Can Zhao - RankMe

66 papers A* 7A 2B 2Journal 31Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss. AAAI Can Zhao, Pengfei Guo, Dong Yang, Yufan He, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2025	J	`jnl`	Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study. J. Imaging Inform. Medicine Chih-Hung Wang, Tianyu Hwang, Yu-Sen Huang, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
2025	J	`jnl`	Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation. CoRR Jiawei Mao, Yuhan Wang, Lifeng Chen, Can Zhao, Yucheng Tang, Dong Yang, Liangqiong Qu, Daguang Xu, Yuyin Zhou
2025	J	`jnl`	Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation. Trans. Mach. Learn. Res. Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li
2025	J	`jnl`	Interactive Tumor Progression Modeling via Sketch-Based Image Editing. CoRR Gexin Huang, Ruinan Jin, Yucheng Tang, Can Zhao, Tatsuya Harada, Xiaoxiao Li, Gu Lin
2025	J	`jnl`	Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction. CoRR Niklas Bubeck, Suprosanna Shit, Chen Chen, Can Zhao, Pengfei Guo, Dong Yang, Georg Zitzlsberger, Daguang Xu, Bernhard Kainz, Daniel Rueckert, Jiazhen Pan
2025	J	`jnl`	MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss. CoRR Can Zhao, Pengfei Guo, Dong Yang, Yucheng Tang, Yufan He, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2025	A	`conf`	MAISI: Medical AI for Synthetic Imaging. WACV Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2025	J	`jnl`	Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. CoRR Pengfei Guo, Can Zhao, Dong Yang, Yufan He, Vishwesh Nath, Ziyue Xu, Pedro R. A. S. Bassi, Zongwei Zhou, Benjamin Simon, Stephanie Anne Harmon, Baris Turkbey, Daguang Xu
2025	A*	`conf`	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CVPR 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	A*	`conf`	VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. CVPR 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
2024	J	`jnl`	A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. CoRR Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Daguang Xu, Wenqi Li
2024	J	`jnl`	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. 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
2024	J	`jnl`	Deep Learning-based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study. J. Imaging Inform. Medicine Chih-Hung Wang, Weishan Chang, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
2024	—	`conf`	Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. MIDL 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
2024	A	`conf`	IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao
2024	J	`jnl`	MAISI: Medical AI for Synthetic Imaging. CoRR Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2024	—	`conf`	MR to CT Synthesis Using 3d Latent Diffusion. ISBI Austin Tapp, Abhijeet Parida, Can Zhao, Van Lam, Natasha Leporé, Syed Muhammad Anwar, Marius George Linguraru
2024	—	`conf`	Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. MICCAI (3) 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
2024	J	`jnl`	Text-Driven Tumor Synthesis. CoRR Xinran Li, Yi Shuai, Chen Liu, Qi Chen, Qilong Wu, Pengfei Guo, Dong Yang, Can Zhao, Pedro R. A. S. Bassi, Daguang Xu, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou
2024	J	`jnl`	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR 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, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2024	J	`jnl`	VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. CoRR 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
2023	A*	`conf`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	J	`jnl`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	—	`conf`	DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu
2023	J	`jnl`	Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR 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
2023	A*	`conf`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. CoRR Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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
2023	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 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
2023	—	`conf`	Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. MIDL Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang
2023	—	`ed.`	Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings SASHIMI@MICCAI Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez
2022	—	`conf`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 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	J	`jnl`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR 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	—	`conf`	Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu
2022	A*	`conf`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR 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
2022	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR 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
2022	—	`ed.`	Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings SASHIMI@MICCAI Can Zhao, David Svoboda, Jelmer M. Wolterink, María Escobar
2022	J	`jnl`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	—	`conf`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2021	—	`conf`	Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution. BrainLes@MICCAI (2) Zhifan Jiang, Can Zhao, Xinyang Liu, Marius George Linguraru
2021	A*	`conf`	DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CVPR Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
2021	J	`jnl`	DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CoRR Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
2021	J	`jnl`	SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning. IEEE Trans. Medical Imaging Can Zhao, Blake E. Dewey, Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Jerry L. Prince
2021	—	`ed.`	Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings SASHIMI@MICCAI David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao
2020	—	`conf`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	—	`ed.`	Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings SASHIMI@MICCAI Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao
2020	J	`jnl`	Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN. IEEE Trans. Medical Imaging Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Jerry L. Prince, Zongben Xu
2019	—	`conf`	NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 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
2019	—	`conf`	iSMORE: An Iterative Self Super-Resolution Algorithm. SASHIMI@MICCAI Can Zhao, Seoyoung Son, Yongsoo Kim, Jerry L. Prince
2018	—	`conf`	A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. MICCAI (1) 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
2018	—	`conf`	Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation. SASHIMI@MICCAI Blake E. Dewey, Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter C. M. van Zijl, Jerry L. Prince
2018	—	`conf`	Improving self super resolution in magnetic resonance images. Biomedical Applications in Molecular, Structural, and Functional Imaging Sachin Goyal, Can Zhao, Amod Jog, Jerry L. Prince, Aaron Carass
2018	J	`jnl`	Self Super-Resolution for Magnetic Resonance Images using Deep Networks. CoRR Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince
2018	—	`conf`	Self super-resolution for magnetic resonance images using deep networks. ISBI Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince
2018	—	`conf`	Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. DLMIA/ML-CDS@MICCAI Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince
2018	J	`jnl`	Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN. CoRR Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince
2017	—	`conf`	A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis. SASHIMI@MICCAI Can Zhao, Aaron Carass, Junghoon Lee, Amod Jog, Jerry L. Prince
2017	B	`conf`	Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning. Image Processing Junghoon Lee, Aaron Carass, Amod Jog, Can Zhao, Jerry L. Prince
2017	—	`conf`	Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs. FIFI/OMIA@MICCAI Yufan He, Aaron Carass, Yeyi Yun, Can Zhao, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince
2017	—	`conf`	Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images. MLMI@MICCAI Can Zhao, Aaron Carass, Junghoon Lee, Yufan He, Jerry L. Prince
2016	B	`conf`	Effects of spatial resolution on image registration. Image Processing Can Zhao, Aaron Carass, Amod Jog, Jerry L. Prince