Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI. - Vishwesh Nath; Kurt G. Schilling; Justin A. Blaber; Zhaohua Ding; Adam W. Anderson; Bennett A. Landman (Image Processing, 2017)

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging. - Kurt G. Schilling; Vishwesh Nath; Justin A. Blaber; Robert L. Harrigan; Zhaohua Ding; Adam W. Anderson; Bennett A. Landman (Image Processing, 2017)

Evaluation of inter-site bias and variance in diffusion-weighted MRI. - Allison E. Hainline; Vishwesh Nath; Prasanna Parvathaneni; Justin A. Blaber; Baxter P. Rogers; Allen T. Newton; Jeffrey Luci; Heidi Edmonson; Hakmook Kang; Bennett A. Landman (Image Processing, 2018)

SHARD: spherical harmonic-based robust outlier detection for HARDI methods. - Vishwesh Nath; Kurt G. Schilling; Allison E. Hainline; Prasanna Parvathaneni; Justin A. Blaber; Ilwoo Lyu; Adam W. Anderson; Hakmook Kang; Allen T. Newton; Baxter P. Rogers; Bennett A. Landman (Image Processing, 2018)

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. - Vishwesh Nath; Prasanna Parvathaneni; Colin B. Hansen; Allison E. Hainline; Camilo Bermudez; Samuel Remedios; Justin A. Blaber; Kurt G. Schilling; Ilwoo Lyu; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; et al. (CoRR, 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)

Learning 3D White Matter Microstructure from 2D Histology. - Vishwesh Nath; Kurt G. Schilling; Samuel Remedios; Roza G. Bayrak; Yurui Gao; Justin A. Blaber; Yuankai Huo; Bennett A. Landman; Adam W. Anderson (ISBI, 2019)

Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. - 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 (MICCAI (3), 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)

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. - 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; et al. (Image Processing, 2019)

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. - Samuel Remedios; Snehashis Roy; Justin A. Blaber; Camilo Bermudez; Vishwesh Nath; Mayur B. Patel; John A. Butman; Bennett A. Landman; Dzung L. Pham (Image Processing, 2019)

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. - Vishwesh Nath; Ilwoo Lyu; Kurt G. Schilling; Prasanna Parvathaneni; Colin B. Hansen; Yucheng Tang; Yuankai Huo; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; Adam W. Anderson; Bennett A. Landman (CoRR, 2019)

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. - Vishwesh Nath; Kurt G. Schilling; Colin B. Hansen; Prasanna Parvathaneni; Allison E. Hainline; Camilo Bermudez; Andrew J. Plassard; Vaibhav A. Janve; Yurui Gao; Justin A. Blaber; Iwona Stepniewska; Adam W. Anderson; et al. (CoRR, 2019)

Limits to anatomical accuracy of diffusion tractography using modern approaches. - Kurt G. Schilling; Vishwesh Nath; Colin B. Hansen; Prasanna Parvathaneni; Justin A. Blaber; Yurui Gao; Peter Neher; Dogu Baran Aydogan; Yonggang Shi; Mario Ocampo-Pineda; Simona Schiavi; Alessandro Daducci; et al. (NeuroImage, 2019)

Semi-supervised Machine Learning with MixMatch and Equivalence Classes. - Colin B. Hansen; Vishwesh Nath; Riqiang Gao; Camilo Bermudez; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Jeffrey D. Blume; Thomas A. Lasko; Bennett A. Landman (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI. - Vishwesh Nath; Sudhir K. Pathak; Kurt G. Schilling; Walt Schneider; Bennett A. Landman (Image Processing, 2020)

The Value of Nullspace Tuning Using Partial Label Information. - Colin B. Hansen; Vishwesh Nath; Diego A. Mesa; Yuankai Huo; Bennett A. Landman; Thomas A. Lasko (CoRR, 2020)

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. - Ali Hatamizadeh; Vishwesh Nath; Yucheng Tang; Dong Yang 005; Holger R. Roth; Daguang Xu (BrainLes@MICCAI (1), 2021)

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. - Vishwesh Nath; Dong Yang 005; Ali Hatamizadeh; Anas A. Abidin; Andriy Myronenko; Holger R. Roth; Daguang Xu (MICCAI (3), 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)

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. - Alberto De Luca; Andrada Ianus; Alexander Leemans; Marco Palombo; Noam Shemesh; Hui Zhang 005; Daniel C. Alexander; Markus Nilsson; Martijn Froeling; Geert Jan Biessels; Mauro Zucchelli; Matteo Frigo; et al. (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. - Vishwesh Nath; Dong Yang 005; Bennett A. Landman; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 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)

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. - Cheng Peng 008; Andriy Myronenko; Ali Hatamizadeh; Vishwesh Nath; Md Mahfuzur Rahman Siddiquee; Yufan He; Daguang Xu; Rama Chellappa; Dong Yang 005 (CVPR, 2022)

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. - Yucheng Tang; Dong Yang 005; Wenqi Li 001; Holger R. Roth; Bennett A. Landman; Daguang Xu; Vishwesh Nath; Ali Hatamizadeh (CVPR, 2022)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. - Vishwesh Nath; Dong Yang 005; Holger R. Roth; Daguang Xu (MICCAI (8), 2022)

Effective hyperparameter optimization with proxy data for multi-organ segmentation. - Chen Shen 002; Holger R. Roth; Vishwesh Nath; Yuichiro Hayashi; Masahiro Oda 001; Kazunari Misawa; Kensaku Mori (Image Processing, 2022)

UNETR: Transformers for 3D Medical Image Segmentation. - Ali Hatamizadeh; Yucheng Tang; Vishwesh Nath; Dong Yang 005; Andriy Myronenko; Bennett A. Landman; Holger R. Roth; Daguang Xu (WACV, 2022)

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. - Andres Diaz-Pinto; Sachidanand Alle; Alvin Ihsani; Muhammad Asad 001; Vishwesh Nath; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Holger R. Roth; Tom Vercauteren; Daguang Xu; Prerna Dogra; et al. (CoRR, 2022)

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning. - Vishwesh Nath; Dong Yang 005; Holger R. Roth; Daguang Xu (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Fair Federated Medical Image Segmentation via Client Contribution Estimation. - Meirui Jiang; Holger R. Roth; Wenqi Li 001; Dong Yang 005; Can Zhao 001; Vishwesh Nath; Daguang Xu; Qi Dou 001; Ziyue Xu 001 (CVPR, 2023)

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. - Jingwei Sun 002; Ziyue Xu 001; Dong Yang 005; Vishwesh Nath; Wenqi Li 001; Can Zhao 001; Daguang Xu; Yiran Chen 001; Holger R. Roth (ICCV, 2023)

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. - Yufan He; Vishwesh Nath; Dong Yang 005; Yucheng Tang; Andriy Myronenko; Daguang Xu (MICCAI (4), 2023)

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation. - Han Liu; Hao Li; Xing Yao; Yubo Fan; Dewei Hu; Benoit M. Dawant; Vishwesh Nath; Zhoubing Xu; Ipek Oguz (MICCAI (2), 2023)

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. - Dong Yang 005; Ziyue Xu 001; Yufan He; Vishwesh Nath; Wenqi Li 001; Andriy Myronenko; Ali Hatamizadeh; Can Zhao 001; Holger R. Roth; Daguang Xu (MICCAI (3), 2023)

A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI. - Tianyuan Yao; Nancy Newlin; Praitayini Kanakaraj; Vishwesh Nath; Leon Y. Cai; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (CDMRI@MICCAI, 2023)

Deep constrained spherical deconvolution for robust harmonization. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (Image Processing, 2023)

A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI. - Tianyuan Yao; Nancy Newlin; Praitayini Kanakaraj; Vishwesh Nath; Leon Y. Cai; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (CoRR, 2023)

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Andrea T. Shafer; Susan M. Resnick; Kurt Schilling; et al. (CoRR, 2023)

Uncertainty-Driven Rheumatic Heart Disease Detection through Active Learning. - Pooneh Roshanitabrizi; Vishwesh Nath; Kelsey Brown; Alison Tompsett; Joselyn Rwebembera; Emmy Okello; Andrea Z. Beaton; Holger R. Roth; Craig A. Sable; Marius George Linguraru (ISBI, 2024)

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. - Nancy Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Joseph Yuan-Mou Yang; Ye Wu 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Ramon Sánchez-Jacob; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (MedAGI@MICCAI, 2024)

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. - Jeya Maria Jose Valanarasu; Yucheng Tang; Dong Yang 005; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Vishal M. Patel; Bennett Allan Landman; Daguang Xu; Yufan He; Vishwesh Nath (MIDL, 2024)

IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. - Mohammad Zalbagi Darestani; Vishwesh Nath; Wenqi Li 001; Yufan He; Holger R. Roth; Ziyue Xu 001; Daguang Xu; Reinhard Heckel; Can Zhao 001 (WACV, 2024)

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. - Quan Liu 002; Ruining Deng; Can Cui 006; Tianyuan Yao; Vishwesh Nath; Yucheng Tang; Yuankai Huo (CoRR, 2024)

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CoRR, 2024)

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (CoRR, 2024)

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. - Yucheng Tang; Yufan He; Vishwesh Nath; Pengfei Guo; Ruining Deng; Tianyuan Yao; Quan Liu 002; Can Cui 006; Mengmeng Yin; Ziyue Xu 001; Holger Roth; Daguang Xu; et al. (CoRR, 2024)

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Daguang Xu; Wenqi Li 001 (CoRR, 2024)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. - Nancy R. Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Jian Chen; Joseph Yuan-Mou Yang; Ye Wu; Yifei He; et al. (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Yunhao Fang; et al. (CoRR, 2024)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. - Zhifan Jiang; Vishwesh Nath; Holger R. Roth; Abhijeet Parida; Nicholas Foreman; Michael J. Fisher; Roger J. Packer; Syed Muhammad Anwar; Robert A. Avery; Marius George Linguraru (ISBI, 2025)

MAISI: Medical AI for Synthetic Imaging. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Ziyue Xu 001; Vishwesh Nath; Yucheng Tang; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (WACV, 2025)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Yufan He; Vishwesh Nath; Ziyue Xu 001; Pedro R. A. S. Bassi; Zongwei Zhou; Benjamin Simon; Stephanie Anne Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)