Image Processing In Angiography
Image Processing in Angiography is a computational methodology that enhances, analyzes, and interprets angiographic image sequences to extract clinically relevant vascular dynamics and structural features, specifically within the context of Indocyanine Green Angiography.
196
Publications
8K
Citations
749
Authors
268
Institutions
Publications per year
2017–2026
39
196
IMAGE ARTIFACTS IN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY
Richard F. Spaide, James G. Fujimoto, Nadia K. Waheed · Retina · 2015 · 1K citations · Full text
Enhancement of Vascular Structures in3D and 2D Angiographic Images
Tim Jerman, Franjo Pernuš, Boštjan Likar et al. · IEEE Transactions on Medical Imaging · 2016 · 297 citations
1–5 of 196
749
4
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 749
268
Inserm
Paris, France
7 h-index
11 publications
301 citations
University of Rhode Island
Kingston, United States
6 h-index
9 publications
742 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
5 h-index
21 publications
719 citations
Laboratoire Traitement du Signal et de l'Image
Rennes, France
4 h-index
8 publications
197 citations
Stanford University
Stanford, United States
4 h-index
9 publications
254 citations

University of Lübeck
Lübeck, Germany
4 h-index
7 publications
160 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
14 publications
181 citations
University of Chicago
Chicago, United States
4 h-index
15 publications
537 citations
1–8 of 268
20 publications · 1.4K citations
18
h-index
15 publications · 295 citations
12
h-index
7 publications · 395 citations
7
h-index
MRM · 6 publications · 167 citations
6
h-index
BOE · 5 publications · 164 citations
5
h-index
1–5