Shunxing Bao - RankMe

138 papers A* 1B 19Journal 85Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. CoRR Lianrui Zuo, Kaiwen Xu, Dingjie Su, Xin Yu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Thomas Z. Li, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2025	J	`jnl`	Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts. CoRR Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Alvin C. Powers, Bennett A. Landman, John Virostko
2025	J	`jnl`	Enhanced Feature-based Image Stitching for Endoscopic Videos in Pediatric Eosinophilic Esophagitis. CoRR Juming Xiong, Muyang Li, Ruining Deng, Tianyuan Yao, Shunxing Bao, Regina N. Tyree, Girish Hiremath, Yuankai Huo
2025	J	`jnl`	Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model. CoRR Xueyuan Li, Can Cui, Ruining Deng, Yucheng Tang, Quan Liu, Tianyuan Yao, Shunxing Bao, Naweed Chowdhury, Haichun Yang, Yuankai Huo
2025	J	`jnl`	Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging. CoRR Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko
2025	J	`jnl`	Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. CoRR Aravind R. Krishnan, Thomas Z. Li, Lucas W. Remedios, Michael E. Kim, Chenyu Gao, Gaurav Rudravaram, Elyssa M. McMaster, Adam M. Saunders, Shunxing Bao, Kaiwen Xu, Lianrui Zuo, Kim L. Sandler, Fabien Maldonado, Yuankai Huo, Bennett A. Landman
2025	J	`jnl`	Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging. CoRR Ho Hin Lee, Quan Liu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2025	J	`jnl`	Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices. CoRR Lianrui Zuo, Xin Yu, Dingjie Su, Kaiwen Xu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Fabien Maldonado, Luigi Ferrucci, Bennett A. Landman
2025	J	`jnl`	Scale-up Unlearnable Examples Learning with High-Performance Computing. CoRR Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo
2025	J	`jnl`	Secondary use of radiological imaging data: Vanderbilt's ImageVU approach. J. Biomed. Informatics David S. Smith, Karthik Ramadass, Laura M. Jones, Jennifer Morse, Daniel Fabbri, Joseph R. Coco, Shunxing Bao, Melissa A. Basford, Peter J. Embi, Reed A. Omary, John C. Gore, Jill M. Pulley, Bennett A. Landman
2024	J	`jnl`	Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. CoRR Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman
2024	J	`jnl`	Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2024	J	`jnl`	Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2024	J	`jnl`	Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. CoRR Xin Yu, Qi Yang, Han Liu, Ho Hin Lee, Yucheng Tang, Lucas W. Remedios, Michael E. Kim, Shunxing Bao, Ann Xenobia Moore, Luigi Ferrucci, Bennett A. Landman
2024	J	`jnl`	Field-of-View Extension for Diffusion MRI via Deep Generative Models. CoRR Chenyu Gao, Shunxing Bao, Michael E. Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman, Zhiyuan Li
2024	—	`conf`	HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. MICCAI (4) Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo
2024	J	`jnl`	HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. CoRR Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo
2024	J	`jnl`	Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI. CoRR Lucas W. Remedios, Han Liu, Samuel W. Remedios, Lianrui Zuo, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Alvin C. Powers, John Virostko, Bennett A. Landman
2024	—	`conf`	Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2024	J	`jnl`	Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI. CoRR Zhiyuan Li, Tianyuan Yao, Praitayini Kanakaraj, Chenyu Gao, Shunxing Bao, Lianrui Zuo, Michael E. Kim, Nancy R. Newlin, Gaurav Rudravaram, Nazirah Mohd Khairi, Yuankai Huo, Kurt G. Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman
2024	J	`jnl`	Nucleus subtype classification using inter-modality learning. CoRR Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2024	J	`jnl`	Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient. CoRR Yanfan Zhu, Yash Singh, Khaled Younis, Shunxing Bao, Yuankai Huo
2024	J	`jnl`	Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. CoRR Michael E. Kim, Chenyu Gao, Karthik Ramadass, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, David A. Bennett, Sid OBryant, Robert C. Barber, Derek B. Archer, Timothy J. Hohman, Shunxing Bao, Zhiyuan Li, Bennett A. Landman, Nazirah Mohd Khairi, Alzheimer's Disease Neuroimaging Initiative, HABSHD Study Team
2024	J	`jnl`	Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. CoRR Michael E. Kim, Karthik Ramadass, Chenyu Gao, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, Derek B. Archer, Timothy J. Hohman, Zhiyuan Li, Shunxing Bao, Bennett A. Landman, Nazirah Mohd Khairi
2024	J	`jnl`	Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. CoRR Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman
2024	—	`conf`	Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. CDMRI@MICCAI Tianyuan Yao, Derek B. Archer, Zhiyuan Li, Leon Y. Cai, Praitayini Kanakaraj, Nancy Newlin, Quan Liu, Ruining Deng, Can Cui, Shunxing Bao, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023	A*	`conf`	3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. ICLR Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2023	J	`jnl`	All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. CoRR Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo
2023	—	`conf`	Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning. CoRR Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
2023	J	`jnl`	Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. CoRR Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2023	B	`conf`	Deep whole brain segmentation of 7T structural MRI. Image Processing Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey I. Kerley, Micah D'Archangel, Laura A. Barquero, Allen T. Newton, Isabel Gauthier, Rankin W. McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman
2023	J	`jnl`	DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. CoRR Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2023	J	`jnl`	Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration. CoRR Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2023	J	`jnl`	Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers. CoRR Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
2023	J	`jnl`	Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman
2023	—	`conf`	Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. CoRR Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection. Comput. Biol. Medicine Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu
2023	J	`jnl`	High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. CoRR Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo
2023	—	`conf`	Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data. Digital and Computational Pathology Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo
2023	J	`jnl`	Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman
2023	J	`jnl`	Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning. CoRR Xueyuan Li, Ruining Deng, Yucheng Tang, Shunxing Bao, Haichun Yang, Yuankai Huo
2023	B	`conf`	Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. Image Processing Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2023	J	`jnl`	Multi-Contrast Computed Tomography Atlas of Healthy Pancreas. CoRR Yinchi Zhou, Ho Hin Lee, Yucheng Tang, Xin Yu, Qi Yang, Shunxing Bao, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2023	J	`jnl`	Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology. CoRR Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, Yuankai Huo
2023	—	`conf`	Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. Digital and Computational Pathology Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2023	J	`jnl`	Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman
2023	—	`conf`	Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman
2023	J	`jnl`	Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo
2023	J	`jnl`	Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. IEEE J. Biomed. Health Informatics Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo
2023	—	`conf`	Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. Digital and Computational Pathology Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2023	B	`conf`	Unsupervised registration refinement for generating unbiased eye atlas. Image Processing Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Kevin L. Schey, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2022	J	`jnl`	3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. CoRR Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2022	B	`conf`	Accelerating 2D abdominal organ segmentation with active learning. Image Processing Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022	J	`jnl`	Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. CoRR Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2022	J	`jnl`	Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
2022	J	`jnl`	Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo
2022	—	`conf`	Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2022	J	`jnl`	Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2022	—	`conf`	FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning. ACSOS Shuang Zhou, Yuankai Huo, Shunxing Bao, Bennett A. Landman, Aniruddha Gokhale
2022	B	`conf`	Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. IC2E Xingyu Zhou, Robert Canady, Yi Li, Shunxing Bao, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale
2022	—	`conf`	Inpainting missing tissue in multiplexed immunofluorescence imaging. Digital and Computational Pathology Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2022	J	`jnl`	Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. J. Digit. Imaging Shunxing Bao, Brian D. Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman
2022	J	`jnl`	Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation. CoRR Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022	J	`jnl`	Multi-contrast computed tomography healthy kidney atlas. Comput. Biol. Medicine Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2022	—	`conf`	Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Computer-Aided Diagnosis Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
2022	—	`conf`	MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo
2022	J	`jnl`	Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. CoRR Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman
2022	B	`conf`	Quantification of muscle, bones, and fat on single slice thigh CT. Image Processing Qi Yang, Xin Yu, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kristofer S. Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman
2022	—	`conf`	Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. MICCAI (8) Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022	J	`jnl`	Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. CoRR Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022	J	`jnl`	Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. CoRR Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman
2022	B	`conf`	Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. Image Processing Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, Bennett A. Landman
2022	J	`jnl`	UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2022	J	`jnl`	Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. J. Digit. Imaging Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman
2021	—	`conf`	A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT. ACSOS Ziran Min, Hongyang Sun, Shunxing Bao, Aniruddha S. Gokhale, Swapna S. Gokhale
2021	J	`jnl`	Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. CoRR Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo
2021	J	`jnl`	Body Part Regression With Self-Supervision. IEEE Trans. Medical Imaging 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
2021	—	`conf`	CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. DGM4MICCAI/DALI@MICCAI Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
2021	—	`conf`	Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo
2021	J	`jnl`	Compound Figure Separation of Biomedical Images with Side Loss. CoRR Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo
2021	—	`conf`	Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract. IoTDI Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
2021	B	`conf`	Construction of a multi-phase contrast computed tomography kidney atlas. Image Processing Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2021	B	`conf`	Development and characterization of a chest CT atlas. Image Processing Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
2021	J	`jnl`	High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Anal. 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, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
2021	—	`conf`	Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman
2021	—	`conf`	Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. COMPAY@MICCAI Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2021	J	`jnl`	Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. CoRR Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2021	—	`conf`	Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. ISBI Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2021	B	`conf`	Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. Image Processing 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, Jeffrey M. Spraggins, Bennett A. Landman
2020	—	`conf`	Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. ISBI Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, Ilwoo Lyu
2020	J	`jnl`	CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. CoRR Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
2020	—	`conf`	Cost-effective Hardware Accelerator Recommendation for Edge Computing. HotEdge Xingyu Zhou, Robert Canady, Shunxing Bao, Aniruddha Gokhale
2020	J	`jnl`	Development and Characterization of a Chest CT Atlas. CoRR 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
2020	J	`jnl`	Multi-Contrast Computed Tomography Healthy Kidney Atlas. CoRR Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2020	J	`jnl`	Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020	—	`conf`	Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. ML-CDS/CLIP@MICCAI Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John Jeffrey Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman
2020	J	`jnl`	RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior. CoRR Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020	J	`jnl`	Time-distanced gates in long short-term memory networks. Medical Image Anal. Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2019	J	`jnl`	3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles. CoRR Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
2019	J	`jnl`	3D whole brain segmentation using spatially localized atlas network tiles. NeuroImage Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
2019	B	`conf`	Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. Image Processing Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman
2019	—	`conf`	Cortical Surface Parcellation Using Spherical Convolutional Neural Networks. MICCAI (3) Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, Ilwoo Lyu
2019	—	`conf`	Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI 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
2019	J	`jnl`	Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. CoRR 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
2019	J	`jnl`	Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics. CoRR Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman
2019	B	`conf`	Lung cancer detection using co-learning from chest CT images and clinical demographics. Image Processing Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman
2019	B	`conf`	Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network. Image Processing Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman
2019	—	`conf`	STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. IEEE BigData Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, Thomas Damiano
2019	J	`jnl`	Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE Trans. Medical Imaging Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman
2019	J	`jnl`	Stochastic tissue window normalization of deep learning on computed tomography. CoRR Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, John Jeffrey Carr, Richard G. Abramson, Bennett A. Landman
2019	J	`jnl`	Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks. CoRR Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano
2019	—	`conf`	Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks. OpML Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano
2019	J	`jnl`	SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. IEEE Trans. Medical Imaging Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman
2018	—	`conf`	Adversarial synthesis learning enables segmentation without target modality ground truth. ISBI Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman
2018	—	`—`	Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing. Shunxing Bao
2018	J	`jnl`	Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning. CoRR Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman
2018	B	`conf`	Fully convolutional neural networks improve abdominal organ segmentation. Image Processing Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Melissa A. Hilmes, Bennett A. Landman
2018	B	`conf`	Improved stability of whole brain surface parcellation with multi-atlas segmentation. Image Processing Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman
2018	J	`jnl`	Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network. CoRR Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman
2018	—	`conf`	Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. MICCAI (3) Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
2018	J	`jnl`	Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. CoRR Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
2018	J	`jnl`	Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks. CoRR Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman
2018	B	`conf`	Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. Image Processing Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman
2018	J	`jnl`	SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. CoRR Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman
2018	—	`conf`	Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh D. Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman, Aniruddha S. Gokhale
2018	J	`jnl`	Towards Portable Large-Scale Image Processing with High-Performance Computing. J. Digit. Imaging Yuankai Huo, Justin A. Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman
2017	J	`jnl`	A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. CoRR Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha S. Gokhale, Bennett A. Landman
2017	J	`jnl`	Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth. CoRR Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman
2017	B	`conf`	Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing. IC2E Shunxing Bao, Bennett A. Landman, Aniruddha S. Gokhale
2017	B	`conf`	Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IC2E Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale
2017	J	`jnl`	Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation. CoRR Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman
2017	J	`jnl`	Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks. CoRR Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman
2016	B	`conf`	Reasoning for CPS Education Using Surrogate Simulation Models. COMPSAC Shunxing Bao, Joe Porter, Aniruddha S. Gokhale