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 47 篇Author StatisticsCo-AuthorSimilar Experts

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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

arxiv（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 Lepore,Syed Muhammad Anwar,Marius George Linguraru

2024 IEEE International Symposium on Biomedical Imaging (ISBI)pp.1-5, (2024)

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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

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 Medicinepp.1-11, (2024)

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VISTA3D: Versatile Imaging SegmenTation and Annotation Model for 3D Computed Tomography

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

CoRR (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

Journal of imaging informatics in medicineno. 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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Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction

Tianyu Hwang,Chih-Hung Wang,Holger R. Roth,Dong Yang,Can Zhao,Chien-Hua Huang,Weichung Wang

International Conference on Medical Imaging with Deep Learningpp.1239-1253, (2023)

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Federated Virtual Learning on Heterogeneous Data with Local-global Distillation

Chun-Yin Huang,Ruinan Jin,Can Zhao,Daguang Xu,Xiaoxiao Li

arXiv (Cornell University) (2023)

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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, Tzuching 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

Journal of Medical Systemsno. 1 (2023): 1-10

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