Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT. - Dong Yang 005; Yefeng Zheng 001; Matthias John 001 (Image Processing, 2013)

Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation. - Yefeng Zheng 001; Dong Yang 005; Matthias John 001; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2014)

Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model. - Chaowei Tan; Zhennan Yan; Dong Yang 005; Kang Li 004; Hui Jing Yu; Klaus Engelke; Colin Miller; Dimitris N. Metaxas (ISBI, 2015)

Automated anatomical landmark detection ondistal femur surface using convolutional neural network. - Dong Yang 005; Shaoting Zhang 001; Zhennan Yan; Chaowei Tan; Kang Li 004; Dimitris N. Metaxas (ISBI, 2015)

A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification. - Chaowei Tan; Kang Li 004; Zhennan Yan; Dong Yang 005; Shaoting Zhang 001; Hui Jing Yu; Klaus Engelke; Colin Miller; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2016)

3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. - Dong Yang 005; Pengxiang Wu; Chaowei Tan; Kilian M. Pohl; Leon Axel; Dimitris N. Metaxas (FIMH, 2017)

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)

Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood. - Dong Yang 005; Qiaoying Huang; Leon Axel; Dimitris N. Metaxas (ISBI, 2018)

3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network. - Dong Yang 005; Bo Liu 005; Leon Axel; Dimitris N. Metaxas (STACOM@MICCAI, 2018)

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)

FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI. - Qiaoying Huang; Dong Yang 005; Jingru Yi; Leon Axel; Dimitris N. Metaxas (FIMH, 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)

MRI Reconstruction Via Cascaded Channel-Wise Attention Network. - Qiaoying Huang; Dong Yang 005; Pengxiang Wu; Hui Qu; Jingru Yi; Dimitris N. Metaxas (ISBI, 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)

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)

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)

Dynamic MRI Reconstruction with Motion-Guided Network. - Qiaoying Huang; Dong Yang 005; Hui Qu; Jingru Yi; Pengxiang Wu; Dimitris N. Metaxas (MIDL, 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)

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)

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)

Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes. - Dong Yang 005; Qiaoying Huang; Mikael Kanski; Subhi Al'Aref; Leon Axel; Dimitris N. Metaxas (ISBI, 2020)

Enhanced MRI Reconstruction Network Using Neural Architecture Search. - Qiaoying Huang; Dong Yang 005; Yikun Xian; Pengxiang Wu; Jingru Yi; Hui Qu; Dimitris N. Metaxas (MLMI@MICCAI, 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)

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. - Meng Ye 003; Qiaoying Huang; Dong Yang 005; Pengxiang Wu; Jingru Yi; Leon Axel; Dimitris N. Metaxas (M&Ms and EMIDEC/STACOM@MICCAI, 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)

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)

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)

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)

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. - Meng Ye 003; Mikael Kanski; Dong Yang 005; Qi Chang; Zhennan Yan; Qiaoying Huang; Leon Axel; Dimitris N. Metaxas (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)

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)

Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. - Jun-Ting Chen; Yu-Cheng Huang; Holger Roth; Dong Yang 005; Chih-Kuo Lee; Wen-Jeng Lee; Tzung-Dau Wang; Cheng-Ying Chou; Weichung Wang (STACOM@MICCAI, 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)

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)

Dynamic MRI reconstruction with end-to-end motion-guided network. - Qiaoying Huang; Yikun Xian; Dong Yang 005; Hui Qu; Jingru Yi; Pengxiang Wu; Dimitris N. Metaxas (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)

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)

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)

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)

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)

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)

Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage. - Dong Yang 005; Giovanni Lasio; Baoshe Zhang; Byong Yi; Shifeng Chen; Yin Zhang; Thomas J. Macvittie; Dimitris N. Metaxas; Jinghao Zhou (J. Signal Process. Syst., 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)

Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. - Meng Ye 003; Dong Yang 005; Mikael Kanski; Leon Axel; Dimitris N. Metaxas (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)

Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. - Tianyu Hwang; Chih-Hung Wang; Holger R. Roth; Dong Yang 005; Can Zhao 001; Chien-Hua Huang; Weichung Wang (MIDL, 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)

SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. - Meng Ye 003; Dong Yang 005; Qiaoying Huang; Mikael Kanski; Leon Axel; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 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; 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)

Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. - Meng Ye 003; Mikael Kanski; Dong Yang 005; Leon Axel; Dimitris N. Metaxas (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)

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)

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)

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)

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)

Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. - Chih-Hung Wang; Tzu-Ching Lin; Guanru Chen; Meng-Rui Lee; Joyce Tay; Cheng-Yi Wu; Meng-Che Wu; Holger R. Roth; Dong Yang 005; Can Zhao 001; Weichung Wang; Chien-Hua Huang (J. Medical Syst., 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)

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)

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)