Description of the JHU System Combination Scheme for WMT 2011. - Daguang Xu; Yuan Cao 007; Damianos G. Karakos (WMT@EMNLP, 2011)

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT. - Adam Lopez; Matt Post; Chris Callison-Burch; Jonathan Weese; Juri Ganitkevitch; Narges Ahmidi; Olivia Buzek; Leah Hanson; Beaniesh Jamil; Matthias A. Lee; Ya-Ting Lin; Henry Pao; et al. (Trans. Assoc. Comput. Linguistics, 2013)

Robust 3D Organ Localization with Dual Learning Architectures and Fusion. - Xiaoguang Lu; Daguang Xu; David Liu 001 (LABELS/DLMIA@MICCAI, 2016)

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. - Dong Yang 005; Tao Xiong; Daguang Xu; Qiangui Huang; David Liu 001; Shaohua Kevin Zhou; Zhoubing Xu; Jin Hyeong Park; Mingqing Chen; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; et al. (IPMI, 2017)

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. - Zhoubing Xu; Qiangui Huang; Jin Hyeong Park; Mingqing Chen; Daguang Xu; Dong Yang 005; David Liu 001; Shaohua Kevin Zhou (MICCAI (3), 2017)

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. - Dong Yang 005; Tao Xiong; Daguang Xu; Shaohua Kevin Zhou; Zhoubing Xu; Mingqing Chen; Jin Hyeong Park; Sasa Grbic; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 2017)

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. - Dong Yang 005; Daguang Xu; Shaohua Kevin Zhou; Bogdan Georgescu; Mingqing Chen; Sasa Grbic; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 2017)

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context. - Yefeng Zheng 001; David Liu 001; Bogdan Georgescu; Daguang Xu; Dorin Comaniciu (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. - Siqi Liu 001; Daguang Xu; Shaohua Kevin Zhou; Olivier Pauly; Sasa Grbic; Thomas Mertelmeier; Julia Wicklein; Anna K. Jerebko; Weidong Cai 001; Dorin Comaniciu (MICCAI (2), 2018)

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. - Siqi Liu 001; Daguang Xu; Shaohua Kevin Zhou; Sasa Grbic; Weidong Cai 001; Dorin Comaniciu (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. - Dong Yang 005; Tao Xiong; Daguang Xu (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. - Zhuotun Zhu; Chenxi Liu 001; Dong Yang 005; Alan L. Yuille; Daguang Xu (3DV, 2019)

An Alarm System for Segmentation Algorithm Based on Shape Model. - Fengze Liu; Yingda Xia; Dong Yang 005; Alan L. Yuille; Daguang Xu (ICCV, 2019)

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. - Jinzheng Cai; Yingda Xia; Dong Yang 005; Daguang Xu; Lin Yang 002; Holger Roth (MLMI@MICCAI, 2019)

Privacy-Preserving Federated Brain Tumour Segmentation. - Wenqi Li 001; Fausto Milletarì; Daguang Xu; Nicola Rieke; Jonny Hancox; Wentao Zhu 001; Maximilian Baust; Yan Cheng; Sébastien Ourselin; M. Jorge Cardoso; Andrew Feng (MLMI@MICCAI, 2019)

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. - Andriy Myronenko; Dong Yang 005; Varun Buch; Daguang Xu; Alvin Ihsani; Sean Doyle; Mark Michalski; Neil A. Tenenholtz; Holger Roth (STACOM@MICCAI, 2019)

Cardiac Segmentation of LGE MRI with Noisy Labels. - Holger Roth; Wentao Zhu 001; Dong Yang 005; Ziyue Xu 001; Daguang Xu (STACOM@MICCAI, 2019)

Weakly Supervised Segmentation from Extreme Points. - Holger Roth; Ling Zhang 002; Dong Yang 005; Fausto Milletari; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. - Xiaosong Wang 001; Ling Zhang 002; Holger Roth; Daguang Xu; Ziyue Xu 001 (GLMI@MICCAI, 2019)

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Holger Roth; Dong Yang 005; Fausto Milletari; Ling Zhang 002; Daguang Xu (SASHIMI@MICCAI, 2019)

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. - Dong Yang 005; Holger Roth; Ziyue Xu 001; Fausto Milletari; Ling Zhang 002; Daguang Xu (MICCAI (2), 2019)

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation. - Jiawen Yao; Jinzheng Cai; Dong Yang 005; Daguang Xu; Junzhou Huang (MICCAI (5), 2019)

Deep Hierarchical Multi-label Classification of Chest X-ray Images. - Haomin Chen; Shun Miao; Daguang Xu; Gregory D. Hager; Adam P. Harrison (MIDL, 2019)

Combo loss: Handling input and output imbalance in multi-organ segmentation. - Saeid Asgari Taghanaki; Yefeng Zheng 001; Shaohua Kevin Zhou; Bogdan Georgescu; Puneet Sharma; Daguang Xu; Dorin Comaniciu; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2019)

Interactive segmentation of medical images through fully convolutional neural networks. - Tomas Sakinis; Fausto Milletari; Holger Roth; Panagiotis Korfiatis; Petro M. Kostandy; Kenneth Philbrick; Zeynettin Akkus; Ziyue Xu 001; Daguang Xu; Bradley J. Erickson (CoRR, 2019)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 2019)

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking. - Wentao Zhu 001; Yufang Huang; Mani A. Vannan; Shizhen Liu; Daguang Xu; Wei Fan 001; Zhen Qian; Xiaohui Xie (CoRR, 2019)

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (CoRR, 2019)

When Radiology Report Generation Meets Knowledge Graph. - Yixiao Zhang 001; Xiaosong Wang 001; Ziyue Xu 001; Qihang Yu; Alan L. Yuille; Daguang Xu (AAAI, 2020)

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. - Qihang Yu; Dong Yang 005; Holger Roth; Yutong Bai; Yixiao Zhang 001; Alan L. Yuille; Daguang Xu (CVPR, 2020)

Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. - Leo K. Tam; Xiaosong Wang 001; Evrim Turkbey; Kevin Lu; Yuhong Wen; Daguang Xu (MICCAI (4), 2020)

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. - Pochuan Wang; Chen Shen 002; Holger R. Roth; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Kazunari Misawa; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Weichung Wang; Kensaku Mori (DART/DCL@MICCAI, 2020)

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. - Wentao Zhu 001; Can Zhao 001; Wenqi Li 001; Holger Roth; Ziyue Xu 001; Daguang Xu (MICCAI (4), 2020)

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (MIDL, 2020)

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. - Yingda Xia; Fengze Liu; Dong Yang 005; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (WACV, 2020)

NeurReg: Neural Registration and Its Application to Image Segmentation. - Wentao Zhu 001; Andriy Myronenko; Ziyue Xu 001; Wenqi Li 001; Holger Roth; Yufang Huang; Fausto Milletari; Daguang Xu (WACV, 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

Enhancing Foreground Boundaries for Medical Image Segmentation. - Dong Yang 005; Holger Roth; Xiaosong Wang 001; Ziyue Xu 001; Andriy Myronenko; Daguang Xu (CoRR, 2020)

Learning Image Labels On-the-fly for Training Robust Classification Models. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (CoRR, 2020)

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. - Vikash Gupta; Holger Roth; Varun Buch; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Richard D. White; Dong Yang 005; Olga Laur; Brian B. Ghoshhajra; Ittai Dayan; Daguang Xu; Mona G. Flores; Barbaros Selnur Erdal (CoRR, 2020)

Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19. - Leo K. Tam; Xiaosong Wang 001; Daguang Xu (CoRR, 2020)

Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies. - Haomin Chen; Shun Miao; Daguang Xu; Gregory D. Hager; Adam P. Harrison (Medical Image Anal., 2020)

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. - Yingda Xia; Dong Yang 005; Zhiding Yu; Fengze Liu; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (Medical Image Anal., 2020)

The future of digital health with federated learning. - Nicola Rieke; Jonny Hancox; Wenqi Li 001; Fausto Milletarì; Holger R. Roth; Shadi Albarqouni; Spyridon Bakas; Mathieu N. Galtier; Bennett A. Landman; Klaus H. Maier-Hein; Sébastien Ourselin; Micah J. Sheller; et al. (npj Digit. Medicine, 2020)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 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)

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. - Chen Shen 002; Pochuan Wang; Holger R. Roth; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Weichung Wang; Chiou-Shann Fuh; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. - Yufan He; Dong Yang 005; Holger Roth; Can Zhao 001; Daguang Xu (CVPR, 2021)

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. - Dong Yang 005; Andriy Myronenko; Xiaosong Wang 001; Ziyue Xu 001; Holger R. Roth; Daguang Xu (ICCV, 2021)

Test-Time Training for Deformable Multi-Scale Image Registration. - Wentao Zhu 001; Yufang Huang; Daguang Xu; Zhen Qian; Wei Fan 001; Xiaohui Xie (ICRA, 2021)

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. - Riddhish Bhalodia; Ali Hatamizadeh; Leo K. Tam; Ziyue Xu 001; Xiaosong Wang 001; Evrim Turkbey; Daguang Xu (MICCAI (2), 2021)

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. - Andriy Myronenko; Ziyue Xu 001; Dong Yang 005; Holger R. Roth; Daguang Xu (MICCAI (8), 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)

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Holger R. Roth; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Wentao Zhu 001; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (MICCAI (3), 2021)

UNETR: Transformers for 3D Medical Image Segmentation. - Ali Hatamizadeh; Dong Yang 005; Holger Roth; Daguang Xu (CoRR, 2021)

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. - Xiaosong Wang 001; Ziyue Xu 001; Leo K. Tam; Dong Yang 005; Daguang Xu (CoRR, 2021)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Srini Bala; Daniel J. Beutel; Victor Bittorf; Akshay Chaudhari; Alexander Chowdhury; Cody Coleman; Bala Desinghu; et al. (CoRR, 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

Going to Extremes: Weakly Supervised Medical Image Segmentation. - Holger R. Roth; Dong Yang 005; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (Mach. Learn. Knowl. Extr., 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 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)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; John M. Pauly; Baris Turkbey; Stephanie Anne Harmon; Thomas Hogue Sanford; Sherif Mehralivand; Peter L. Choyke; Bradford J. Wood; Daguang Xu (IEEE Trans. Medical Imaging, 2021)

GradViT: Gradient Inversion of Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Holger Roth; Wenqi Li 001; Jan Kautz; Daguang Xu; Pavlo Molchanov 001 (CVPR, 2022)

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)

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. - An Xu; Wenqi Li 001; Pengfei Guo; Dong Yang 005; Holger Roth; Ali Hatamizadeh; Can Zhao 001; Daguang Xu; Heng Huang; Ziyue Xu 001 (CVPR, 2022)

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. - Pengfei Guo; Dong Yang 005; Ali Hatamizadeh; An Xu; Ziyue Xu 001; Wenqi Li 001; Can Zhao 001; Daguang Xu; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (ECCV (21), 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)

Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation. - Yufan He; Dong Yang 005; Andriy Myronenko; Daguang Xu (MICCAI (5), 2022)

Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. - Andriy Myronenko; Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu (HECKTOR@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)

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. - Holger R. Roth; Ali Hatamizadeh; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Andriy Myronenko; Daguang Xu (DeCaF/FAIR@MICCAI, 2022)

Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. - Chen Shen 002; Pochuan Wang; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Chiou-Shann Fuh; Kensaku Mori; Weichung Wang; Holger R. Roth (DeCaF/FAIR@MICCAI, 2022)

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. - Ziyue Xu 001; Andriy Myronenko; Dong Yang 005; Holger R. Roth; Can Zhao 001; Xiaosong Wang 001; Daguang Xu (MICCAI (2), 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)

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. - Ali Hatamizadeh; Ziyue Xu 001; Dong Yang 005; Wenqi Li 001; Holger Roth; Daguang Xu (CoRR, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; 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)

Automated ischemic stroke lesion segmentation from 3D MRI. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CoRR, 2022)

Automated segmentation of intracranial hemorrhages from 3D CT. - Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; Daguang Xu; Andriy Myronenko (CoRR, 2022)

Automated head and neck tumor segmentation from 3D PET/CT. - Andriy Myronenko; Md Mahfuzur Rahman Siddiquee; Dong Yang 005; Yufan He; 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)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 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)

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. - Andriy Myronenko; Dong Yang 005; Yufan He; Daguang Xu (SEG.A@MICCAI, 2023)

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. - Andriy Myronenko; Dong Yang 005; Yufan He; Daguang Xu (KiTS@MICCAI, 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)

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. - Chulin Xie; De-An Huang; Wenda Chu; Daguang Xu; Chaowei Xiao; Bo Li 026; Anima Anandkumar (CoRR, 2023)

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. - Chun-Yin Huang; Ruinan Jin; Can Zhao 001; Daguang Xu; Xiaoxiao Li (CoRR, 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yiran Chen 001; Holger R. Roth (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. - Chulin Xie; De-An Huang; Wenda Chu; Daguang Xu; Chaowei Xiao; Bo Li 026; Anima Anandkumar (CVPR, 2024)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yudong Liu; Zhixu Du; Yiran Chen 001; Holger R. Roth (ICML, 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)

Federated Black-box Prompt Tuning System for Large Language Models on the Edge. - Yiming Li; Jingwei Sun 002; Yudong Liu; Yuandong Zhang; Ang Li 005; Beidi Chen; Holger R. Roth; Daguang Xu; Tingjun Chen; Yiran Chen 001 (MobiCom, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 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)

Learning Quality Labels for Robust Image Classification. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (WACV, 2024)

Lazy Resampling: Fast and information preserving preprocessing for deep learning. - Benjamin Murray; Richard Brown 004; Pengcheng Ma; Eric Kerfoot; Daguang Xu; Andrew Feng; Jorge Cardoso 002; Sébastien Ourselin; Marc Modat (Comput. Methods Programs Biomed., 2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (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)

Supercharging Federated Learning with Flower and NVIDIA FLARE. - Holger R. Roth; Daniel J. Beutel; Yan Cheng; Javier Fernández-Marqués; Heng Pan; Chester Chen; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Isaac Yang; Yuan-Ting Hsieh; Ziyue Xu 001; et al. (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)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun 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)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. - Parker Addison; Minh-Tuan H. Nguyen; Tomislav Medan; Jinali Shah; Mohammad T. Manzari; Brendan McElrone; Laksh Lalwani; Aboli More; Smita Sharma; Holger R. Roth; Isaac Yang; Chester Chen; et al. (CoRR, 2024)

Text-Driven Tumor Synthesis. - Xinran Li; Yi Shuai; Chen Liu; Qi Chen; Qilong Wu; Pengfei Guo; Dong Yang 005; Can Zhao 001; Pedro R. A. S. Bassi; Daguang Xu; Kang Wang 004; Yang Yang 009; 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)

Federated learning as a catalyst for digital healthcare innovations. - Guang Yang; Brandon Edwards; Spyridon Bakas; Qi Dou 001; Daguang Xu; Xiaoxiao Li; Wanying Wang (Patterns, 2024)

Guest Editorial: Trustworthy Machine Learning for Health Informatics. - Luyang Luo; Daguang Xu; Jing Qin 001; Yueming Jin; Hao Chen 011 (IEEE J. Biomed. Health Informatics, 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)

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)

Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation. - Chun-Yin Huang; Ruinan Jin; Can Zhao 001; Daguang Xu; Xiaoxiao Li (Trans. Mach. Learn. Res., 2025)

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics. - Junchao Zhu; Ruining Deng; Tianyuan Yao; Juming Xiong; Chongyu Qu; Junlin Guo; Siqi Lu; Yucheng Tang; Daguang Xu; Mengmeng Yin; Yu Wang; Shilin Zhao; et al. (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs. - Jiawei Mao; Yuhan Wang; Yucheng Tang; Daguang Xu; Kang Wang 004; Yang Yang 009; Zongwei Zhou; Yuyin Zhou (CoRR, 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)

PanTS: The Pancreatic Tumor Segmentation Dataset. - Wenxuan Li; Xinze Zhou; Qi Chen; Tianyu Lin; Pedro R. A. S. Bassi; Szymon Plotka; Jaroslaw B. Cwikla; Xiaoxi Chen; Chen Ye; Zheren Zhu; Kai Ding; Heng Li; et al. (CoRR, 2025)

MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss. - Can Zhao 001; Pengfei Guo; Dong Yang 005; Yucheng Tang; Yufan He; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)

Img2ST-Net: Efficient High-Resolution Spatial Omics Prediction from Whole Slide Histology Images via Fully Convolutional Image-to-Image Learning. - Junchao Zhu; Ruining Deng; Junlin Guo; Tianyuan Yao; Juming Xiong; Chongyu Qu; Mengmeng Yin; Yu Wang; Shilin Zhao; Haichun Yang; Daguang Xu; Yucheng Tang; et al. (CoRR, 2025)