, MP Johnson, JW Kent Jr., BA Landman, B. Mitchell, SA Cole, TD Dyer, EK Moses, H. Goring, L. Almasy, R. Duggirala, RL Olvera, D Glahn and J Blangero. Transcriptomics of cortical gray matter thickness decline during aging. NeuroImage. Volume 82, 15 November 2013, Pages 273–283. † PMC3759649
  97. Neda Jahanshad, Peter Kochunov, Emma Sprooten, René C. Mandl, Thomas E. Nichols, Thomas Booth, John Blangero, Greig I. de Zubicaray, Narelle K. Hansell, Elliot L. Hong, Bennett A. Landman, Nicholas G. Martin, Katie L. McMahon, Sarah E. Medland, Braxton D. Mitchell, Charles P. Peterson, John M. Star, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson, and David C. Glahn. “Multi-Site Genetic Analysis of Diffusion Images and Voxelwise Heritability Analysis: A Pilot Project of the ENIGMA–DTI Working Group.” NeuroImage. 2013 Nov 1;81:455-69. † PMC3729717
  98. Carolyn B. Lauzon, Andrew J. Asman, Michael L. Esparza, Scott S. Burns, Qiuyun Fan, Yurui Gao, Adam W. Anderson, Nicole Davis, Laurie E. Cutting, Bennett A. Landman. “Simultaneous Analysis and Quality Assurance for Diffusion Tensor Imaging.” PLoS ONE. 2013 Apr 30;8(4) PMC23637895 †
  99. Andrew J. Asman, Lola Chambless, Reid Thompson, and Bennett A. Landman. “Out-of-Atlas Likelihood Estimation using Multi-Atlas Segmentation.” Medical Physics. 2013 Apr;40(4) PMC23556928 †
  100. Carolyn B. Lauzon and Bennett A. Landman, “Correcting Power and p-Value Calculations for Bias in Diffusion Tensor Imaging.” Magnetic Resonance Imaging. 2013 Mar 2. pii: S0730-725X(13) PMC23465764 †
  101. Carolyn B. Lauzon, Ciprian Crainiceanu, Brian C. Caffo, Bennett A. Landman, “Assessment of Bias in MRI Diffusion Tensor Imaging Parameters Using SIMEX”, Magnetic Resonance in Medicine. 2013 Mar 1;69(3):891-902. PMC22611000 †
  102. Martha J. Holmes, Zhaohua Ding, Xue Yang, Bennett A. Landman, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, Victoria L. Morgan. “Functional networks in temporal lobe epilepsy: a voxel-wise study of resting state functional connectivity and gray matter concentration.” Brain Connectivity. 2013;3(1):22-30 PMC23150897 †
  103. Andrew J. Asman and Bennett A. Landman. “Non-Local Statistical Label Fusion for Multi-Atlas Segmentation.” Medical Image Analysis (MEDIA). 2013. 17(2):194-208. PMC23265798 †
  104. John A. Bogovic, Bruno Jedynak, Rachel Rigg, Annie Du, Bennett A. Landman, Jerry L. Prince, and Sarah H. Ying. “Approaching Expert Results Using a Hierarchical Cerebellum Parcellation Protocol for Multiple Inexpert Human Raters.” Neuroimage. 2013 Jan 1;64:616-29. PMC22975160 †
  105. Bennett A. Landman, John A. Bogovic, Aaron Carass, Min Chen, Snehashis Roy, Navid Shiee, Zhen Yang, Bhaskar Kishore, Dzung Pham, Pierre-Louis Bazin, Susan M. Resnick, and Jerry L. Prince. “System for Integrated Neuroimaging Analysis and Processing of Structure.” Neuroinformatics. 2013 Jan;11(1):91-10 PMC22932976 †
  106.  Zhoubing Xu, Andrew J. Asman, Eesha Singh, Lola Chambless, Reid Thompson, Bennett A. Landman. “Segmentation of Malignant Gliomas through Remote Collaboration and Statistical Fusion.” Medical Physics. 2012 Oct;39(10):5981-9 PMC3461053 †
  107.  Xue Yang, Carolyn B. Lauzon, Ciprian Crainiceanu, Brian Caffo, Susan M. Resnick, Bennett A. Landman. “Biological Parametric Mapping Accounting for Random Regressors with Regression Calibration and Model II Regression.” NeuroImage. 2012 Sep;62(3):1761-8. PMC22609453 †
  108. Bo Li, Frederick Bryan, Bennett A. Landman, “Next Generation of the JAVA Image Science Toolkit (JIST) Visualization and Validation.” Insight Journal. August 2012. P 874 † PMC4181667
  109. Andrew J. Asman and Bennett A. Landman, “Formulating Spatially Varying Performance in the Statistical Fusion Framework”, IEEE Transactions on Medical Imaging. 2012 Jun;31(6):1326-36. PMC3368083 †
  110. LL Beason-Held, M Thambisetty, G Deib, J Sojkova, BA Landman, AB Zonderman, L Ferrucci, MA Kraut, SM Resnick. “Baseline Cardiovascular Risk Predicts Subsequent Changes in Resting Brain Function.” Stroke. 2012 Jun;43(6):1542-7. PMC22492519 †
  111. William R. Gray, John A. Bogovic, Joshua T. Vogelstein, Bennett A. Landman, Jerry L. Prince, and R. Jacob Vogelstein. “Magnetic Resonance Connectome Automated Pipeline”. IEEE Engineering in Medicine and Biology Pulse. 2012 Mar;3(2):42-8. PMID22481745 †
  112.  Chang H. Jung, Soo I. Choi, Annie X. Du, Jennifer L. Cuzzocreo, Bennett A. Landman, Susan L. Perlman, Robert W Baloh, David S Zee, Arthur W Toga, Jerry L. Prince, and Sarah H. Ying. “MRI shows lobule-specific susceptibility to degeneration in spinocerebellar ataxia type 2”. Cerebellum. 2012 Mar;11(1):272-9. PMC3785794†
  113. Bennett A. Landman, John A Bogovic; Hanlin Wan; Fatma El Zahraa ElShahaby; Pierre-Louis Bazin, and Jerry L Prince. “Resolution of Crossing Fibers with Constrained Compressed Sensing using Diffusion Tensor MRI”, NeuroImage. 2012 Feb 1;59(3):2175-86. PMC22019877 †
  114. Bennett A. Landman, Andrew J. Asman, Drew Scoggins, John A. Bogovic, Fangxu Xing, and Jerry L. Prince. “Robust Statistical Fusion of Image Labels”, IEEE Transactions on Medical Imaging. 2012 Feb;31(2):512-22. PMC3262958 †
  115. Bennett A Landman, Andrew J Asman, Andrew G Scoggins, John A Bogovic, Joshua A Stein; Jerry L Prince, “Foibles, Follies, and Fusion: Web-Based Collaboration for Medical Image Labeling”, NeuroImage. 2012 Jan 2;59(1):530-9. PMC3195954 †
  116. Andrew J. Asman and Bennett A. Landman. “Robust Statistical Label Fusion through Consensus Level, Labeler Accuracy and Truth Estimation (COLLATE)”, IEEE Transactions on Medical Imaging. 2011 October; 30(10): 1779–1794. PMC3150602 †
  117. A. N. Dula, Elizabeth M. Asche, B. A. Landman, E. B. Welch, S. Pawate, S. Sriram, J. C. Gore, and S. A. Smith, “Development of Chemical Exchange Saturation Transfer (CEST) at 7T: Application to Multiple Sclerosis”, Magnetic Resonance in Medicine, 2011 September; 66(3): 831–838. PMC3156337 †
  118. Xue Yang, Lori Beason-Held, Susan M Resnick, Bennett A Landman. “Biological Parametric Mapping with Robust and Non-Parametric Statistics”, NeuroImage 57 (2011) Jul 423–430 PMC3114289†
  119. Hao Huang, Jerry L. Prince, Aaron Carass, Virendra Mishra, Bennett Landman, Denise C. Park, Carol Tamming, Richard King, Michael I. Miller, Peter C.M. van Zijl, and Susumu Mori, “A framework on surface-based connectivity quantification for the human brain”, Journal of Neuroscience Methods, Volume 197, Issue 2, 30 April 2011, Pages 324-332 PMC3081907
  120.  Bennett A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim, Jonathan A.D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel, Susumu Mori, James J. Pekar, Peter B. Barker, Jerry L. Prince, and Peter C.M. van Zijl. “Multi-Parametric Neuroimaging Reproducibility: A 3T Resource Study”, NeuroImage. Volume 54, Feb, Issue 4, 14, Pages 2854-2866 (2011) PMC3020263 †
  121. Annie X. Du, Bennett A. Landman, David S. Zee, Susumu Mori, Jerry L. Prince, and Sarah H. Ying. “Diffusion Tensor Imaging Reveals Disease-Specific Dentate Nucleus Changes in Cerebellar Degeneration”. Journal of Neurology. 257(8): 1406–1408 (2010). PMC2963035
  122. Jonathan A.D. Farrell, Jiangyang Zhang, Melina Jones, Cynthia A. DeBoy, Paul N. Hofman, Xueliang Fan, Bennett A. Landman, Seth A. Smith, Daniel S. Reich, Peter A. Calabresi, and Peter C.M. van Zijl. “Q-space and Conventional Diffusion Imaging of Axon and Myelin Damage in the Rat Spinal Cord after Axotomy”. Magnetic Resonance in Medicine. 63 (5):1323-1335 (2010) PMC2862595
  123. . B. A. Landman, J. A.D. Farrell, S. A. Smith, D. Reich, P. Calabresi, and P. C.M. van Zijl, “Complex Geometric Models of Diffusion and Relaxation in Healthy and Damaged White Matter”, NMR in Biomed, Volume 23 Issue 2, Pages 152 – 162. (2010). PMC2838925 †
  124. Seth A. Smith, Craig K. Jones, Aliya Gifford, Visar Belegu, BettyAnn Chodkowski, Jonathan A.D. Farrell, Bennett A. Landman, Daniel S. Reich, Peter A. Calabresi, John W. McDonald, Peter C.M. van Zijl, “Reproducibility of Tract-specific Magnetization Transfer and Diffusion Tensor Imaging in the Cervical Spinal Cord at 3 Tesla”, NMR in Biomed, 2010 Feb;23(2):207-17. PMC2830283
  125. Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Loius Bazin, Jerry L. Prince, and Bennett A. Landman, “The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software”, Neuroinformatics. 8(1):5-17.(2010) PMC2860951
  126. Sarah Hung Ying, Bennett A Landman, Shwetadwip Chowdhury, Alexander H Sinofsky, Anna Gambini, Susumu Mori, David S Zee, and Jerry L Prince. “Orthogonal diffusion-weighted MRI measures distinguish region-specific degeneration in cerebellar ataxia subtypes”. Journal of Neurology. 256(11): 1432-1459. (2009). PMC2789274
  127. B. A. Landman, P-L Bazin, S. A. Smith, and J. L. Prince, “Robust Estimation of Spatially Variable Noise Fields”, Magnetic Resonance in Medicine, Aug;62(2):500-9. 2009 PMC2806192
  128.  B. A. Landman, P-L Bazin, and J. L. Prince, “Estimation and Application of Spatially Variable Noise Fields in Diffusion Tensor Imaging”, Magnetic Resonance Imaging, Volume 27, Issue 6, Pages 741-751. (2009) PMC2733233
  129. M. Kim, J. Gillen, B. A. Landman, J. Zhou, and P. C.M. van Zijl, “WAter Saturation Shift Referencing (WASSR) for chemical exchange saturation transfer experiments,” Magnetic Resonance in Medicine, Jun;61(6):1441-50. 2009. PMC2860191
  130. H. Shinagawa, E.Z. Murano, J. Zhuo, B. Landman, R.P. Gullapalli, J.L. Prince, and M. Stone. “Effect of oral appliances on genioglossus muscle tonicity seen with diffusion tensor imaging: A pilot study”, Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology. 107(3):e57-63. 2009. PMC2925838
  131. B. A. Landman, J. Farrell, H. Huang, J. Prince, and S. Mori. “Diffusion Tensor Imaging at Low SNR: Non-monotonic behaviors of tensor contrasts”, Magnetic Resonance Imaging. 26(6):790-800. July 2008 PMC2583784
  132. . A. Ozturk, A.D. Sasson, J.A.D. Farrell, B. A. Landman, A. C. B. S. da Motta, A. Aralasmak, and D. M. Yousem. “Regional Differences in Diffusion Tensor Imaging Measurements: Assessment of Intra-Rater and Inter-Rater Variability”, American Journal of Neuroradiology. 29:1124-1127, June 2008. PMID18356471
  133.  H. Shinagawa, E.Z. Murano, J. Zhuo, B. Landman, R.P. Gullapalli, J.L. Prince, and M. Stone. “Tongue muscle fiber tracking during rest and tongue protrusion with oral appliance: A preliminary study with diffusion tensor imaging”, Acoustical Science and Technology. Vol. 29, No. 4 pp.291-294. 2008 PMC2925838
  134. B. A. Landman, J. A. Farrell, C. K. Jones, S. A. Smith, J. L. Prince, P. C. van Zijl, and S. Mori. “Effects of Diffusion Weighting Schemes on the Reproducibility of DTI-derived Fractional Anisotropy, Mean Diffusivity, and Principal Eigenvector Measurements at 1.5T”, NeuroImage. 36(4): 1123-1138. July 2007. PMID17532649
  135. J. A. Farrell, B. A. Landman, C. K. Jones, S. A. Smith, J. L. Prince, P. C. van Zijl, and S. Mori. “Effects of SNR on the Accuracy and Reproducibility of DTI-derived Fractional Anisotropy, Mean Diffusivity, and Principal Eigenvector Measurements at 1.5T”, Journal of Magnetic Resonance Imaging. 26(3): 756-767. August 2007. PMC2862967
  136. G. Fein, B. Landman, H. Tran, S. McGillivray, P. Finn, J. Barakos, and K. Moon. “Brain Atrophy in Long-Term Abstinent Alcoholics Who Demonstrate Impairment on a Simulated Gambling Task Corresponding”. NeuroImage. 32(3):1465-71. September 2006. PMC1868686
  137. G. Fein, B. Landman, H. Tran, J. Barakos, K. Moon, V. Di Sclafani, and R. Shumway. “Statistical Parametric Mapping of Brain Morphology: Sensitivity is Dramatically Increased by Using Brain-Extracted Images as Inputs”. NeuroImage. 30(4):1187-95. May 2006. PMC1987363
  138. C. Harper, I. Matsumoto, A. Pfefferbaum, E. Adalsteinsson, E. Sullivan, J. Lewohl, P. Dodd, M. Taylor, G. Fein, and B. Landman. “The Pathophysiology of ‘Brain Shrinkage’ in Alcoholics – Structural and Molecular Changes and Clinical Implications”, Alcoholism: Clinical & Experimental Research. 29(6):1106-1115. June 2005.
  139. G. Fein, and B. Landman. “Treated and treatment-naive alcoholics come from different populations”. Alcohol. 35(1):19-26. June 2005. PMC1868689
  140. G. Fein, V. Di Sclafani, C. Taylor, K. Moon, J. Barakos, H. Tran, B. Landman, and R. Shumway. “Controlling for premorbid brain size in imaging studies: T1-derived cranium scaling factor vs. T2-derived intracranial vault volume”. Psychiatry Research: Neuroimaging. 131(2):169-76. July 2004. PMID15313523

Highly Selective Conference (full manuscripts)

  1. Vishwesh Nath, Ilwoo Lyu, Kurt Schilling, Prasanna Parvathaneni, Colin Hansen, Yuankai Huo, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Adam Anderson, Bennett Landman. “Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.” In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS11766, pp. 573-581, Shenzhen, China, 2019.
  2. Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil Woodward, Daniel Claassen, Carissa Cascio, David Zald, Yuankai Huo, Bennett Landman, Ilwoo Lyu. “Cortical Surface Parcellation using Spherical Convolutional Neural Networks.” In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS11766, pp. 501-509, Shenzhen, China, 2019.
  3. Ilwoo Lyu, Martin Styner, and Bennett Landman “Hierarchical Spherical Deformation for Shape Correspondence.” In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS11070, pp. 853-861, Granada, Spain, 2018. Oral Presentation
  4. Xu, Zhoubing, Yuankai Huo, JinHyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic, and Shaohua Zhou. “Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.” In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018.
  5. Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, and Bennett A. Landman. “Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.” In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018.
  6. Parvathaneni, Prasanna, Baxter P. Rogers, Yuankai Huo, Kurt G. Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, and Bennett A. Landman. “Gray Matter Surface based Spatial Statistics (GS-BSS) in Diffusion Microstructure.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 638-646. Springer, Cham, 2017.
  7. Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha Gokhale. “Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service.” IEEE International Conference on Cloud Engineering (IC2E), Vancouver, Canada, April 2017.
  8. Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman. “Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI”. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016. Oral Presentation.
  9. Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman. “SIMPLE Is a Good Idea (and Better with Context Learning)”, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, MA, September 2014.
  10. Andrew J. Asman, Seth A. Smith, Daniel Reich, and Bennett A. Landman. “Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-Local Statistical Fusion”, In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2013 Nagoya, Japan
  11. Andrew Asman and Bennett A. Landman. “Non-Local STAPLE: An Intensity-Driven Multi-Atlas Rater Model”, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, September 2012 (32% acceptance rate) NIHMSID # 382406
  12. Xue Yang and Bennett A. Landman. “Quantitative Evaluation of Statistical Inference in Resting State Functional MRI”, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, September 2012 (32% acceptance rate) NIHMSID # 383590
  13. Andrew J. Asman and Bennett A. Landman. “Characterizing Spatially Varying Performance to Improve Multi-Atlas Multi-Label Segmentation”, In Proceedings of the 2011 International Conference on Information Processing in Medical Imaging (IPMI), Irsee, Bavaria, July 2011 (Oral presentation) (28% acceptance rate) PMC3140117
  14. Carolyn B. Lauzon, Andrew Asman, Ciprian Crainiceanu, Brian Caffo, Bennett A. Landman. “Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX”, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September 2011 (30% acceptance rate) NIHMS ID 301343

Conference Publications (full manuscripts)

  1. 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. (2023) Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. SPIE Medical Imaging. San Diego, CA.
  2. 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. San Diego, CA.
  3. 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 2023.
  4. Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling and Bennett A. Landman. Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation. SPIE Medical Imaging 2022.
  5. Xu, K., Gao, R., Tang, Y., Deppen, S., Sandler, K., Kammer, M., Antic, S., Maldonado, F., Huo, Y., Khan, M., & Landman, B. A. (2022). Extending the value of routine lung screening CT with quantitative body composition assessment. SPIE Medical Imaging. San Diego, CA.
  6. Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman (2022). Efficient Quality Control with Mixed CT and CTA Datasets. SPIE Medical Imaging. San Diego, CA.
  7. 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, and Bennett A. Landman (2022). Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer’s disease. SPIE Medical Imaging. San Diego, CA.
  8. 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, and Bennett A. Landman (2022). Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. SPIE Medical Imaging. San Diego, CA.
  9. Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex. Joint analysis of connectivity and cortical surface features: correlates with mild traumatic brain injury. SPIE Medical Imaging, 2021
  10. 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.
  11. 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.
  12. Chang Yu, Yue Liu, Leon Cai, Cailey Kerley, Kaiwen Xu, Katherine Aboud, Warren Taylor, Hakmook Kang, Andrea Shafer, Lori Beason-Held, Susan Resnick, Bennett Landman, Ilwoo Lyu. “Validation of group-wise registration for surface-based functional MRI analysis”. SPIE Medical Imaging 2021.
  13. Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob Miller, Willa Voorhies, Jewelia Yao, Silvia Bunge, Kevin Weiner, Bennett Landman, Ilwoo Lyu. “Automatic Labeling of Cortical Sulci using Convolutional Neural Networks in a Developmental Cohort”. IEEE International Symposium on Biomedical Imaging (ISBI) 2020, IEEE, 412-415, Iowa City, Iowa, USA, 2020.
  14. 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 Medical Imaging: Image Processing 2020. Houston, TX.
  15. Bermudez, C., Blaber, J., Remedios, S.W., Reynolds, J.E., Lebel, C., McHugo, M., Heckers, S., Huo, Y., Landman, B.A. Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Constrast MRI with Augmented Transfer Learning. SPIE Medical Imaging: Image Processing 2020. Houston, TX.
  16. 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 Medical Imaging: Image Processing 2020. Houston, TX.
  17. Kerley, C. I., Schilling, K. G., Blaber, J., Miller, B., Newton, A., Anderson, A. W., Landman, B. A., Rex, T. S. “MRI correlates of chronic symptoms in mild traumatic brain injury.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2020. Houston, TX.
  18. 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”,  SPIE Medical Imaging, San Diego, CA, 2019.
  19. 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 Estimaors”,  SPIE Medical Imaging, San Diego, CA, 2019
  20. K. 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” ISBI 2019, Venice, Italy.
  21. Bermudez, C., Plassard, A. J., Davis, L. T., Newton, A. T., Resnick, S. M., & Landman, B. A. (2018, March). Learning implicit brain MRI manifolds with deep learning. In Medical Imaging 2018: Image Processing (Vol. 10574, p. 105741L). International Society for Optics and Photonics.
  22. Shikha Chaganti, and Bennett A. Landman. “Quadratic: quality of dice in registration circuits.” Medical Imaging 2018: Image Processing. Vol. 10574. International Society for Optics and Photonics, 2018.
  23. Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, and Bennett A. Landman. “Improved stability of whole brain surface parcellation with multi-atlas segmentation.” In Medical Imaging 2018: Image Processing, vol. 10574, p. 1057438. International Society for Optics and Photonics, 2018.
  24. Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.” In Medical Imaging 2018: Image Processing, vol. 10574, p. 1057409. International Society for Optics and Photonics, 2018.
  25. 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.
  26. Ilwoo Lyu, Hakmook Kang, Neil Woodward, Bennett Landman. “Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups.” In Medical Imaging 2018: Image Processing, vol. 10574, p. 1057402. International Society for Optics and Photonics, 2018.
  27. Sandra González-Villà, Yuankai Huo, Arnau Oliver, Xavier Lladó, and Bennett A. Landman. “Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis.” In International Workshop on Patch-based Techniques in Medical Imaging, pp. 104-113. Springer, Cham, 2018.
  28. Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Adversarial synthesis learning enables segmentation without target modality ground truth.” In Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, pp. 1217-1220. IEEE, 2018.
  29. 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.” SPIE 2018
  30. Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman. “Improved Stability of Whole Brain Surface Parcellation with Multi-atlas Segmentation.” SPIE 2018
  31. Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett Landman, and Smita De. “Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.” In Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, pp. 99-107. Springer, Cham, 2017. Oral Presentation
  32. Yuankai Huo, Susan M. Resnick, and Bennett A. Landman. “4D Multi-atlas Label Fusion using Longitudinal Images.” In International Workshop on Patch-based Techniques in Medical Imaging, pp. 3-11. Springer, Cham, 2017.
  33.  Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas Lasko, Louise A. Mawn, and Bennett A. Landman. “EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function.” In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp. 373-381. Springer, Cham, 2017.
  34. 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. Oral presentation.
  35. 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. Oral presentation.
  36. 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. Oral presentation.
  37. 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. Oral presentation.
  38. 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.
  39. 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. Oral presentation.
  40. 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. Oral presentation.
  41. 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”. Orlando, Florida, February 2017. Oral presentation.
  42. 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. Oral presentation.
  43. 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. Oral presentation.
  44. 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.
  45. 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. Oral presentation.
  46. 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. Oral presentation.
  47. Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman.2016 “Combining Multi-atlas Segmentation with Brain Surface Estimation,” In Proceedings of the SPIE Medical Imaging Conference 2016. Oral presentation.
  48. 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.  Oral presentation.
  49. 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. Oral presentation.
  50. 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. Oral presentation.
  51. 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.
  52. 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. “One the Fallacy of Quantitative Segmentation for T1-Weighted MRI.”  In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Oral presentation.
  53. 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. Oral presentation.
  54. 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.
  55. 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. Oral presentation.
  56. 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.
  57. 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
  58. 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.
  59. 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.
  60. 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. Beijing, China. Pg. 1234†
  61. 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. †
  62. 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. †
  63. 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. †
  64. 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. †
  65. 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.
  66. 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. †
  67. 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. †
  68. 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. †
  69. 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†
  70. 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. †
  71. 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†
  72. Z. 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†
  73. 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. Oral Presentation. †
  74. 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. Oral Presentation. †
  75. 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 Andrew J. Asman, Alexander S. Dagley, and Bennett A. Landman. Oral Presentation. †
  76. 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†
  77. 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†
  78. 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†
  79. 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. Nagoya, Japan, September 2013 (Oral Presentation). LNCS 8159, p.170†
  80. A. 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. Oral Presentation. † PMCID 24478826
  81. 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†
  82. 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. Oral Presentation. †
  83. 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. Oral Presentation. †
  84. 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. Oral Presentation. †
  85. 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†
  86. 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 (Invited Paper) †
  87. 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†
  88. 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†
  89. A. Asman and B. Landman. “Simultaneous Segmentation and Statistical Label Fusion.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2012 (Oral Presentation) †
  90. Z. 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 (Oral Presentation) PMC3438516†
  91. 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 (Oral Presentation) †
  92. 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 (Oral Presentation) NIHMS341654†
  93. E. 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 †
  94. M. L. Esparza, E. B. Welch and 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 (Oral Presentation) †
  95. C. 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 (Oral Presentation) †
  96. 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 †
  97. R. 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) †
  98. A. 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) NIHMS317651†
  99. 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 (Oral Presentation) NIHMS317653 *** BEST PAPER AWARD ***†
  1. 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 PMC3103184 †
  2. 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 PMC3083117†
  3. 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 (Oral Presentation) NIHMSID 259407†
  4. 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 (Oral Presentation) PMC3154704†
  5. 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 (Oral Presentation) PMC3110005 †
  6. 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 PMC3087384 †
  7. 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 (Oral Presentation) PMC2998761 †
  8. 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 (Oral Presentation) PMC2854412
  9. 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 (Oral Presentation) PMC2917119
  10. 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 PMC2997739
  11. 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. NIHMSID #158427
  12. 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. NIHMSID #158428
  13. 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 PMC2812932
  14. 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 PMC2872926
  15. B. A. Landman, P-L. Bazin, and J. L. Prince. “Diffusion Tensor Estimation by Maximizing Rician Likelihood”, In Proceedings of the 2007 International Conference on Computer Vision Workshop on Mathematical Methods in Biomedical Image Analysis, Rio de Janeiro, Brazil, October 2007. (Oral Presentation)

Conference Publications (abstracts only)

(Partial List)

  1. Kurt G. Schilling, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Adam W Anderson. “Can We Get Around the Crossing Fiber Problem by Increasing Spatial resolution?” In Proceedings of the ISMRM Workshop on Diffusion MRI. Lisbon, Portugal, September 2016. Oral presentation.
  2. Mark Breazzano, Shikha Chaganti, Katrina Nelson, Bennett Landman, Louise Mawn. Understanding Visual Field Loss in Idiopathic Intracranial Hypertension. American Academy of Ophthalmology Meeting 2016.
  3. Mark Breazzano, Shikha Chaganti, Katrina Nelson, Bennett Landman, Louise Mawn. Risk Factors Associated with Visual Field Loss in Idiopathic Intracranial Hypertension. American Academy of Ophthalmology Meeting 2016.
  4. Yongxia Zhou, Murat Bilgel, Lori L Beason-Held, Yang An, Bennett A. Landman, William W. Seeley, Dean F. Wong, Susan M. Resnick. “Effects of Aβ Deposition and Apolipoprotein E Genotype on Default Mode Network Functional Connectivity.” Alzheimer’s Association International Conference. July 22-28, 2016 Toronto, Canada
  5. Yongxia Zhou, Yang An, Murat Biegel, Natalie Diprospero, Bennett A. Landman, Lori L. Beason-Held, Susan M. Resnick, “Aging and APOE Genotype Effects on Structural Connectivity.” Alzheimer’s Association International Conference. July 22-28, 2016 Toronto, Canada
  6. Kendra E. Hinton, Victoria Villalta-Gil, Brian D. Boyd, Katherine B. Werts, Scott Perkins, Kevin M. Anderson, Benjamin C. Yvernault, Neil D. Woodward, Bennett A. Landman, Benjamin B. Lahey, David H. Zald, “Low family income during childhood is predictive of white matter microstructure in adulthood”, Organization of Human Brian Mapping. June 2016
  7. Aboud, K.S., Huo, Y., Kang, H., Ealey, A., Landman, B.A. & Cutting, L.E. (2016, April). “Lifespan characterization of inter-network structural covariance: a big-data cross-sectional MRI study.” Poster to be presented at annual meeting of the Cognitive Neuroscience Society, New York, NY.
  8. Megan C. Ichinose, Kendra E. Hinton, James O. Ryan, Andrew J. Plassard, Jacqueline Roig, David H. Zald, Bennett A. Landman, Sohee Park, Daniel O. Claassen, and Scott A. Wylie. “White Matter Correlates of Semantic Fluency in Parkinson’s Disease.” Biological psychiatry. May 2016
  9. Kendra E. Hinton, Joseph U. Kim, Victoria Villalta-Gil, Brian D. Boyd, Leah L. Burgess, Allison S. Katsantonis, Courtney L. Sellani, Scott Perkins, Katherine B. Werts, Benjamin C. Yvernault, Neil D. Woodward, Bennett A. Landman, Benjamin B. Lahey, David H. Zald. “Gender Differences in the Association Between Uncinate Fasciculus Fractional Anisotropy and Reappraisal Use.” Biological psychiatry. May 2016
  10. Benjamin Conrad, Bailey Lyttle, Siddharama Pawate, Robert Barry, Bennett Landman, Seth Smith. “Measuring CSA of the Spinal Cord at 7T: Validating Fully Automated Segmentation.” Proceedings of the International Society for Magnetic Resonance in Medicine. May 2015. †
  11. Yurui Gao, Feng Wang, Bennett A. Landman, Iwona Stepniewska, Ann S. Choe, Adam W. Anderson, Zhaohua Ding, Limin Chen, John Gore. “Comparison of BOLD and CBV-weighted resting state connectivity to an anatomical ‘gold standard’ in the motor network of the squirrel monkey brain.” In Proceedings of the International Society for Magnetic Resonance in Medicine Conference. Toronto, Ontario, May 2015. †
  12. Robert L Harrigan, Katrina M Nelson, Lindsey M Dethrage, Robert L Galloway, Bennett A Landman, Louise A Mawn and Seth A Smith. “Mapping of the optic nerve in multiple sclerosis patients with and without optic neuritis.” In Proceedings of the International Society for Magnetic Resonance in Medicine Conference. Toronto, Ontario, May 2015. †
  13. Binish Patel, Neda Jahanshad, Thomas Nichols, Bennett A. Landman, Dennis Van Ent, Rachel M. Brouwer Paul Thompson, David Glahn, David Van Essen, Peter Kochunov. “V Homogenizing estimates of heritability among SOLAR-Eclipse, OpenMX, and APACE software packages in neuroimaging data.” 11th Annual International Imaging Genetics Conference. Irvine, CA. January 2015†
  14. Rebeccah B. Baucom, MD; Zhoubing Xu, BS; Wade M. Allen, BS; Andrew J. Asman, BS; Bennett A. Landman, PhD; Benjamin K. Poulose, MD, MPH. “Quantitative Evaluation of Abdominal Wall Hernias Using Anatomical Labeling.” American Hernia Society (AHS) Annual Hernia Repair Conference. Las Vegas, NV, March 12-15, 2014 †
  15. Ran Xu, Zhaohua Ding, Alexander S. Dagley, Adam W. Anderson, Bennett A. Landman, Bassel Abou-Khalil, Victoria L. Morgan. “Reduced Structural Connectivity Strength between Left and Right Hippocampus in Temporal Lobe Epilepsy.” American Epilepsy Society (AES). Washington, DC. December 6 – 10†
  16. Anusha Sathyanarayanan Rao, Jing Fan, Cynthia Brame, Bennett A. Landman. “Improving Conceptual Understanding of Signals and Systems in Undergraduate Engineering Students Using Collaborative In-Class Laboratory Exercises.” American Society for Engineering Education. Indianapolis, Indiana. June 15 – 18, 2014. †
  17. Gao, A. J. Plassard, A. S. Choe, I. Stepniewska, X. Li, B. A. Landman, A. W. Anderson. “Cortical parcellation based on DTI connectivity–validation in the squirrel monkey brain”, ISMRM, Milano, Italy. May 2014. Oral presentation. †
  18. Schilling, K., Gao, Y., Panda, S., Choe, A., Stepniewska, I., Landman, B., Anderson, A., “Voxel-wise comparison of in vivo and ex vivo DTI measurements in the squirrel monkey brain.” International Society for Magnetic Resonance in Medicine, Milan, Italy. May 2014. †
  19. Peter Kochunov, Neda Jahanshad, Charles Peterson, Emma Sprooten, Susan Wright, Thomas Nichols, Bennett Landman, Colin A. Hodgkinson, David Goldman, Douglas Williamson, Ahmad Hariri, Elliot Hong, Elliot Stein, Yihong Yang, Paul Thompson, David Glahn and John Blangero. “Multi-site genomic association analyses in SOLAR-Eclipse: Replicating genetic associations in cerebral white matter in the ENIGMA-DTI Consortium.” 10th Annual International Imaging Genetics Conference. Irvine, CA. January 20-21, 2014†
  20. Neda Jahanshad, Peter Kochunov, Thomas E. Nichols, Emma Sprooten, René C. Mandl, Laura Almasy, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaitre, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright, Mark E. Bastin, Andrew M. McIntosh, René S. Kahn, Ian J. Deary, Hilleke E. Hulshoff Pol, Douglas Williamson, John Blangero, Dennis van ’t Ent, David C. Glahn, Paul M. Thompson. “Joint modeling of multi-site white matter heritability estimates through meta and mega analyses.” 10th Annual International Imaging Genetics Conference. Irvine, CA. January 20-21, 2014†
  21. Peter Kochunov, Neda Jahanshad, Charles Peterson, Emma Sprooten, Susan Wright, Thomas E. Nichols, Bennett Landman, Colin A. Hodgkinson, David Goldman, Douglas Williamson, Ahmad Hariri, Elliot Hong, Elliot Stein, Yihong Yang, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Paul M. Thompson, Margaret J. Wright, David G. Glahn and John Blangero. “Replication of genetic associations for white matter in 2250 children and adults using Mega-Genetic Analysis and ENIGMA-DTI” Organization for Human Brain Mapping, Hamburg, Germany, June 8 – 12, 2014†
  22. Neda Jahanshad, Peter Kochunov, Thomas E Nichols, Emma Sprooten, René C Mandl, Laura Almasy, Rachel M Brouwer, Joanne E Curran, Greig I de Zubicaray, Rali Dimitrova, Peter T Fox, L Elliot Hong, Bennett A Landman, Hervé Lemaitre, Michelle Luciano, Nicholas G Martin, Katie L McMahon, Braxton D Mitchell, Rene L Olvera, Charles P Peterson, 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 JC de Geus, Ian J Deary, Douglas Williamson, John Blangero, Hilleke E Hulshoff Pol, Dennis van ’t Ent, David C Glahn, Paul M Thompson. Using meta and mega analyses to find regional heritability estimates from 2203 scans – from the ENIGMA-DTI working group. Organization for Human Brain Mapping, Hamburg, Germany, June 8 – 12, 2014†
  23. Venkatraman, V. K.; Gonzalez, C; Landman, B.A.; Goh, J; Resnick, S.M., “Age Differences and Longitudinal Changes on Diffusion Tensor Imaging Measures,” Society for Neuroscience, Washington, DC, November 15-19†
  24. Gonzalez, C; Venkatraman, V. K; Landman, B.A.; Goh, J; Resnick, S.M., “Reliability of diffusion tensor imaging measures within and across scanners,” Society for Neuroscience, Washington, DC, November 15-19†
  25. The ENIGMA-DTI working group. “Study of candidate gene effects on white matter microstructure in 4000+ individuals – from the ENIGMA-DTI working group,” Society for Neuroscience, Washington, DC, November 15-19†
  26. Yurui Gao, Feng Wang, Junzhong Xu, Bennett A. Landman, Kurt Schilling, Limin Chen, John Gore, Adam W. Anderson. “A robust method to reconstruct gradient-echo multi-shot EPI with triple reference scans”. Organization for Human Brain Mapping. June 2015†
  27. Kendra E. Hinton, Benjamin B. Lahey, Victoria Villata-Gil, Brian D. Boyd, Benjamin C. Yvernault, Neil D. Woodward, Bennett A. Landman, David H. Zald. “Go-no/go performance is related to white matter microstructure in a broad range of regions” Organization for Human Brain Mapping. June 2015†
  28. Katherine Swett, Yuankai Huo, Elyce Williams, Susan M. Resnick, Bennett A. Landman and Laurie E. Cutting. Socioeconomic status predicts prefrontal cortex volume across the lifespan: a big data, cross-sectional MRI study. In Cognitive Neuroscience Society. San Francisco, California, March 28th, 2015. †
  29. Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter Kochunov, Bennett A. Landman, “The impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using SOLAR”. 10th Annual International Imaging Genetics Conference. Irvine, CA. January 20-21, 2014†
  30. Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter Kochunov, Bennett A. Landman, “Neuroimaging Genetics Study Design: A Comparison of the OpenMX and SOLAR Software Packages for Estimating Heritability of Neuroimaging Traits”. 10th Annual International Imaging Genetics Conference. Irvine, CA. January 20-21, 2014†
  31. Swetasudha Panda, Andrew J. Asman, Bennett A. Landman. “Multi-Atlas Segmentation using Unoptimized Baseline Statistical Fusion”. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge Workshop on Segmentation: Algorithms, Theory and Applications. 2013 Nagoya, Japan†
  32. Andrew J. Asman, Bennett A. Landman. “Summary of the MASI Statistical Fusion Approach for the MICCAI SATA Challenge”. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge Workshop on Segmentation: Algorithms, Theory and Applications. 2013 Nagoya, Japan†
  33. Neda Jahanshad, Peter Kochunov, Emma Sprooten, René C. Mandl, Thomas E. Nichols, Thomas Booth, John Blangero, Greig I. de Zubicaray, Narelle K. Hansell, Elliot L. Hong, Bennett A. Landman, Nicholas G. Martin, Katie L. McMahon, Sarah E. Medland, Braxton D. Mitchell, Charles P. Peterson, John M. Star, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson, and David C. Glahn. “Multi-Site Genetic Analysis of 1151 Diffusion MRI Scans from the ENIGMA–DTI Working Group.” Organization for Human Brian Mapping. Seattle, WA, Submitted January 2013 Oral Presentation. †
  34. Swetasudha Panda, Andrew J Asman, Louise A Mawn, Bennett A Landman, and Seth A Smith. Physicists and clinicians focused on developing novel MRI-based tools to characterize small nervous system structures. International Society for Magnetic Resonance in Medicine, Salt Lake City, Utah, April 2013†
  35. Peter Kochunov, Charles Peterson, Neda Jahanshad, Thomas E. Nichols, Bennett A. Landman, Paul M. Thompson, David G. Glahn and John Blangero. SOLAR-Eclipse computational tools for genetic and mega-genetic analysis. International Imaging Genetics Conference. Irvine, CA. January 21, 2013†
  36. Bo Li, Brian S. Caffo, Aniruddha S Gokhale, Bennett A. Landman. Medical Image Processing in the Cloud. International Imaging Genetics Conference. Irvine, CA. January 21, 2013†
  37. Bennett Landman. “Statistical Methods for Label Fusion: Robust Multi-Atlas Segmentation.” Eastern North American Region/International Biometric Society (ENAR) Meeting. March 11, 2013 (Invited Presentation) †
  38. Seth Smith, Sivashakthi Kanagalingam, Swetasudha Panda, Andrew Asman, Sarita Dave, Bennett Landman, Blake Dewey, Ha-Kyu Jeong, Louise Mawn. “Advanced MRI of Optic Nerve Drusen: Preliminary Findings.” North American Neuro-Ophthalmology Society (NANOS), Snowbird, Utah, February 2013 (Distinguished Paper Award) †
  39. Jitka Sojkova, Joshua Goh, Bennett Landman, Xue Yang, Yun Zhou, Yang An, Lori L. Beason-Held, Michael A. Kraut, Dean F. Wong, Susan M. Resnick. “Voxel-Wise Investigation of Cerebral Blood Flow and Distribution Volume Ratio (DVR) Maps: Contribution of Blood Flow to DVR, a Measure of Β-Amyloid Deposition.” Human Amyloid Imaging Conference, Miami, Florida, January 2012†
  40. Martha J. Holmes, Xue Yang, Bennett A. Landman, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, Victoria L. Morgan. “Multiregional Network of MRI Structural and Functional Connectivity Changes in Left TLE.” American Epilepsy Society. November 2012, San Diego, CA†
  41. Martha Holmes, Zhaohua Ding, Xue Yang, Bennett Landman, John Gore, Bassel Abou-Khalil, Hasan Sonmezturk, and Vicky Morgan. “Relationship between gray matter concentration and resting functional connectivity to the thalamus: Evidence of the temporal lobe epilepsy seizure network.” ”, International Society for Magnetic Resonance in Medicine, Melbourne, Australia, May 2012†
  42. William R. Gray, John A. Bogovic, Joshua T. Vogelstein, Bennett A. Landman, Jerry L. Prince, and R. Jacob Vogelstein. “MRCAP Pipeline and Repeatability Analysis”. Society for Neuroscience, Washington, DC, November 2011†
  43. Jitka Sojkova, Joshua Goh, Bennett Landman, Xue Yang, Yun Zhou, Yang An, Lori L. Beason-Held, Michael A. Kraut, Dean F. Wong, Susan M. Resnick, “Increased β-amyloid deposition is associated with increased cerebral blood flow in nondemented older adults”. Society for Neuroscience, Washington, DC, November 2011†
  44. -L. Bazin, N. Shiee, A. Carass, M. Chen, J. Bogovic, D. S. Reich, B. A. Landman, M. McAuliffe, J. L. Prince, and D. L. Pham, “Anatomical Segmentation of Cortical Surfaces, Sub-cortical Structures and Major White Matter Tracts from Brain Structural and Diffusion MRI in MIPAV”. European Society for Magnetic Resonance in Medicine (ESMRMB), Leipzig, Germany, October 2011†
  45. Martha J. Holmes, Zhaohua Ding, Xue Yang, Bennett A. Landman, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, and Victoria L. Morgan. “Voxel-wise relationship between gray matter volume and resting state connectivity to the hippocampus in temporal lobe epilepsy”. American Epilepsy Society. Baltimore, MD, December 2011†
  46. Carolyn B. Lauzon, Brian Caffo, Bennett A. Landman. “Assessment of Bias in MRI Diffusion Tensor Imaging Parameters Using SIMEX”, In Proceedings of the Joint Statistical Meetings (JSM), Miami Beach, FL, August 2011. †
  47. Xue Yang , Carolyn B. Lauzon, Ciprian Crainiceanu, Brian Caffo, Susan M. Resnick, Bennett A. Landman. “Massively Univariate Regression Accounting For Random Regressors”, In Proceedings of the Joint Statistical Meetings (JSM), Miami Beach, FL, August 2011. †
  48. Carolyn B. Lauzon, Ciprian Crainiceanu, Brian C. Caffo, Bennett A. Landman, Power Calculation for Diffusion Tensor Imaging Data. VUIIS Annual Retreat. Lexington, KY. July 2011†
  49. Dula, A., Arlinghaus, L., Landman, B., Dortch, R., Gore, J., Yankellov, T., and Smith, S., “Chemical Exchange Saturation Transfer (CEST) MRI of the Breast at 3T using Amide Proton Transfer (APT).”International Society for Magnetic Resonance in Medicine, Montreal, Canada. May 2011†
  50. Dula, A., Dortch, R., Landman, B., Gore, J., and Smith, S., “Application of Chemical Exchange Saturation Transfer (CEST) Imaging to Examine Amide Proton Transfer (APT) in the Spinal Cord at 3T.”International Society for Magnetic Resonance in Medicine, Montreal, Canada. May 2011†
  51. LL Beason-Held, M Thambisetti, G Deib, J Sojkova, BA Landman, AB Zonderman, L Ferrucci, MA Kraut, and SM Resnick. Cardiovascular Risk and Longitudinal Changes in Resting Brain Function. Organization for Human Brain Mapping, Quebec City, Canada, June 2011†
  52. Han, Z. , Yang, X., Landman, B. A., Gore, J. C., and Dawant, B. M., “Effects of Nonrigid Registrations on DBM Analysis Using SSD Model.”International Society for Magnetic Resonance in Medicine, Montreal, Canada. May 2011†
  53. Klein, B. A. Landman, T. Dalcanton, D. W. Shattuck, J. A. Tourville, and A. J. Worth. “An interactive tool for constructing optimal brain colormaps”. Society for Neuroscience, San Diego, California, November 2010 †
  54. Ozturk, J. A.D. Farrell, B. A. Landman, J. Pillai, and D. M. Yousem, “Does an experienced neuroradiologist need DTI to localize the cortical spinal tract in patients with brain tumors?”, American Society of Neuroradiolgy, November 2010†
  55. N. Dula, E. M. Asche, B. A. Landman, S. Pawate, J. C. Gore, and S. A. Smith, “Application of Chemical Exchange Saturation Transfer (CEST) MRI to Multiple Sclerosis at 7T”, Radiological Society of North America, Chicago, Illinois, November 2010†
  56. Bennett A. Landman, Kelsie Covington, Evan S. McCreedy, Min Chen, Aaron Carasss, Nicole Aucoin, Jerry L. Prince, Dzung L. Pham. “JIST: An Open-Source, Java-Based Integrative Framework for Biomedical Image Analysis.” NCI NCRI Conference. June 2010†
  57. Chang H. Jung, Soo I. Choi, Annie X. Du, Jennifer L. Cuzzocreo, Bennett A. Landman, Susan L. Perlman, Robert W Baloh, David S Zee, Arthur W Toga, Jerry L. Prince, and Sarah H. Ying. “High-resolution MRI shows region-specific cerebellar atrophy in SCA2”. Ataxia Investigators’ Meeting, Chicago, IL, March 2010.
  58. Arno Klein, Bennett Landman, Joel Lee, Andrew Worth. “Open labels: online feedback for a public resource of manually labeled brain images.” Organization for Human Brain Mapping, June 2010†
  59. Joshua Vogelstein, John Bogovic, Aaron Carass, William Gray, Jerry Prince, Bennett Landman, Dzung Pham, Luigi Ferrucci, Susan Resnick, Carey Priebe, and R. Jacob Vogelstein. “Graph-Theoretical Methods for Statistical Inference on MR Connectome Data”. Organization for Human Brain Mapping, June 2010†
  60. A. Landman, H. Wan, J. A. Bogovic, P. C. van Zijl, P-L. Bazin, and J. L. Prince. “In the Pursuit of Intra-Voxel Fiber Orientations: Comparison of Compressed Sensing DTI and Q-Ball MRI”, International Society for Magnetic Resonance in Medicine, Stockholm, Sweeden, May 2010
  61. A. Landman, H. Wan, J. A. Bogovic, P. C. van Zijl, P-L. Bazin, and J. L. Prince. “Accelerated Compressed Sensing of Diffusion-Inferred Intra-Voxel Structure through Adaptive Refinement”, International Society for Magnetic Resonance in Medicine, Stockholm, Sweeden, May 2010
  62. A. Bogovic, M. Chen, A. Carass, P-L. Bazin, D. Pham, S. M. Resnick, J. L. Prince, and B. A. Landman. “Multi-Modal Structural Networks: Mapping of Connectivity through Diffusion, Functional, and Structural Assessment of Intervening Pathways”, International Society for Magnetic Resonance in Medicine, Stockholm, Sweeden, May 2010
  63. A. Farrell, B. A. Landman, J. Zhang, S. A. Smith, D. S. Reich, P. A. Calabresi, and P. C. van Zijl. “The Effect of Beading and Permeable Axons on Water Diffusion Properties: A Monte Carlo Simulation of Axonal Degeneration and Its Effect on DTI and Q-space Contrasts”, International Society for Magnetic Resonance in Medicine, Stockholm, Sweeden, May 2010
  64. N. Dula, R. D. Dortch, B. A. Landman, S. Pawate, P. J. Lavin, E. B. Welch, J. C. Gore, and S. A. Smith, “Application of CEST Imaging to Study Amide Proton Transfer (APT) in Healthy Controls and Multiple Sclerosis Pathology at 7 Tesla”, International Society for Magnetic Resonance in Medicine, Stockholm, Sweeden, May 2010
  65. N. Dula, R. D. Dortch, B. A. Landman, E. B. Welch, J. C. Gore, and S. A. Smith, “CEST Imaging at 7 Tesla: Comparison of the WASSR and Higher Order Polynomial Fit to Determine Center Frequency”, International Society for Magnetic Resonance in Medicine, Stockholm, Sweeden, May 2010
  66. A. Landman, Y. Park, Z. Ma, and C. Priebe. “Data Fusion and Inference with Disparate Feature Spaces using Iterative Denoising Trees”, In Proceedings of the Joint Statistical Meetings (JSM), Washington, DC, August 2009. August 2009.
  67. A. Landman, B. C. Lucas, J. A. Bogovic, A. Carass, J. L. Prince, “A Rapid Prototyping Environment for NeuroImaging in Java”, Organization for Human Brain Mapping, June 2009
  68. A. Landman, J. C .Hoyt, E. J. Sax, K. P. Smith, “NeuroWeb Database: A Laboratory Management System for Neuroimaging Coordination, Collaboration and Analysis ”, Organization for Human Brain Mapping, June 2009
  69. A. Bogovic, B. A. Landman, J. L. Prince, S. H. Ying, “Probabilistic Atlas of Cerebellar Degeneration Reflects Volume and Shape Changes”, Organization for Human Brain Mapping, June 2009
  70. Invited Poster: B. A. Landman, “CATNAP and JIST: DTI Processing Made Ridiculously Simple,” International Society for Magnetic Resonance in Medicine Educational Sessions, May 16, 2009
  71. A. Landman, J. A.D. Farrell, and P. C.M. van Zijl, “Optimal An Open Source Monte Carlo Framework for Simulating Diffusion in Biologically Relevant Geometries including Broken, Crimped and Bulging Axons,” International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii, May 2009
  72. A. Landman, J. Bogovic, and J. L Prince, “Efficient Anatomical Labeling by Statistical Recombination of Partially Label Datasets,” International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii, May 2009
  73. A.D. Farrell, B. A. Landman, J. Zhang, S. A. Smith, D. S. Reich, P. A. Calabresi, and P. C.M. van Zijl, “The Effect of Axonal “Beading” on Water Diffusion Properties: A Monte Carlo Simulation of Axonal Degeneration and its Effects on DTI Contrasts,” International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii, May 2009
  74. Huang, J. L. Prince, A. Carass, B. Landman, P. C. van Zijl, and S. Mori. “Probabilistic Corticocortical Connectivity Maps of Human Brain based on DTI Tractography and Cortical Parcellation”, International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii, May 2009
  75. Gifford, S.A. Smith, V. Belegu, B.A. Landman, J.A.D. Farrell, J.W. McDonald, “Quantitative Assessment of Traumatic Spinal Cord Injury with Diffusion Tensor and Magnetization Transfer MRI,” Johns Hopkins Biotechnology Meeting, Baltimore, MD, September 2008
  76. A. Landman, J. A.D. Farrell, S. A. Smith, P. A. Calabresi, P. C.M. van Zijl, and J. L Prince, “Optimal Likelihood Analysis of Q-Space MRI,” National Institute of Biomedical Imaging and Bioengineering (NIBIB) 2008 Training Grantees Meeting, Bethesda, Maryland, June 2008
  77. Bonekamp, B. Landman, P. A. Calabresi, and D. Reich, “In Multiple Sclerosis, Tract Based Spatial Statistics reveal that Corpus Callosum Diffusion Tensor Imaging Abnormalities are associated with Cognitive Dysfunction,” Radiological Society of North America, Chicago, Illinois, November 2008
  78. Lucas, B. Landman, J. Prince, and D. Pham, “MAPS: A Free Medical Image Processing Pipeline,” Organization for Human Brain Mapping, Melbourne, Australia, June 2008
  79. A. Landman, P-L. Bazin, and J. L. Prince, “Robust DTI Noise Level Estimation Improves RESTORE Tensor Estimation,” International Society for Magnetic Resonance in Medicine, Toronto, Canada, May 2008
  80. A. Landman, P-L. Bazin, and J. L. Prince, “Robust Diffusion Tensor Estimation by Maximizing Rician Likelihood,” International Society for Magnetic Resonance in Medicine, Toronto, Canada, May 2008
  81. A. Landman, J. A.D. Farrell, S. A. Smith, P. C.M. van Zijl, and J. L Prince, “Q-Space Diffusion Weighted MRI Analyzed with Maximizing Rician Likelihood Improves Reliability and Tissue Contrast,” International Society for Magnetic Resonance in Medicine, Toronto, Canada, May 2008 (Oral Presentation)
  82. A. Landman, J. A.D. Farrell, S. A. Smith, P. A. Calabresi, P. C.M. van Zijl, and J. L Prince, “Exploring the Information Content of q-Space Diffusion Weighted Imaging: Application to Multiple Sclerosis (MS) Spinal Cord Lesions,” International Society for Magnetic Resonance in Medicine, Toronto, Canada, May 2008
  83. J. Peterson, B. A. Landman, and L. E. Cutting. “The impact of robust tensor estimation on voxel-wise analysis of DTI data,” International Society for Magnetic Resonance in Medicine, Toronto, Canada, May 2008
  84. A. Smith, V. Belegu, B. A. Landman, B. A. Chodkowski, J. A. Farrell, P. C. van Zijl, and J. W. McDonald. “Quantitative Assessment of Traumatic Spinal Cord Injury with Diffusion Tensor and Magnetization Transfer MRI,” International Society for Magnetic Resonance in Medicine, Toronto, Canada, May 2008
  85. X. Du, J. L. Cuzzocreo, B. A. Landman, S. I. Choi, R. W. Baloh, S. L. Perlman, J. L. Prince, T. O. Crawford, A. W. Toga, D. S. Zee, and S. H. Ying. “Posterior fossa volumes as an indicator of early-onset cerebellar degeneration,” Society for Neuroscience, San Diego, California, November 2007
  86. A. Landman, S. Mori, and J. L. Prince. “Systematic Evaluation of Linear and Nonlinear DTI Estimation Methods: An Open Framework,” International Society for Magnetic Resonance in Medicine, Berlin, Germany, May 2007 [Poster]
  87. X. Du, B. A. Landman, D. S. Zee, J. L. Prince, and S. H. Ying. “Diffusion Tensor Imaging Reveals Disease-Specific Dentate Nucleus Changes in Cerebellar Degeneration,” Organization for Human Brain Mapping, Chicago, Illinois, June 2007
  88. A. Landman, A. X. Du, W. D. Mayes, J. L. Prince, and S. H. Ying, “Diffusion Tensor Imaging Enables Robust Mapping of the Deep Cerebellar Nuclei,” Organization for Human Brain Mapping, Chicago, Illinois, June 2007 [Poster]
  89. A. Landman, J. A. D. Farrell, N-L. Patel, S. Mori, and J. L. Prince, “DTI Fiber Tracking: The Importance of Adjusting DTI Gradient Tables for Motion Correction. CATNAP – A Tool to Simplify and Accelerate DTI Analysis,” Organization for Human Brain Mapping, Chicago, Illinois, June 2007 [Poster]
  90. C. Ng, S. A. Smith, J. S. Gillen, B. A. Landman, D. K. Luk, Y. Hu, P. C. van Zijl, and E. S. Yang. “Improved distortion correction in cerebral and spinal DTI using interleaved reversed gradients”, International Society for Magnetic Resonance in Medicine, Berlin, Germany, May 2007
  91. A. Landman, J. A. Farrell, S. Mori, P. C. van Zijl, and J. L. Prince. “Tradeoffs Between Tensor Orientation and Anisotropy in DTI: Impact of Diffusion Weighting Scheme”, International Society for Magnetic Resonance in Medicine, Berlin, Germany, May 2007 [Poster]
  92. A. Landman, H. Huang, J. L. Prince, and S. H. Ying. “A Window for High-Resolution Post-Mortem DTI: Mapping Contrast Changes in Neural Degeneration,” International Society for Magnetic Resonance in Medicine, Berlin, Germany, May 2007 [Poster]
  93. Shinagawa, E. Z. Murano, J. Zhuo, R. P. Gullapalli, B. Landman, J. L. Prince, and M. Stone. “Human Tongue Myoarchitecture with Oral Appliance, Using Diffusion Tensor Imaging.” International American and Canadian Associations for Dental Research. New Orleans, Louisiana, #1885. March 2007
  94. Shinagawa, E. Z. Murano, J. Zhuo, R. P. Gullapalli, B. Landman, J. L. Prince, and M. Stone. “Tongue muscle fiber tracking during tongue protrusion and rest”. Acoustical Society of America, Honolulu, Hawaii, December 2006
  95. H. Ying, J. A. Freedlander, D. C. Roberts, B. A. Landman, and D. S. Zee. “The cerebellar substrate of vergence adaptation: an fMRI study”, Society for Neuroscience, Atlanta, Georgia, October 2006
  96. I. Choi, A. H. Sinofsky, B. A. Landman, S. L Perlman, R. W Baloh, D. S Zee, A. W. Toga, J. L. Prince, and S.H. Ying, “Volumetric Analysis of Cerebellar Subregions and Functional Correlations in Spinocerebellar Ataxia Type 2 (SCA2): Evidence for a Developmental as well as an Acquired Component to Parenchymal Atrophy”, Organization for Human Brain Mapping, Florence, Italy, June 2006
  97. H. Sinofsky, B. A. Landman, S. Chowdhury, A. Gambini, S. Mori, D. S. Zee, J. L. Prince, and S. H. Ying. “Diffusion-weighted MR imaging of the cerebellar peduncles as a surrogate measure of cerebellar degeneration”, Organization for Human Brain Mapping, Florence, Italy, June 2006
  98. B. Wheeler, B. A. Landman, S. I. Choi, A. H. Sinofsky, D. S. Zee, S. H. Ying, and J. L. Prince. “MR CAVE: Multi-atlas Robust Cerebellar Automated Volume Estimation”, Organization for Human Brain Mapping, Florence, Italy, June 2006
  99. A. Landman, S. Chowdhury, A. H. Sinofsky, S. Mori, D. S. Zee, J. L. Prince, and S. H. Ying. “s-Image Representation of Diffusion Tensor Contrast and Fiber Geometry: Leukometric Analysis in the Brainstem and Cerebellum”, Organization for Human Brain Mapping, Florence, Italy, June 2006
  100. A. Landman, S. Chowdhury, A. H. Sinofsky, A. S. K. Liu, S. Mori, D. S. Zee, J. L. Prince, and S. H. Ying. “Delineation of Cerebellar Fiber Tracts on Anatomically Aligned Planes with ViPAR, a Novel MRI Visualization and Manipulation Tool”, Organization for Human Brain Mapping, Florence, Italy, June 2006
  101. Huang, J. L. Prince, A. Carass, B. Landman, P. C. van Zijl, and S. Mori. “Corico-cortical connectivity revealed by DTI-based tractography”, International Society for Magnetic Resonance in Medicine, Seattle, Washington, May 2006
  102. A. Farrell, B. A. Landman, C. K. Jones, S. A. Smith, J. L. Prince, P. C. van Zijl, and S. Mori. “Effects of Diffusion Weighting Scheme and SNR on DTI-derived Fractional Anisotropy at 1.5T”, International Society for Magnetic Resonance in Medicine, Seattle, Washington, May 2006
  103. A. Landman, J. A. D. Farrell, S. Mori, P. C.M. van Zijl, and J. L. Prince. “Optimal Partitioning of Diffusion Weighting Schemes”, International Society for Magnetic Resonance in Medicine, Seattle Washington, May 2006
  104. A. Landman, J. A. Farrell, S. Mori, P. C. van Zijl, and J. L. Prince. “On the Coregistration of Diffusion Weighted Images”, International Society for Magnetic Resonance in Medicine, Seattle Washington, May 2006
  105. A.D Farrell, B.A. Landman, C.K. Jones, S.A. Smith, J.L. Prince, P.C.M. van Zijl, and S. Mori. “Effects of Scan Repetition on DTI-derived Fractional Anisotropy Measures at 1.5T”, Workshop on Imaging Myelin, Formation, Destruction and Repair. Vancouver, Canada, 8-10 February 2006
  106. Fein, G. and Landman. “Cognitive Function and ‘Brain Shrikage’ in Long-Term Abstinent Alcoholics”. Alcoholism: Clinical & Experimental Research. International Society for Biomedical Research on Alcoholism 12th World Congress on Biomedical Alcohol Research, Heidelburg/Mannheim, Germany. 28(8) Supplement:79A. October 2004