Imaging Data Modeling
Imaging Data Modeling is a clinical data modeling methodology that specifically formalizes the structure, semantics, and relationships of medical imaging data to enable standardized representation, integration, and interpretation within clinical research and healthcare systems.
51
Publications
2.7K
Citations
285
Authors
168
Institutions
Publications per year
2017–2026
18
Parents
51
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
Rongjian Li, Wenlu Zhang, Heung‐Il Suk et al. · Lecture notes in computer science · 2014 · 486 citations
Medicine, Neuroscience, Radiology +15
Modeling for Intergroup Comparisons of Imaging Data
Roger P. Woods · NeuroImage · 1996 · 146 citations
Medicine, Biostatistics, Radiology +10
1–5 of 51
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Foundation for Research and Technology Hellas, Greece
2 publications · 47 citations
2
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1–5 of 285
168

Johns Hopkins University
Baltimore, United States
3 h-index
8 publications
146 citations
University College London
London, United Kingdom
3 h-index
8 publications
446 citations
Stanford University
Stanford, United States
3 h-index
8 publications
133 citations
Foundation for Research and Technology Hellas
Heraklion, Greece
3 h-index
6 publications
159 citations
Inserm
Paris, France
2 h-index
3 publications
34 citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
2 h-index
2 publications
26 citations
National Institutes of Health
Bethesda, United States
2 h-index
10 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
39 citations
1–8 of 168
2 publications · 274 citations
2
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2 publications · 52 citations
2
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LNCS · Book series · 2 publications · 497 citations
2
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2 publications · 20 citations
2
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MRM · 2 publications · 480 citations
2
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