CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives-Reference-Cited by-同舟云学术

CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives

Published:2024-02 Issue:2 Volume:8 Page:153-172
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Lei Yiming¹^ORCID,Niu Chuang²^ORCID,Zhang Junping¹^ORCID,Wang Ge²^ORCID,Shan Hongming³^ORCID

Affiliation:

1. Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China

2. Department of Biomedical Engineering, School of Engineering, Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Center for Computational Innovations, Rensselaer Polytechnic Institute, Troy, NY, USA

3. Institute of Science and Technology for Brain-Inspired Intelligence, MOE Frontiers Center for Brain Science, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Sailing Program

China Postdoctoral Science Foundation

Shanghai Municipal Science and Technology Major Project

ZJLab

Shanghai Municipal of Science and Technology Project

Shanghai Center for Brain Science and Brain-Inspired Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/7433213/10419121/10354073.pdf?arnumber=10354073

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