Deep Learning-based Registration
Deep Learning-Based Registration is a type of image registration method that leverages deep neural networks to automatically learn and optimize the spatial alignment of images by capturing complex, nonlinear transformations through data-driven feature representations.
367
Publications
27.1K
Citations
1.5K
Authors
581
Institutions
Publications per year
2017–2026
352
Parents
367
Deep Learning Applications in Medical Image Analysis
Justin Ker, Lipo Wang, Jai Prashanth Rao et al. · IEEE Access · 2017 · 1.5K citations · Full text
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan et al. · 2019 · 856 citations
1–5 of 367
1.5K
University of North Carolina at Chapel Hill, United States
12 publications · 1.4K citations
11
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10
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University of North Carolina at Chapel Hill, United States
7 publications · 628 citations
7
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7
h-index
7
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1–5 of 1.5K
581
University of North Carolina at Chapel Hill
Chapel Hill, United States
15 h-index
61 publications
7.9K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
25 publications
1.2K citations
Harvard University
Cambridge, United States
13 h-index
29 publications
839 citations

Xidian University
Xi'an, China
12 h-index
70 publications
4.6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
51 publications
1.8K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
18 publications
2.7K citations
Emory University
Atlanta, United States
9 h-index
65 publications
3.7K citations
Massachusetts General Hospital
Boston, United States
9 h-index
23 publications
631 citations
1–8 of 581
Repository · 36 publications · 1.5K citations
18
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16 publications · 942 citations
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14 publications · 1.6K citations
14
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12 publications · 408 citations
12
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10 publications · 714 citations
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