Yang, Dong

26 publications

NeurIPS 2025 Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Dong Yang, Pengfei Guo, Marc Edgar, Daguang Xu, Bernhard Kainz, Bjoern Menze

WACV 2025 MAISI: Medical AI for Synthetic Imaging Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie Harmon, Baris Turkbey, Daguang Xu

NeurIPS 2025 Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis Dong Yang, Yiyi Cai, Yuki Saito, Lixu Wang, Hiroshi Saruwatari

CVPR 2025 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 Harmon, Benjamin Simon, Greg Heinrich, Stephen Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

CVPR 2025 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 Harmon, Baris Turkbey, Daguang Xu, Wenqi Li

MIDL 2024 Disruptive Autoencoders: Leveraging Low-Level Features for 3D Medical Image Pre-Training Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath

ICML 2024 FedBPT: Efficient Federated Black-Box Prompt Tuning for Large Language Models Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R Roth

WACV 2024 Learning Quality Labels for Robust Image Classification Xiaosong Wang, Ziyue Xu, Dong Yang, Leo Tam, Holger Roth, Daguang Xu

WACV 2024 Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris Metaxas

IJCAI 2023 A Canonicalization-Enhanced Known Fact-Aware Framework for Open Knowledge Graph Link Prediction Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu

ICCV 2023 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

CVPR 2023 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

ICCV 2023 Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris Metaxas

ECCV 2022 Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth

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

CVPR 2022 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

NeurIPSW 2022 NVIDIA FLARE: Federated Learning from Simulation to Real-World Holger R Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, YuanTing Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona G Flores, Andrew Feng

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

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

CVPR 2021 DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris Metaxas

CVPR 2021 DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu

ICCV 2021 I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-Fidelity 3D Hand Mesh Modeling Ping Chen, Yujin Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan

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

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

IJCAI 2019 Ensemble-Based Ultrahigh-Dimensional Variable Screening Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian

ECCV 2018 Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing Dong Yang, Jian Sun