Image Acquisition Optimization
Image Acquisition Optimization is a methodological framework within image quality assurance that systematically enhances the processes and parameters of image capture to maximize diagnostic or analytical fidelity while minimizing artifacts, noise, and resource expenditure.
102
Publications
3.6K
Citations
417
Authors
179
Institutions
Publications per year
2017–2026
18
Parents
102
Mathematical analysis of super-resolution methodology
Michael K. Ng, N.K. Bose · IEEE Signal Processing Magazine · 2003 · 161 citations
1–5 of 102
417
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 417
179
Massachusetts General Hospital
Boston, United States
3 h-index
12 publications
138 citations
University College London
London, United Kingdom
3 h-index
9 publications
401 citations
Harvard University
Cambridge, United States
3 h-index
12 publications
138 citations

Institut Curie
Paris, France
2 h-index
8 publications
144 citations

Carestream (United States)
Rochester, United States
2 h-index
4 publications
174 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
261 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
90 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
4 publications
229 citations
1–8 of 179
8 publications · 137 citations
8
h-index
6 publications · 127 citations
6
h-index
6 publications · 187 citations
6
h-index
MRM · 3 publications · 93 citations
3
h-index
JACMP · 2 publications · 36 citations
2
h-index
1–5