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Publications

Book Chapters

  1. Bennett A.Landman, Ilwoo Lyu, Yuankai Huo, and Andrew J. Asman. “Multiatlas segmentation.” In Handbook of Medical Image Computing and Computer Assisted Intervention, pp. 137-164. Academic Press, 2020.

Journal Publications

  1. Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes Fogo, and Yuankai Huo. “Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images.” IEEE Transactions on Medical Imaging (2021).
  2. Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, and Yuankai Huo. “Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.” Medical Image Analysis (2021)
  3. Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Yuankai Huo, and Bennett A. Landman “High-resolution 3D abdominal segmentation with random patch network fusion.” Medical Image Analysis (2021).
  4. Claire Donnici, Xiangyu Long, Deborah Dewey, Nicole Letourneau, Bennett Landman, Yuankai Huo, and Catherine Lebel. “Prenatal and postnatal maternal anxiety and amygdala structure and function in young children.” Scientific reports (2021).
  5. Yuankai Huo, Ruining Deng, Quan Liu, Agnes B. Fogo, and Haichun Yang. “AI applications in renal pathology.” Kidney International (2021).
  6. Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo*, Bennett A. Landman. “Body Part Regression with Self-supervision.” IEEE Transactions on Medical Imaging (2021). (* Corresponding Author)
  7. Yiyuan Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Yuankai Huo, Matthew T. McKenna, Michael R. Savona, Richard G. Abramson, and Bennett A. Landman. “Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans.” Journal of Medical Imaging 8, no. 1 (2021).
  8. Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg et al. “Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.” NeuroImage (2020).
  9. Jorge A. Salas, Roza G. Bayrak, Yuankai Huo, and Catie Chang. “Reconstruction of respiratory variation signals from fMRI data.” NeuroImage (2020).
  10. Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein et al. “Time-distanced gates in long short-term memory networks.” Medical Image Analysis (2020): 101785.
  11. Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, and Yuankai Huo. “Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment.” Journal of Medical Imaging (2020).
  12. Yucheng Tang, Riqiang Gao, Yunqiang Chen, Dashan Gao, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Yuankai Huo, and Bennett A. Landman. “Learning from dispersed manual annotations with an optimized data weighting policy.” Journal of Medical Imaging 7, no. 4 (2020): 044002.
  13. Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, and Le Lu. “Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.” IEEE transactions on medical imaging (2020).
  14. Sandra González-Villá, Arnau Oliver, Yuankai Huo, Xavier Lladó, and Bennett A. Landman. “A fully automated pipeline for brain structure segmentation in multiple sclerosis.” NeuroImage: Clinical (2020): 102306.
  15. Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen et al. “Multi-path xD recurrent neural networks for collaborative image classification.” Neurocomputing (2020).
  16. VishweshNath, Kurt G. Schilling, Prasanna Parvathaneni, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Muhamed Barakovic et al. “Tractography reproducibility challenge with empirical data (traced): The 2017 ismrm diffusion study group challenge.” Journal of Magnetic Resonance Imaging 51, no. 1 (2020): 234-249.
  17. Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Yuankai Huo, Justin A. Blaber et al. “Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.” Magnetic resonance imaging 62 (2019): 220-227.
  18. Camilo Bermudez, Andrew J. Plassard, Shikha Chaganti, Yuankai Huo, Katherine S. Aboud, Laurie E. Cutting, Susan M. Resnick, and Bennett A. Landman. “Anatomical context improves deep learning on the brain age estimation task.” Magnetic resonance imaging 62 (2019): 70-77.
  19. Shunxing Bao, Camilo Bermudez, Yuankai Huo, Prasanna Parvathaneni, William Rodriguez, Susan M. Resnick, Pierre-François D’Haese et al. “Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.” Magnetic resonance imaging 59 (2019): 143-152.
  20. Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry; Jeffrey J. Carr; Richard G. Abramson; and Bennett A. Landman. “Stochastic tissue window normalization of deep learning on computed tomography.” Journal of Medical Imaging 6, no. 4 (2019): 044005.
  21. Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, Jeffery J. Carr, and Bennett A. Landman. “Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.” Medical physics (2019)
  22. Prasanna Parvathaneni, Vishwesh Nath, Maureen McHugo, Yuankai Huo, Susan M. Resnick, Neil D. Woodward, Bennett A. Landman, and Ilwoo Lyu. “Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks.” Journal of neuroscience methods(2019): 108311.
  23. Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Baxter P. Rogers, Kurt G. Schilling, Vishwesh Nath, Justin A. Blaber et al. “Improved gray matter surface based spatial statistics in neuroimaging studies.” Magnetic resonance imaging (2019).
  24. Kurt G. Schilling, Justin Blaber, Yuankai Huo, Allen Newton, Colin Hansen, Vishwesh Nath, Andrea T. Shafer et al. “Synthesized b0 for diffusion distortion correction (Synb0-DisCo).” Magnetic resonance imaging (2019).
  25. Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M Resnick, Laurie E Cutting, Bennett A Landman. “3D whole brain segmentation using spatially localized atlas network tiles.” NeuroImage (2019)
  26. Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett Landman, and Padma Raghavan. “On-the-fly scheduling vs. reservation-based scheduling for unpredictable workflows.” International Journal of High Performance Computing Applications (2019).
  27. Owen A. Williams, Yang An, Lori Beason-Held, Yuankai Huo, Luigi Ferrucci, Bennett A. Landman, and Susan M. Resnick. “Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults.” NeuroImage 188 (2019): 572-583.
  28. Sandra González-Villà, Arnau Oliver, Yuankai Huo, Xavier Lladó, Bennett A Landman. “Brain structure segmentation in the presence of multiple sclerosis lesions” NeuroImage: Clinical (2019).
  29. Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, and Bennett A. Landman. “Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.” Computers in Biology and Medicine (2019).
  30. 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 40, no. 1 (2019): 125-136.
  31. Shunxing Bao, Camilo Bermudez, Yuankai Huo, Prasanna Parvathaneni, William Rodriguez, Susan M. Resnick, Pierre-François D’Haese et al. “Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.” Magnetic resonance imaging (2019).
  32. 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).
  33. 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).
  34. Yuankai Huo, Justin Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera et al. “Towards portable large-scale image processing with high-performance computing.” Journal of digital imaging 31, no. 3 (2018): 304-314.
  35. Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.” IEEE Transactions on Biomedical Engineering 65, no. 2 (2018): 336-343.
  36. Susan Carnell, Leora Benson, Zhishun Wang, Yuankai Huo, Allan Geliebter, and Bradley S. Peterson. “Neural correlates of familial obesity risk and overweight in adolescence.” Neuroimage 159 (2017): 236-247.
  37. Jianping Qiao, Zhishun Wang, Guihu Zhao, Yuankai Huo, Carl L. Herder, Chamonix O. Sikora, and Bradley S. Peterson. “Functional neural circuits that underlie developmental stuttering.” PloS one 12, no. 7 (2017): e0179255.
  38. Jay Desai, Yuankai Huo, Zhishun Wang, Ravi Bansal, Steven CR Williams, David Lythgoe, Fernando O. Zelaya, and Bradley S. Peterson. “Reduced perfusion in Broca’s area in developmental stuttering.” Human brain mapping 38, no. 4 (2017): 1865-1874.
  39. Kristina Denisova, Guihu Zhao, Zhishun Wang, Suzanne Goh, Yuankai Huo, and Bradley S. Peterson. “Cortical interactions during the resolution of information processing demands in autism spectrum disorders.” Brain and behavior 7, no. 2 (2017): e00596.
  40. Yuankai Huo, Andrew J. Asman, Andrew J. Plassard, and Bennett A. Landman. “Simultaneous total intracranial volume and posterior fossa volume estimation using multi‐atlas label fusion.” Human brain mapping 38, no. 2 (2017): 599-616.
  41. Yuankai Huo, Andrew J. Plassard, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, and Bennett A. Landman. “Consistent cortical reconstruction and multi-atlas brain segmentation.” NeuroImage 138 (2016): 197-210.
  42. Qu Tian, Susan M. Resnick, Bennett A. Landman, Yuankai Huo, Vijay K. Venkatraman, Christopher E. Gonzalez, Eleanor M. Simonsick, Michelle D. Shardell, Luigi Ferrucci, and Stephanie A. Studenski. “Lower gray matter integrity is associated with greater lap time variation in high-functioning older adults.” Experimental gerontology 77 (2016): 46-51.
  43. Angela Tseng, Zhishun Wang, Yuankai Huo, Suzanne Goh, James A. Russell, and Bradley S. Peterson. “Differences in neural activity when processing emotional arousal and valence in autism spectrum disorders.” Human brain mapping37, no. 2 (2016): 443-461.
  44. 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 26, no. 1 (2015): 82-91. (* Corresponding Author)
  45. Rachel Marsh, Gregory Z. Tau, Zhishun Wang, Yuankai Huo, Ge Liu, Xuejun Hao, Mark G. Packard, Bradley S. Peterson, and H. Blair Simpson. “Reward-based spatial learning in unmedicated adults with obsessive-compulsive disorder.” American Journal of Psychiatry 172, no. 4 (2015): 383-392.
  46. Alla Landa, Zhishun Wang, James A. Russell, Jonathan Posner, Yunsuo Duan, Alayar Kangarlu, Yuankai Huo, Brian A. Fallon, and Bradley S. Peterson. “Distinct neural circuits subserve interpersonal and non-interpersonal emotions.” Social neuroscience 8, no. 5 (2013): 474-488.
  47. Yudong Zhang, Shuihua Wang, Lenan Wu, and Yuankai Huo. “Multi-channel Diffusion Tensor Image Registration via adaptive chaotic PSO.” JCP 6, no. 4 (2011): 825-829.
  48. Yudong Zhang, Lenan Wu, Yuankai Huo, and Shuihua Wang. “A novel global optimization method–genetic pattern search.” In Applied Mechanics and Materials, vol. 44, pp. 3240-3244. Trans Tech Publications, 2011.
  49. Yuankai Huo, Yudong Zhang, Shuihua Wang, and Lenan Wu. “Diffusion tensor image registration based on demon-affine method and FSGA-BFGS algorithm.” Journal of Convergence Information Technology 6, no. 1 (2011).

High Selective Conference Publications

  1. Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, and Yuankai Huo. “CircleNet: Anchor-Free Glomerulus Detection with Circle Representation.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 35-44. Springer, Cham, 2020.
  2. Roza G. Bayrak, Jorge A. Salas, Yuankai Huo, and Catie Chang. “A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 428-436. Springer, Cham, 2020.
  3. Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, and Adam P. Harrison. “Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 606-615. Springer, Cham, 2020.
  4. Ashwin Raju, Chi-Tung Cheng, Yunakai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, and Adam P. Harrison. “Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.” ECCV (2020).
  5. Fengze Liu, Jingzheng Cai, Yuankai Huo, Le Lu, and Adam P. Harrison. “JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans.” ECCV (2020).
  6. Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W Anderson, Bennett A 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, pp. 573-581. Springer, Cham, 2019.
  7. Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, and Ilwoo Lyu. “Cortical Surface Parcellation using Spherical Convolutional Neural Networks.” In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 501-509. Springer, Cham, 2019.
  8. 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), pp. 698-705. Springer, Cham, 2018.
  9. Zhoubing Xu*, 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), pp. 711-719. Springer, Cham, 2018. (* Co-first Author)
  10. Shunxing Bao, Prasanna Parvarthaneni, Yuankai Huo, Yogesh Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun et al. “Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.” In 2018 IEEE International Conference on Big Data (Big Data), pp. 1337-1346. IEEE, 2018.
  11. Prasanna Parvathaneni, 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 (MICCAI), pp. 638-646. Springer, Cham, 2017.
  12. Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, and 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), pp. 81-88. Springer, Cham, 2016.

Conference Proceedings

  1. Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, and Yuankai Huo. “BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation.” The IEEE International Symposium on Biomedical Imaging (ISBI) (2021).
  2. Can Luo, James G. Terry, Yucheng Tang, Kaiwen Xu, Pierre Massion, Bennett Landman, J. Jeffery Carr, and Yuankai Huo. “Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans.” In Medical Imaging 2021: Image Processing, vol. 11596, p. 1159637. International Society for Optics and Photonics, 2021.
  3. Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mark P de Caestecker, Mattias Heinrich, Jeffery M Spraggins, Yuankai Huo, Bennett A Landman. “Construction of a multi-phase contrast computed tomography kidney atlas.” In Medical Imaging 2021: Image Processing, vol. 11596, p. 115961T. International Society for Optics and Photonics, 2021.
  4. Shunxing Bao, Sophie Chiron, Yucheng Tang, Cody N. Heiser, Austin N. Southard-Smith, Ho Hin Lee, Marisol A. Ramirez, Yuankai Huo, Mary K Washington, Elizabeth A Scoville, Joseph T Roland, Qi Liu, Ken S Lau, Keith T Wilson, Lori A Coburn, Bennett A Landman. “A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data.” In Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, vol. 11601, p. 1160106. International Society for Optics and Photonics, 2021.
  5. Yucheng Tang, Riqiang Gao, Ho Hin Lee, Zhoubing Xu, Brent V. Savoie, Shunxing Bao, Yuankai Huo , Agnes B Fogo, Raymond Harris, Mark P de Caestecker, Jeffery Spraggins, Bennett A Landman “Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.” In Medical Imaging 2021: Image Processing, vol. 11596, p. 115961D. International Society for Optics and Photonics, 2021.
  6. Ye Chen, and Yuankai Huo. “Limitation of acyclic oriented graphs matching as cell tracking accuracy measure when evaluating mitosis.” In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, vol. 11599, p. 1159909. International Society for Optics and Photonics, 2021.
  7. Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, and Yuankai Huo. “GAN based unsupervised segmentation: should we match the exact number of objects.” In Medical Imaging 2021: Image Processing, vol. 11596, p. 1159613. International Society for Optics and Photonics, 2021.
  8. Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, and Bennett A. Landman. “Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.” In Medical Imaging 2021: Image Processing, vol. 11596, p. 115961E. International Society for Optics and Photonics, 2021.
  9. Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han Shizhong Han, Riqiang Gao, Michael R Savona, Richard G Abramson, Yuankai Huo, Bennett A Landman. “Validation and optimization of multi-organ segmentation on clinical imaging archives.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 113132O. International Society for Optics and Photonics, 2020.
  10. Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R Savona, Richard G Abramson, Yuankai Huo, Bennett A Landman. “Outlier guided optimization of abdominal segmentation.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 1131336. International Society for Optics and Photonics, 2020.
  11. Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, and Bennett A. Landman. “Internal-transfer weighting of multi-task learning for lung cancer detection.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 1131323. International Society for Optics and Photonics, 2020.
  12. Camilo Bermudez, Justin Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, and Bennett A. Landman. “Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 113130L. International Society for Optics and Photonics, 2020.
  13. Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R Savona, Richard G Abramson, Yuankai Huo, Bennett A Landman. “Contrast phase classification with a generative adversarial network.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 1131310. International Society for Optics and Photonics, 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.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 113131I. International Society for Optics and Photonics, 2020.
  15. Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, and Bennett A. Landman. “Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.” In Medical Imaging 2020: Image Processing, vol. 11313, p. 113130D. International Society for Optics and Photonics, 2020.
  16. Kurt G. Schilling, Justin Blaber, 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 64 (2019): 62-70.
  17. Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B Paulson, Kim L Sandler, Pierre P Massion, Bennett A Landman “Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.” In International Workshop on Machine Learning in Medical Imaging, pp. 310-318. Springer, Cham, 2019.
  18. Vishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, and A. W. Anderson. “Learning 3D White Matter Microstructure from 2D Histology.” In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp. 186-190. IEEE, 2019.
  19. Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffery Carr, and Bennett A. Landman. “Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning.” In SPIE Medical Imaging 2019: Image Processing, vol. 10949, p. 1094917. International Society for Optics and Photonics, 2019.
  20. Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D’Haese, Peter E. Konrad, Benoit M. Dawant, and Bennett A. Landman. “Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps.” In SPIE Medical Imaging 2019: Image Processing, vol. 10949, p. 1094922. International Society for Optics and Photonics, 2019.
  21. Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, and Bennett A. Landman. “Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network.” In SPIE Medical Imaging 2019: Image Processing, vol. 10949, p. 109492U. International Society for Optics and Photonics, 2019.
  22. Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, and Bennett A. Landman. “Lung cancer detection using co-learning from chest CT images and clinical demographics.” In SPIE Medical Imaging 2019: Image Processing, vol. 10949, p. 109491G. International Society for Optics and Photonics, 2019.
  23. Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard Abramson, and Bennett A. Landman. “Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.” In SPIE Medical Imaging 2019: Image Processing, vol. 10949, p. 1094908. International Society for Optics and Photonics, 2019.
  24. Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber,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 1.5 T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.” In SPIE Medical Imaging 2019: Image Processing, vol. 10949, p. 109490O. International Society for Optics and Photonics, 2019.
  25. Prasanna Parvathaneni, Shunxing Bao, Allison Hainline, Yuankai Huo, Kurt G. Schilling, Hakmook Kang, Owen Williams et al. “Harmonization of White and Gray Matter Features in Diffusion Microarchitecture for Cross-Sectional Studies.” In Computer Aided Intervention and Diagnostics in Clinical and Medical Images (ICCMIA), pp. 21-29. Springer, Cham, 2019.
  26. 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.
  27. 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 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 1217-1220. IEEE, 2018.
  28. Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha Gokhale, and Bennett A. Landman. “A data colocation grid framework for big data medical image processing: backend design.” In SPIE Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, vol. 10579, p. 105790A. International Society for Optics and Photonics, 2018.
  29. Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Justin Blaber, Allison E. Hainline, Hakmook Kang, Neil D. Woodward, and Bennett A. Landman. “Constructing statistically unbiased cortical surface templates using feature-space covariance.” In SPIE Medical Imaging 2018: Image Processing, vol. 10574, p. 1057406. International Society for Optics and Photonics, 2018.
  30. Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu et al. “Fully convolutional neural networks improve abdominal organ segmentation.” In SPIE Medical Imaging 2018: Image Processing, vol. 10574, p. 105742V. International Society for Optics and Photonics, 2018.
  31. Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, and Bennett A. Landman. “Improved stability of whole brain surface parcellation with multi-atlas segmentation.” In SPIE Medical Imaging 2018: Image Processing, vol. 10574, p. 1057438. International Society for Optics and Photonics, 2018.
  32. 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 SPIE Medical Imaging 2018: Image Processing, vol. 10574, p. 1057409. International Society for Optics and Photonics, 2018.
  33. 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.
  34. 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.
  35. Peijun Hu, Yuankai Huo, Dexing Kong, J. Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, and Bennett A. Landman. “Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.” In International Workshop and Challenge on Computational Methods and Clinical Applications in Musculoskeletal Imaging, pp. 25-35. Springer, Cham, 2017.
  36. Shunxing Bao, Frederick D. Weitendorf, Andrew J. Plassard, Yuankai Huo, Aniruddha Gokhale, and Bennett A. Landman. “Theoretical and empirical comparison of big data image processing with apache hadoop and sun grid engine.” In SPIE Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, vol. 10138, p. 101380B. International Society for Optics and Photonics, 2017.
  37. Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.” In SPIE Medical Imaging 2017: Image Processing, vol. 10133, p. 101330A. International Society for Optics and Photonics, 2017.
  38. Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Multi-atlas spleen segmentation on CT using adaptive context learning.” In SPIE Medical Imaging 2017: Image Processing, vol. 10133, p. 1013309. International Society for Optics and Photonics, 2017.
  39. Shuihua Wang, Lenan Wu, Yuankai Huo, Xueyan Wu, Hainan Wang, and Yudong Zhang. “Predict two-dimensional protein folding based on hydrophobic-polar lattice model and chaotic clonal genetic algorithm.” In International Conference on Intelligent Data Engineering and Automated Learning, pp. 10-17. Springer, Cham, 2016.
  40. Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, and Bennett A. Landman. “Combining multi-atlas segmentation with brain surface estimation.” In SPIE Medical Imaging 2016: Image Processing, vol. 9784, p. 97840E. International Society for Optics and Photonics, 2016.
  41. Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, and Bennett A. Landman. “Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation.” In 1 st MICCAI Workshop on Management and Processing of Images for Population Imaging, p. 7. 2015.
  42. Yuankai Huo, Gen Wei, Yudong Zhang, and Lenan Wu. “An adaptive threshold for the Canny Operator of edge detection.” In 2010 International Conference on Image Analysis and Signal Processing, pp. 371-374. IEEE, 2010.

Abstracts

  1. Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, and Yuankai Huo. “ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis.” ISBI 2021.
  2. K. Sandler, R. Gao, Y. Huo, A. Paulson, J. Williams, P. Massion, S. Deppen, and B. Landman. “P2. 11-01 Novel Flexible Longitudinal Machine Learning Coupled with Patient Demographics Improves Lung Cancer Risk Prediction Using Whole Screening CTs.” Journal of Thoracic Oncology 14, no. 10 (2019): S791-S792.
  3. S. Gonzalez-Villa, S. Valverde, M. Cabezas, Y. Huo, A. Oliver, L. Ramio-Torrenta, B. A. Landman, and X. Llado. “An end to end automated pipeline for brain structure segmentation in multiple sclerosis patients.” In MULTIPLE SCLEROSIS JOURNAL, vol. 25, pp. 256-257. 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD, 2019.
  4. Sanja AnticTravis OstermanAneri BalarDhairya LakhaniRina NguyenSara BlockKimberly FiledsBrandon WinstonAnel MuterspaughYuankai HuoRiqiang GaoJoseph LeaderDavid WilsonViswam NairRobert GilliesMatthew SchabathChirayu ShahBennett Landman and Pierre Massion. “Development of a lung nodule cohort with integrated clinical, molecular and imaging biomarkers” Cancer Research. AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA
  5. Andrea T. Shafer, Lori L. Beason-Held, Jacob Ziontz, Bennett Landman, Yuankai Huo, and Susan M. Resnick. “CROSS-SECTIONAL EFFECTS OF AGE, SEX, AND APOE ON FUNCTIONAL CONNECTIVITY OF DEFAULT MODE NETWORK REGIONS IN THE BALTIMORE LONGITUDINAL STUDY OF AGING.” Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association 14, no. 7 (2018): P852. NeuroImage 188 (2019): 572-583.
  6. Owen A. Williams, Yang An, Yuankai Huo, Bennett Landman, and Susan M. Resnick. “SEX DIFFERENCES IN WHITE MATTER MICROSTRUCTURE AND ITS EFFECTS ON EXECUTIVE FUNCTION: RESULTS FROM THE BALTIMORE LONGITUDINAL STUDY OF AGING.” Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association 14, no. 7 (2018): P866.
  7. Vishwesh Nath, Kurt Schilling, Prasanna Parvathaneni, Allison E. Hainline, Yuankai Huo, Justin A. Blaber, Matt Rowe et al. “Tractography Reproducibility Challenge with Empirical Data (TraCED): The 2017 ISMRM Diffusion Study Group Challenge.” BioRxiv (2018): 484543.
  8. Tiziano Colibazzi, Guillermo Horga, Zhishun Wang, Yuankai Huo, Zhen Yang, Cheryl Corcoran, Dongrong Xu et al. “multimodal imaging in individuals at clinical high risk for psychosis.” Early Intervention in Psychiatry 8 (2014): 62.
  9. Rachel Marsh, Yuankai Huo, Ge Lui, Mark J. Packard, Gregory Z. Tau, XueJun Hao, Bradley S. Peterson, Zhishun Wang, and Helen Blair. “Reward-based Spatial Learning in Unmedicated Adults with Obsessive-Compulsive Disorder.” In NEUROPSYCHOPHARMACOLOGY, vol. 38, pp. S135-S136. MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND: NATURE PUBLISHING GROUP, 2013.
  10. Jarod Peterson, James Russell, Yuankai Huo, Angela Tseng, Bradley S. Peterson, and Zhishun Wang. “Sex Differences in the Neural Processing of Emotions within the Theoretical Framework of the Circumplex Model of Affect.” In NEUROPSYCHOPHARMACOLOGY, vol. 38, pp. S591-S592. MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND: NATURE PUBLISHING GROUP, 2013.
  11. Kristina Denisova, Zhishun Wang, Yuankai Huo, and Bradley Peterson. “Neural Correlates of Congruency Sequence Effects in Autism Spectrum Disorders.” Journal of Vision 13, no. 9 (2013): 833-833.
  12. Kristina Denisova, Zhishun Wang, Yuankai Huo, and Bradley S. Peterson. “Neural Correlates of Cognitive Flexibility in Autism Spectrum Disorders.” In BIOLOGICAL PSYCHIATRY, vol. 73, no. 9, pp. 54S-54S. 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA: ELSEVIER SCIENCE INC, 2013.