Daguang Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
9
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss. | Can Zhao, Pengfei Guo, Dong Yang, Yufan He, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu |
| 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 | MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs. | Jiawei Mao, Yuhan Wang, Yucheng Tang, Daguang Xu, Kang Wang, Yang Yang, Zongwei Zhou, Yuyin Zhou |
| 2025 | MICCAI | Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases. | Pooneh Roshanitabrizi, Pengfei Guo, Artur Arturi Aharonyan, Kelsey Brown, Taylor Gloria Broudy, Abhijeet Parida, Austin Tapp, Zhifan Jiang, Alison Tompsett, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Holger R. Roth, Daguang Xu, Syed Muhammad Anwar, Craig A. Sable, Marius George Linguraru |
| 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 | CVPR | Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. | Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar |
| 2024 | ICML | 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 |
| 2024 | MOBICOM | Federated Black-box Prompt Tuning System for Large Language Models on the Edge. | Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen |
| 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 |
| 2024 | WACV | Learning Quality Labels for Robust Image Classification. | Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu |
| 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 | Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. | Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu |
| 2023 | MICCAI | Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. | Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu |
| 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 |
| 2022 | CVPR | GradViT: Gradient Inversion of Vision Transformers. | Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov |
| 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 | CVPR | Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. | An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu |
| 2022 | ECCV | 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 A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth |
| 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 | Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation. | Yufan He, Dong Yang, Andriy Myronenko, Daguang Xu |
| 2022 | MICCAI | Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. | Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu |
| 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 | MICCAI | Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. | Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu |
| 2022 | MICCAI | Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. | Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth |
| 2022 | MICCAI | Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. | Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko |
| 2022 | MICCAI | Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. | Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, 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 | CVPR | DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. | Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu |
| 2021 | ICCV | 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 |
| 2021 | ICRA | Test-Time Training for Deformable Multi-Scale Image Registration. | Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie |
| 2021 | MICCAI | Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. | Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu |
| 2021 | MICCAI | Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. | Andriy Myronenko, Ziyue Xu, Dong Yang, 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 |
| 2021 | MICCAI | Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. | Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu |
| 2020 | AAAI | When Radiology Report Generation Meets Knowledge Graph. | Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu |
| 2020 | CVPR | C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. | Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu |
| 2020 | MICCAI | Federated Learning for Breast Density Classification: A Real-World Implementation. | Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendona, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer |
| 2020 | MICCAI | Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. | Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu |
| 2020 | MICCAI | Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. | Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori |
| 2020 | MICCAI | LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. | Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu |
| 2020 | WACV | 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 L. Yuille, Holger Roth |
| 2020 | WACV | NeurReg: Neural Registration and Its Application to Image Segmentation. | Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu |
| 2019 | ICCV | An Alarm System for Segmentation Algorithm Based on Shape Model. | Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu |
| 2019 | MICCAI | End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. | Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth |
| 2019 | MICCAI | Privacy-Preserving Federated Brain Tumour Segmentation. | Wenqi Li, Fausto Milletar, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sbastien Ourselin, M. Jorge Cardoso, Andrew Feng |
| 2019 | MICCAI | 4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. | Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth |
| 2019 | MICCAI | Cardiac Segmentation of LGE MRI with Noisy Labels. | Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu |
| 2019 | MICCAI | Weakly Supervised Segmentation from Extreme Points. | Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu |
| 2019 | MICCAI | Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. | Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu |
| 2019 | MICCAI | Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. | Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu |
| 2019 | MICCAI | Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. | Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu |
| 2019 | MICCAI | Integrating 3D Geometry of Organ for Improving Medical Image Segmentation. | Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang |
| 2018 | MICCAI | 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. | Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu |
| 2017 | MICCAI | Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. | Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou |
| 2017 | MICCAI | Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. | Dong Yang, 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 |
| 2017 | MICCAI | Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. | Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu |
| 2016 | MICCAI | Robust 3D Organ Localization with Dual Learning Architectures and Fusion. | Xiaoguang Lu, Daguang Xu, David Liu |