Vishwesh Nath
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. | Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li |
| 2025 | CVPR | VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. | Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu |
| 2025 | ICCV | Unified Supervision for Vision-Language Modeling in 3D Computed Tomography. | Hao-Chih Lee, Zelong Liu, Hamza Ahmed, Spencer Kim, Sean Huver, Vishwesh Nath, Zahi A. Fayad, Timothy Deyer, Xueyan Mei |
| 2025 | WACV | MAISI: Medical AI for Synthetic Imaging. | Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu |
| 2024 | MICCAI | 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, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, William Consagra, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristn-Vega, Santiago Aja-Fernndez, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman |
| 2024 | MICCAI | D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. | Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Ramon Snchez-Jacob, Vishwesh Nath, Holger R. Roth, Marius George Linguraru |
| 2024 | WACV | IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. | Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao |
| 2023 | CVPR | Fair Federated Medical Image Segmentation via Client Contribution Estimation. | Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu |
| 2023 | ICCV | Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. | Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth |
| 2023 | MICCAI | SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. | Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. | Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu |
| 2023 | MICCAI | 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 |
| 2022 | CVPR | HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. | Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang |
| 2022 | CVPR | Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. | Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh |
| 2022 | MICCAI | DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. | Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. | Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu |
| 2022 | WACV | UNETR: Transformers for 3D Medical Image Segmentation. | Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu |
| 2021 | MICCAI | The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. | Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu |
| 2020 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |