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Physics-Driven Machine Learning for Computational Imaging: Part 2

delete2023-03-01
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PRE
AI
B
Bihan Wen *
S
Saiprasad Ravishankar
Z
Zhizhen Zhao
R
Raja Giryes
J
Jong Chul Ye
DOI:10.1109/MSP.2023.3236492delete
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Abstract

Abstract

En 中文
Thanks to the tremendous interest from the research community, the focus of the March issue of the IEEE Signal Processing Magazine is on the second volume of the special issue on physics-driven machine learning for computational imaging, which brings together nine articles of the 19 accepted papers from the original 47 submissions.
Keywords:
Special issues and sections
Physics
Machine learning
Image processing
Computational modeling

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

U
University of Illinois Urbana-Champaign
Scholars:
2.4W
Papers: 2.0W
Citations: 35
N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W
University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644
T
Tel Aviv University
Scholars:
3.7W
Papers: 3.0W
Citations: 3.6W
M
michigan state university
Scholars:
3.6W
Papers: 3.2W
Citations: 44
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