Reasoning for CPS Education Using Surrogate Simulation Models. - Shunxing Bao; Joe Porter; Aniruddha S. Gokhale (COMPSAC, 2016)

Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing. - Shunxing Bao; Bennett A. Landman; Aniruddha S. Gokhale (IC2E, 2017)

Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. - Shunxing Bao; Andrew J. Plassard; Bennett A. Landman; Aniruddha S. Gokhale (IC2E, 2017)

A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. - Shunxing Bao; Yuankai Huo; Prasanna Parvathaneni; Andrew J. Plassard; Camilo Bermudez; Yuang Yao; Ilwoo Lyu; Aniruddha S. Gokhale; Bennett A. Landman (CoRR, 2017)

Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. - Shunxing Bao; Prasanna Parvathaneni; Yuankai Huo; Yogesh D. Barve; Andrew J. Plassard; Yuang Yao; Hongyang Sun 001; Ilwoo Lyu; David H. Zald; Bennett A. Landman; Aniruddha S. Gokhale (IEEE BigData, 2018)

Adversarial synthesis learning enables segmentation without target modality ground truth. - Yuankai Huo; Zhoubing Xu; Shunxing Bao; Albert Assad; Richard G. Abramson; Bennett A. Landman (ISBI, 2018)

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. - Yuankai Huo; Zhoubing Xu; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (MICCAI (3), 2018)

Fully convolutional neural networks improve abdominal organ segmentation. - 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 (Image Processing, 2018)

Improved stability of whole brain surface parcellation with multi-atlas segmentation. - Yuankai Huo; Shunxing Bao; Prasanna Parvathaneni; Bennett A. Landman (Image Processing, 2018)

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. - Yuankai Huo; Zhoubing Xu; Shunxing Bao; Camilo Bermudez; Andrew J. Plassard; Jiaqi Liu; Yuang Yao; Albert Assad; Richard G. Abramson; Bennett A. Landman (Image Processing, 2018)

Towards Portable Large-Scale Image Processing with High-Performance Computing. - 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; et al. (J. Digit. Imaging, 2018)

Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing. - Shunxing Bao (2018)

STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. - Anirban Bhattacharjee; Yogesh D. Barve; Shweta Khare; Shunxing Bao; Zhuangwei Kang; Aniruddha Gokhale; Thomas Damiano (IEEE BigData, 2019)

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. - 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 (MLMI@MICCAI, 2019)

Cortical Surface Parcellation Using Spherical Convolutional Neural Networks. - 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 (MICCAI (3), 2019)

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. - Yuankai Huo; James G. Terry; Jiachen Wang; Vishwesh Nath; Camilo Bermudez; Shunxing Bao; Prasanna Parvathaneni; John Jeffrey Carr; Bennett A. Landman (Image Processing, 2019)

Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network. - Cailey I. Kerley; Yuankai Huo; Shikha Chaganti; Shunxing Bao; Mayur B. Patel; Bennett A. Landman (Image Processing, 2019)

Lung cancer detection using co-learning from chest CT images and clinical demographics. - Jiachen Wang; Riqiang Gao; Yuankai Huo; Shunxing Bao; Yunxi Xiong; Sanja L. Antic; Travis J. Osterman; Pierre P. Massion; Bennett A. Landman (Image Processing, 2019)

Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks. - Anirban Bhattacharjee; Yogesh D. Barve; Shweta Khare; Shunxing Bao; Aniruddha Gokhale; Thomas Damiano (OpML, 2019)

Stochastic tissue window normalization of deep learning on computed tomography. - Yuankai Huo; Yucheng Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Shunxing Bao; Smita De; James G. Terry; John Jeffrey Carr; Richard G. Abramson; Bennett A. Landman (CoRR, 2019)

3D whole brain segmentation using spatially localized atlas network tiles. - Yuankai Huo; Zhoubing Xu; Yunxi Xiong; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (NeuroImage, 2019)

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. - 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 (IEEE Trans. Medical Imaging, 2019)

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. - Yuankai Huo; Zhoubing Xu; Hyeonsoo Moon; Shunxing Bao; Albert Assad; Tamara K. Moyo; Michael R. Savona; Richard G. Abramson; Bennett A. Landman (IEEE Trans. Medical Imaging, 2019)

Cost-effective Hardware Accelerator Recommendation for Edge Computing. - Xingyu Zhou 010; Robert Canady; Shunxing Bao; Aniruddha Gokhale (HotEdge, 2020)

Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. - 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 (ISBI, 2020)

Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. - 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 (ML-CDS/CLIP@MICCAI, 2020)

Multi-path x-D recurrent neural networks for collaborative image classification. - 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 (Neurocomputing, 2020)

Time-distanced gates in long short-term memory networks. - 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 (Medical Image Anal., 2020)

A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT. - Ziran Min; Hongyang Sun 001; Shunxing Bao; Aniruddha S. Gokhale; Swapna S. Gokhale (ACSOS, 2021)

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. - 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 (COMPAY@MICCAI, 2021)

Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract. - Zhuangwei Kang; Yogesh D. Barve; Shunxing Bao; Abhishek Dubey; Aniruddha Gokhale (IoTDI, 2021)

Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (ISBI, 2021)

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. - Ruining Deng; Quan Liu 002; Shunxing Bao; Aadarsh Jha; Catie Chang; Bryan A. Millis; Matthew J. Tyska; Yuankai Huo (DGM4MICCAI/DALI@MICCAI, 2021)

Pancreas CT Segmentation by Predictive Phenotyping. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Qi Yang 004; Xin Yu 010; Yuyin Zhou; Shunxing Bao; Yuankai Huo; Jeffrey M. Spraggins; Jack Virostko; Zhoubing Xu; Bennett A. Landman (MICCAI (1), 2021)

Compound Figure Separation of Biomedical Images with Side Loss. - Tianyuan Yao; Chang Qu; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; Bennett A. Landman; Catie Chang; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

Construction of a multi-phase contrast computed tomography kidney atlas. - 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 (Image Processing, 2021)

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. - 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 (Image Processing, 2021)

Development and characterization of a chest CT atlas. - 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 (Image Processing, 2021)

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Bennett A. Landman; Yuankai Huo (CoRR, 2021)

High-resolution 3D abdominal segmentation with random patch network fusion. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Shunxing Bao; Ilwoo Lyu; et al. (Medical Image Anal., 2021)

Body Part Regression With Self-Supervision. - Yucheng Tang; Riqiang Gao; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Shunxing Bao; Ilwoo Lyu; Yuankai Huo; Bennett A. Landman (IEEE Trans. Medical Imaging, 2021)

FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning. - Shuang Zhou; Yuankai Huo; Shunxing Bao; Bennett A. Landman; Aniruddha Gokhale (ACSOS, 2022)

Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. - Xingyu Zhou 010; Robert Canady; Yi Li; Shunxing Bao; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (IC2E, 2022)

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. - Can Cui 006; 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; et al. (Computer-Aided Diagnosis, 2022)

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Jia Li 027; Can Cui 006; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Ho Hin Lee; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; Lori A. Coburn; Keith T. Wilson; et al. (MOVI@MICCAI, 2022)

Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (MMMI@MICCAI, 2022)

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (MICCAI (8), 2022)

Inpainting missing tissue in multiplexed immunofluorescence imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Qi Yang 004; Xin Yu 002; Sophie Chiron; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (Digital and Computational Pathology, 2022)

Accelerating 2D abdominal organ segmentation with active learning. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2022)

Quantification of muscle, bones, and fat on single slice thigh CT. - Qi Yang 004; Xin Yu 010; Ho Hin Lee; Yucheng Tang; Shunxing Bao; Kristofer S. Gravenstein; Ann Zenobia Moore; Sokratis Makrogiannis; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2022)

Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Yan Xu; Qi Yang 004; Xin Yu 010; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Mattias P. Heinrich; Yuankai Huo; et al. (Image Processing, 2022)

Multi-contrast computed tomography healthy kidney atlas. - 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 (Comput. Biol. Medicine, 2022)

Characterizing Renal Structures with 3D Block Aggregate Transformers. - Xin Yu 010; Yucheng Tang; Yinchi Zhou; Riqiang Gao; Qi Yang 004; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Yuankai Huo; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; et al. (CoRR, 2022)

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. - Ho Hin Lee; Yucheng Tang; Riqiang Gao; Qi Yang 004; Xin Yu 010; Shunxing Bao; James G. Terry; John Jeffrey Carr; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. - Tianyuan Yao; Chang Qu; Jun Long; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Zuhayr Asad; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; et al. (CoRR, 2022)

Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. - Ho Hin Lee; Yucheng Tang; Han Liu; Yubo Fan; Leon Y. Cai; Qi Yang 004; Xin Yu 010; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. - Qi Yang 004; Xin Yu 010; Ho Hin Lee; Leon Y. Cai; Kaiwen Xu; Shunxing Bao; Yuankai Huo; Ann Zenobia Moore; Sokratis Makrogiannis; Luigi Ferrucci; Bennett A. Landman (CoRR, 2022)

Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. - 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; et al. (J. Digit. Imaging, 2022)

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. - 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; et al. (J. Digit. Imaging, 2022)

Learning white matter subject-specific segmentation from structural MRI - AFQclipped. - Qi Yang 004; Shunxing Bao; Kurt Schilling; Bennett A. Landman (Zenodo, 2022)

Learning white matter subject-specific segmentation from structural MRI - recobundles. - Qi Yang 004; Shunxing Bao; Kurt Schilling; Bennett A. Landman (Zenodo, 2022)

Learning white matter subject-specific segmentation from structural MRI - xtract. - Qi Yang 004; Shunxing Bao; Kurt Schilling; Bennett A. Landman (Zenodo, 2022)

Learning white matter subject-specific segmentation from structural MRI - tracula. - Qi Yang 004; Shunxing Bao; Kurt Schilling; Bennett A. Landman (Zenodo, 2022)

Learning white matter subject-specific segmentation from structural MRI - AFQ. - Qi Yang 004; Shunxing Bao; Kurt Schilling; Bennett A. Landman (Zenodo, 2022)

Learning white matter subject-specific segmentation from structural MRI - TractSeg. - Qi Yang 004; Shunxing Bao; Kurt Schilling; Bennett A. Landman (Zenodo, 2022)

SLANT-TICV (Skull stripped): Generalizing deep learning brain segmentation for skull removal and intracranial measurements. - Liu Yue; Karthik Ramadass; Michael Kim; Chenyu Gao; Adam M. Saunders; Shunxing Bao; Yuankai Huo; Ilwoo Lyu; Bennett A. Landman (Zenodo, 2022)

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. - Ho Hin Lee; Shunxing Bao; Yuankai Huo; Bennett A. Landman (ICLR, 2023)

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. - Can Cui 006; Yaohong Wang; Shunxing Bao; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Lori A. Coburn; Keith T. Wilson; et al. (MILLanD@MICCAI, 2023)

Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Thomas Z. Li; Yuankai Huo; Xenofon D. Koutsoukos; Bennett A. Landman (MICCAI (4), 2023)

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. - Shunxing Bao; Ho Hin Lee; Qi Yang 004; Lucas Walker Remedios; Ruining Deng; Can Cui 006; Leon Yichen Cai; Kaiwen Xu; Xin Yu 010; Sophie Chiron; Yike Li; Nathan Heath Patterson; et al. (MIDL, 2023)

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. - Shunxing Bao; Can Cui 006; Jia Li 027; Yucheng Tang; Ho Hin Lee; Ruining Deng; Lucas W. Remedios; Xin Yu 010; Qi Yang 004; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; et al. (Digital and Computational Pathology, 2023)

Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data. - Can Cui 006; Shunxing Bao; Jia Li 027; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Sophie Chiron; Ken S. Lau; Yaohong Wang; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; et al. (Digital and Computational Pathology, 2023)

Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. - Lucas W. Remedios; Shunxing Bao; Cailey I. Kerley; Leon Y. Cai; François Rheault; Ruining Deng; Can Cui 006; Sophie Chiron; Ken S. Lau; Joseph T. Roland; Mary K. Washington; Lori A. Coburn; et al. (Digital and Computational Pathology, 2023)

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Riqiang Gao; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2023)

Unsupervised registration refinement for generating unbiased eye atlas. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Qi Yang 004; Xin Yu 010; Kevin L. Schey; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Image Processing, 2023)

Deep whole brain segmentation of 7T structural MRI. - Karthik Ramadass; Xin Yu 010; 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; et al. (Image Processing, 2023)

Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection. - Yue Liu 003; Shunxing Bao; Dario J. Englot; Victoria L. Morgan; Warren D. Taylor; Ying Wei 007; Ipek Oguz; Bennett A. Landman; Ilwoo Lyu (Comput. Biol. Medicine, 2023)

DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning. - Zhuangwei Kang; Yogesh D. Barve; Shunxing Bao; Abhishek Dubey; Aniruddha Gokhale (CoRR, 2023)

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. - Ruining Deng; Can Cui 006; Quan Liu 002; Tianyuan Yao; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Lee E. Wheless; Lori A. Coburn; Keith T. Wilson; Yaohong Wang; Shilin Zhao; et al. (CoRR, 2023)

Exploring shared memory architectures for end-to-end gigapixel deep learning. - Lucas W. Remedios; Leon Y. Cai; Samuel W. Remedios; Karthik Ramadass; Aravind R. Krishnan; Ruining Deng; Can Cui 006; Shunxing Bao; Lori A. Coburn; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas. - Yinchi Zhou; Ho Hin Lee; Yucheng Tang; Xin Yu 010; Qi Yang 004; Shunxing Bao; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. - Can Cui 006; Ruining Deng; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Lucas W. Remedios; Yucheng Tang; Yuankai Huo (CoRR, 2023)

Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology. - Franklin Hu; Ruining Deng; Shunxing Bao; Haichun Yang; Yuankai Huo (CoRR, 2023)

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. - Haoju Leng; Ruining Deng; Shunxing Bao; Dazheng Fang; Bryan A. Millis; Yucheng Tang; Haichun Yang; Xiao Wang 004; Yifan Peng 002; Lipeng Wan; Yuankai Huo (CoRR, 2023)

Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning. - Xueyuan Li; Ruining Deng; Yucheng Tang; Shunxing Bao; Haichun Yang; Yuankai Huo (CoRR, 2023)

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. - Shunxing Bao; Sichen Zhu; Vasantha L. Kolachala; Lucas W. Remedios; Yeonjoo Hwang; Yutong Sun; Ruining Deng; Can Cui 006; Yike Li; Jia Li 027; Joseph T. Roland; Qi Liu 024; et al. (CoRR, 2023)

Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers. - Muhao Liu; Chenyang Qi; Shunxing Bao; Quan Liu 002; Ruining Deng; Yu Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2023)

Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2023)

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. - 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 (CoRR, 2023)

DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. - Ho Hin Lee; Quan Liu 002; Qi Yang 004; Xin Yu 010; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. - Qi Yang 004; Xin Yu 010; Shunxing Bao; Bennett A. Landman (Zenodo, 2023)

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Yuankai Huo (IEEE J. Biomed. Health Informatics, 2023)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; 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; et al. (Medical Image Anal., 2023)

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. - Shunxing Bao; Junlin Guo; Ho Hin Lee; Ruining Deng; Can Cui 006; Lucas W. Remedios; Quan Liu 002; Qi Yang 004; Kaiwen Xu; Xin Yu 010; Jia Li 027; Yike Li; et al. (ISBI, 2024)

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Juming Xiong; Shunxing Bao; Hao Li 108; Mengmeng Yin; Yu Wang; Shilin Zhao; Yucheng Tang; Haichun Yang; et al. (MICCAI (4), 2024)

Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. - Tianyuan Yao; Derek B. Archer; Zhiyuan Li 012; Leon Y. Cai; Praitayini Kanakaraj; Nancy Newlin; Quan Liu 002; Ruining Deng; Can Cui 006; Shunxing Bao; Kurt Schilling; Bennett A. Landman; et al. (CDMRI@MICCAI, 2024)

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. - Ho Hin Lee; Adam M. Saunders; Michael E. Kim; Samuel W. Remedios; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Chloe Cho; Louise A. Mawn; Tonia S. Rex; Kevin L. Schey; et al. (CoRR, 2024)

Nucleus subtype classification using inter-modality learning. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Can Cui 006; Jia Li 027; Qi Liu 024; Ken S. Lau; Joseph T. Roland; et al. (CoRR, 2024)

Field-of-View Extension for Diffusion MRI via Deep Generative Models. - 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; et al. (CoRR, 2024)

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. - Xin Yu 010; Qi Yang 004; Han Liu; Ho Hin Lee; Yucheng Tang; Lucas W. Remedios; Michael E. Kim; Shunxing Bao; Ann Xenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2024)

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. - 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 006; Jia Li 027; Qi Liu 024; et al. (CoRR, 2024)

Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient. - Yanfan Zhu; Yash Singh; Khaled Younis; Shunxing Bao; Yuankai Huo (CoRR, 2024)

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. - 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 012; Shunxing Bao; et al. (CoRR, 2024)

Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI. - 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 (CoRR, 2024)

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI. - Zhiyuan Li 012; 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; et al. (CoRR, 2024)

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. - 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; et al. (CoRR, 2024)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)

Cross-scale multi-instance learning for pathological image diagnosis. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (Medical Image Anal., 2024)

Secondary use of radiological imaging data: Vanderbilt's ImageVU approach. - 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; et al. (J. Biomed. Informatics, 2025)

Scale-up Unlearnable Examples Learning with High-Performance Computing. - Yanfan Zhu; Isaac Lyngaas; Muralikrishnan Gopalakrishnan Meena; Mary Ellen Koran; Bradley A. Malin; Daniel Moyer; Shunxing Bao; Anuj J. Kapadia; Xiao Wang 004; Bennett A. Landman; Yuankai Huo (CoRR, 2025)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. - Lianrui Zuo; Kaiwen Xu; Dingjie Su; Xin Yu 010; Aravind R. Krishnan; Yihao Liu 003; Shunxing Bao; Thomas Z. Li; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (CoRR, 2025)

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices. - Lianrui Zuo; Xin Yu 010; Dingjie Su; Kaiwen Xu; Aravind R. Krishnan; Yihao Liu 003; Shunxing Bao; Fabien Maldonado; Luigi Ferrucci; Bennett A. Landman (CoRR, 2025)

Enhanced Feature-based Image Stitching for Endoscopic Videos in Pediatric Eosinophilic Esophagitis. - Juming Xiong; Muyang Li; Ruining Deng; Tianyuan Yao; Shunxing Bao; Regina N. Tyree; Girish Hiremath; Yuankai Huo (CoRR, 2025)

Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2025)

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. - 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; et al. (CoRR, 2025)

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts. - 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; et al. (CoRR, 2025)

Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging. - 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; et al. (CoRR, 2025)

Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model. - Xueyuan Li; Can Cui 006; Ruining Deng; Yucheng Tang; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Naweed Chowdhury; Haichun Yang; Yuankai Huo (CoRR, 2025)