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ORCIDCan Zhao 0001
Person information
- affiliation: Nvidia Corp, Redmond, WA, USA
- affiliation (PhD 2021): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Can Zhao — disambiguation page
- Can Zhao 0002
![[0000-0002-6939-359X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6939-359X")
— Huazhong University of Science and Technology (HUST), National Laboratory for Optoelectronics, Wuhan, China - Can Zhao 0003 — Chengdu University, School of Electronic Information and Electrical Engineering, Chengdu, China (and 1 more)
- Can Zhao 0004 — Tsinghua University, Beijing National Research Centre for Information Science and Technology (BNRist), Beijing, China (and 1 more)
- Can Zhao 0005 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Can Zhao 0006 — Qualcomm Technologies Inc., San Diego, CA, USA (and 1 more)
- Can Zhao 0007 — Chinese Academy of Sciences (CAS), Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2024
[j4]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)- [c26]Austin Tapp, Abhijeet Parida, Can Zhao, Van Lam, Natasha Leporé, Syed Muhammad Anwar, Marius George Linguraru:
MR to CT Synthesis Using 3d Latent Diffusion. ISBI 2024: 1-5 - [c25]Austin Tapp, Can Zhao, Holger R. Roth, Jeffrey Tanedo, Syed Muhammad Anwar, Niall J. Bourke, Joseph V. Hajnal, Victoria Nankabirwa, Sean C. L. Deoni, Natasha Leporé, Marius George Linguraru:
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. MICCAI (3) 2024: 444-454 - [c24]Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao:
IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV 2024: 7640-7649 - [i17]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) - [i16]Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Daguang Xu, Wenqi Li:
A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. CoRR abs/2408.11210 (2024) - [i15]Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu:
MAISI: Medical AI for Synthetic Imaging. CoRR abs/2409.11169 (2024) - 2023
- [j3]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) - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [e4]Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez:
Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14288, Springer 2023, ISBN 978-3-031-44688-7 [contents] - [i14]Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li:
Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. CoRR abs/2303.02278 (2023) - [i13]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) - [i12]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) - [i11]Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i10]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) - 2022
- [c19]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 - [c18]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 - [c17]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI 2022: 47-57 - [c16]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 - [e3]Can Zhao, David Svoboda, Jelmer M. Wolterink, María Escobar:
Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13570, Springer 2022, ISBN 978-3-031-16979-3 [contents] - [i9]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) - [i8]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) - [i7]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR abs/2208.10553 (2022) - [i6]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) - [i5]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
- [j2]Can Zhao, Blake E. Dewey, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince:
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. IEEE Trans. Medical Imaging 40(3): 805-817 (2021) - [c15]Zhifan Jiang, Can Zhao, Xinyang Liu, Marius George Linguraru:
Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution. BrainLes@MICCAI (2) 2021: 125-137 - [c14]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 - [e2]David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao:
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12965, Springer 2021, ISBN 978-3-030-87591-6 [contents] - [i4]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) - 2020
- [j1]Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Jerry L. Prince, Zongben Xu:
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN. IEEE Trans. Medical Imaging 39(12): 4249-4261 (2020) - [c13]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) 2020: 374-384 - [e1]Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao:
Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12417, Springer 2020, ISBN 978-3-030-59519-7 [contents] - [i3]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR abs/2006.12575 (2020)
2010 – 2019
- 2019
- [c12]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c11]Can Zhao, Seoyoung Son, Yongsoo Kim, Jerry L. Prince:
iSMORE: An Iterative Self Super-Resolution Algorithm. SASHIMI@MICCAI 2019: 130-139 - 2018
- [c10]Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince:
Self super-resolution for magnetic resonance images using deep networks. ISBI 2018: 365-368 - [c9]Sachin Goyal, Can Zhao, Amod Jog, Jerry L. Prince, Aaron Carass:
Improving self super resolution in magnetic resonance images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057814 - [c8]Blake E. Dewey, Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter C. M. van Zijl, Jerry L. Prince:
Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation. SASHIMI@MICCAI 2018: 20-30 - [c7]Can Zhao, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi, Daniel S. Reich, Pascal Sati, Dzung L. Pham, Jerry L. Prince:
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. MICCAI (1) 2018: 100-108 - [c6]Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince:
Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. DLMIA/ML-CDS@MICCAI 2018: 174-182 - [i2]Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince:
Self Super-Resolution for Magnetic Resonance Images using Deep Networks. CoRR abs/1802.09431 (2018) - [i1]Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince:
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN. CoRR abs/1809.04536 (2018) - 2017
- [c5]Can Zhao, Aaron Carass, Junghoon Lee, Amod Jog, Jerry L. Prince:
A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis. SASHIMI@MICCAI 2017: 33-40 - [c4]Yufan He, Aaron Carass, Yeyi Yun, Can Zhao, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs. FIFI/OMIA@MICCAI 2017: 202-209 - [c3]Can Zhao, Aaron Carass, Junghoon Lee, Yufan He, Jerry L. Prince:
Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images. MLMI@MICCAI 2017: 291-298 - [c2]Junghoon Lee, Aaron Carass, Amod Jog, Can Zhao, Jerry L. Prince:
Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning. Medical Imaging: Image Processing 2017: 101331I - 2016
- [c1]Can Zhao, Aaron Carass, Amod Jog, Jerry L. Prince:
Effects of spatial resolution on image registration. Medical Imaging: Image Processing 2016: 97840Y
Coauthor Index
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