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ORCIDDong Yang 0005
Person information
- affiliation: NVIDIA, Bethesda, MD, USA
- affiliation (former): Rutgers University, Department of Computer Science, CBIM, Piscataway, NJ, USA
- affiliation (former): Siemens Corporate Technology, Imaging & Computer Vision Technology Field, Princeton, NJ, USA
Other persons with the same name
- Dong Yang — disambiguation page
- Dong Yang 0001
![[0000-0003-3402-3668]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3402-3668")
— Beijing Jiaotong University, School of Electronic and Information Engineering, China - Dong Yang 0002 — Lanzhou University, Department of Mathematics, China
- Dong Yang 0003 — Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, Hong Kong (and 2 more)
- Dong Yang 0004 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Dong Yang 0006 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Dong Yang 0007 — Qufu Normal University, Rizhao, China
- Dong Yang 0008 — Beijing Normal University, College of Education for the Future, Zhuhai, China
- Dong Yang 0009 — University of California, Merced, CA, USA
- Dong Yang 0010 — National University of Defense Technology, Institute for Quantum Information & State Key Laboratory of High Performance Computing, Changsha, China
- Dong Yang 0011 — Hebei University of Technology, School of Mechanical Engineering, Tianjin, China
- Dong Yang 0012 — Xidian University, Xi'an Institute of Space Radio Technology, China
- Dong Yang 0013 — Beihang University, Digital Society and Blockchain Laboratory, School of Computer Science and Engineering, China
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2020 – today
- 2024
[j14]Chih-Hung Wang, Tzu-Ching Lin, Guanru Chen, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang:
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. J. Medical Syst. 48(1): 1 (2024)- [c60]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. ICML 2024 - [c59]Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Quality Labels for Robust Image Classification. WACV 2024: 1092-1101 - [c58]Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas:
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. WACV 2024: 7629-7639 - [e1]Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang:
Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14293, Springer 2024, ISBN 978-3-031-45856-9 [contents] - [i55]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:
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. CoRR abs/2406.05285 (2024) - 2023
- [j13]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting 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 Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - [j12]Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10409-10426 (2023) - [c57]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR 2023: 16302-16311 - [c56]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV 2023: 5180-5189 - [c55]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. ICCV 2023: 14201-14210 - [c54]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. KiTS@MICCAI 2023: 1-7 - [c53]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. SEG.A@MICCAI 2023: 13-18 - [c52]Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu:
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. MICCAI (4) 2023: 416-426 - [c51]Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu:
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) 2023: 747-756 - [c50]Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang:
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. MIDL 2023: 1239-1253 - [i54]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR abs/2303.16270 (2023) - [i53]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR abs/2303.16520 (2023) - [i52]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. CoRR abs/2307.07693 (2023) - [i51]Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR abs/2307.16896 (2023) - [i50]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR abs/2310.01467 (2023) - [i49]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. CoRR abs/2310.04110 (2023) - [i48]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. CoRR abs/2310.04114 (2023) - 2022
- [j11]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [j10]Dong Yang, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Yin Zhang, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou:
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. J. Signal Process. Syst. 94(5): 473-483 (2022) - [c49]Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR 2022: 20698-20708 - [c48]Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CVPR 2022: 20709-20719 - [c47]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c46]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:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 2022: 437-455 - [c45]Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu:
Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. HECKTOR@MICCAI 2022: 31-37 - [c44]Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. CuRIOUS/KiPA/MELA@MICCAI 2022: 36-42 - [c43]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:
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. DeCaF/FAIR@MICCAI 2022: 58-67 - [c42]Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu:
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) 2022: 77-87 - [c41]Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu:
Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. MICCAI (8) 2022: 297-308 - [c40]Yufan He, Dong Yang, Andriy Myronenko, Daguang Xu:
Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation. MICCAI (5) 2022: 560-569 - [c39]Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. WACV 2022: 1748-1758 - [i47]Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu:
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. CoRR abs/2201.01266 (2022) - [i46]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:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR abs/2203.06338 (2022) - [i45]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - [i44]Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu:
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR abs/2204.00631 (2022) - [i43]Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu:
Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning. CoRR abs/2209.06285 (2022) - [i42]Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated ischemic stroke lesion segmentation from 3D MRI. CoRR abs/2209.09546 (2022) - [i41]Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated segmentation of intracranial hemorrhages from 3D CT. CoRR abs/2209.10648 (2022) - [i40]Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu:
Automated head and neck tumor segmentation from 3D PET/CT. CoRR abs/2209.10809 (2022) - [i39]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting 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 Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - [i38]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [j9]Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. 3(2): 507-524 (2021) - [j8]Qiaoying Huang, Yikun Xian, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
Dynamic MRI reconstruction with end-to-end motion-guided network. Medical Image Anal. 68: 101901 (2021) - [j7]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - [j6]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [j5]Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 40(10): 2534-2547 (2021) - [c38]Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu:
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. BrainLes@MICCAI (1) 2021: 272-284 - [c37]Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori:
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 101-110 - [c36]Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu:
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CVPR 2021: 5841-5850 - [c35]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CVPR 2021: 7261-7271 - [c34]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV 2021: 3942-3954 - [c33]Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) 2021: 329-338 - [c32]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) 2021: 357-366 - [c31]Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. MICCAI (3) 2021: 456-465 - [c30]Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou, Weichung Wang:
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. STACOM@MICCAI 2021: 208-218 - [i37]Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation. CoRR abs/2101.02323 (2021) - [i36]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CoRR abs/2103.02772 (2021) - [i35]Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. CoRR abs/2103.10504 (2021) - [i34]Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu:
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CoRR abs/2103.15954 (2021) - [i33]Xiaosong Wang, Ziyue Xu, Leo K. Tam, Dong Yang, Daguang Xu:
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. CoRR abs/2103.16022 (2021) - [i32]Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i31]Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. CoRR abs/2107.05471 (2021) - [i30]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR abs/2107.08111 (2021) - [i29]Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori:
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CoRR abs/2108.08537 (2021) - [i28]Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR abs/2111.01556 (2021) - [i27]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR abs/2111.07535 (2021) - [i26]Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR abs/2111.14791 (2021) - [i25]Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CoRR abs/2112.10652 (2021) - 2020
- [j4]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [j3]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39(7): 2531-2540 (2020) - [c29]Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR 2020: 4125-4134 - [c28]Dong Yang, Qiaoying Huang, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes. ISBI 2020: 1-4 - [c27]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. M&Ms and EMIDEC/STACOM@MICCAI 2020: 117-126 - [c26]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:
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. DART/DCL@MICCAI 2020: 192-200 - [c25]Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network Using Neural Architecture Search. MLMI@MICCAI 2020: 634-643 - [c24]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL 2020: 857-866 - [c23]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV 2020: 3635-3644 - [i24]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i23]Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu:
Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR abs/2005.14355 (2020) - [i22]Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR abs/2006.05847 (2020) - [i21]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020) - [i20]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. CoRR abs/2008.08194 (2020) - [i19]Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network using Neural Architecture Search. CoRR abs/2008.08248 (2020) - [i18]Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR abs/2009.10325 (2020) - [i17]Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR abs/2009.11988 (2020) - [i16]Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal:
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR abs/2009.12437 (2020) - [i15]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:
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. CoRR abs/2009.13148 (2020) - [i14]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020)
2010 – 2019
- 2019
- [c22]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV 2019: 240-248 - [c21]Qiaoying Huang, Dong Yang, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI. FIMH 2019: 352-360 - [c20]Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu:
An Alarm System for Segmentation Algorithm Based on Shape Model. ICCV 2019: 10651-10660 - [c19]Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas:
MRI Reconstruction Via Cascaded Channel-Wise Attention Network. ISBI 2019: 1622-1626 - [c18]Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) 2019: 3-11 - [c17]