Image Workflow Optimization
Image Workflow Optimization is a methodological framework within imaging data management that systematically enhances the efficiency, accuracy, and reproducibility of image acquisition, processing, storage, and analysis workflows by integrating automated decision points, resource allocation strategies, and performance metrics tailored to domain-specific imaging pipelines.
3
Publications
228
Citations
19
Authors
9
Institutions
Publications per year
2017–2026
2
Parents
3
Roberto M. Lang, Karima Addetia, Tatsuya Miyoshi et al. · Journal of the American Society of Echocardiography · 2020 · 25 citations · Full text
1–3 of 3
19
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 19
9
Fondazione Santa Lucia
Rome, Italy
1 h-index
1 publications
154 citations

University of Trieste
Trieste, Italy
1 h-index
2 publications
308 citations
MedStar Heart & Vascular Institute
Washington D.C., United States
1 h-index
2 publications
50 citations
Istituto Nanoscienze
Pisa, Italy
1 h-index
4 publications
616 citations
Elettra-Sincrotrone Trieste S.C.p.A.
Trieste, Italy
1 h-index
4 publications
616 citations
National Research Council
Rome, Italy
1 h-index
4 publications
616 citations
Istituto di Nanotecnologia
Lecce, Italy
1 h-index
4 publications
616 citations
University of Chicago Medical Center
Chicago, United States
1 h-index
4 publications
100 citations
1–8 of 9
1 publications · 154 citations
1
h-index
JASE · 1 publications · 25 citations
1
h-index
1 publications · 49 citations
1
h-index
1–3