Can Zhao - Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA

基本信息

Career Trajectory

Bio

Can Zhao currently works at the Department of Electrical and Computer Engineering, Johns Hopkins University. Can does research in Probability Theory, Electrical Engineering and Artificial Neural Network. Their current project is 'image synythesis' and self super-resolution.

Research Interests

Papers共 51 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

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, Greg Heinrich,Stephen Aylward, Marc Edgar, Michael Zephyr,Pavlo Molchanov,Baris Turkbey,Holger Roth,Daguang Xu

arxiv（2024）

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A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation

Yufan He,Pengfei Guo,Yucheng Tang,Andriy Myronenko,Vishwesh Nath,Ziyue Xu,Dong Yang,Can Zhao,Daguang Xu,Wenqi Li

CoRR (2024)

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Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

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

International Conference on Medical Image Computing and Computer-Assisted Intervention（2024）

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Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study

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

JOURNAL OF IMAGING INFORMATICS IN MEDICINE（2024）

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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

IEEE/CVF Winter Conference on Applications of Computer Vision（2024）

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MR to CT Synthesis Using 3d Latent Diffusion

Austin Tapp,Abhijeet Parida,Can Zhao, Van Lam, Natasha Leporé,Syed Muhammad Anwar,Marius George Linguraru

ISBIpp.1-5, (2024)

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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

CoRR (2024)

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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

arxiv（2024）

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Deep Learning–based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study

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

Deleted Journalno. 2 (2024): 589-600

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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 Landman,Daguang Xu,Yufan He,Vishwesh Nath

arXiv (Cornell University) (2023)

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