Journal Publications

  1. 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)
  2. 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.
  3. 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).
  4. 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).
  5. 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)
  6. 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).
  7. 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.
  8. 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).
  9. 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).
  10. 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.
  11. 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).
  12. 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).
  13. 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).
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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)
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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. 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.
  2. 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)
  3. 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.
  4. 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.
  5. 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 Publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.