Radiology Data Mining
Radiology Data Mining is a computational methodology within radiology informatics that systematically extracts, analyzes, and interprets patterns, correlations, and knowledge from large-scale radiological data sets through advanced algorithms and statistical techniques distinct from general data management or reporting functions in radiology information systems.
87
Publications
3.5K
Citations
319
Authors
183
Institutions
Publications per year
2017–2026
44
87
1–5 of 87
319
3
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 319
183
Massachusetts General Hospital
Boston, United States
7 h-index
30 publications
6.1K citations
Harvard University
Cambridge, United States
4 h-index
20 publications
6.1K citations
Stanford University
Stanford, United States
4 h-index
11 publications
448 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
11 publications
306 citations
Hospital of the University of Pennsylvania
Philadelphia, United States
4 h-index
12 publications
348 citations
Mallinckrodt (United States)
Hazelwood, United States
3 h-index
12 publications
254 citations

University of Toronto
Toronto, Canada
3 h-index
13 publications
870 citations

Johns Hopkins Medicine
Baltimore, United States
2 h-index
5 publications
143 citations
1–8 of 183
JACR · 11 publications · 1.2K citations
11
h-index
10 publications · 273 citations
10
h-index
AJR · 4 publications · 158 citations
4
h-index
3 publications · 142 citations
3
h-index
AI · 3 publications · 81 citations
3
h-index
1–5