Imaging Data Harmonization
Imaging Data Harmonization is the systematic process of transforming and aligning imaging data acquired under different conditions, modalities, or sites to minimize non-biological variability while preserving biological relevance, thereby enabling valid cross-dataset integration and analysis.
86
Publications
5.9K
Citations
855
Authors
451
Institutions
Publications per year
2017–2026
80
Parents
86
Harmonization of multi-site diffusion tensor imaging data
Jean‐Philippe Fortin, Drew Parker, Birkan Tunç et al. · NeuroImage · 2017 · 1.3K citations · Full text
Medicine, Neuroscience, Radiology +17
Matteo Bastiani, Michiel Cottaar, Sean P. Fitzgibbon et al. · NeuroImage · 2018 · 351 citations · Full text
Inter-site and inter-scanner diffusion MRI data harmonization
Hengameh Mirzaalian, Lipeng Ning, Peter Savadjiev et al. · NeuroImage · 2016 · 170 citations
Medicine, Neuroscience, Radiology +12
1–5 of 86
855
7
h-index
5
h-index
5
h-index
5
h-index
5
h-index
1–5 of 855
451
Inserm
Paris, France
11 h-index
41 publications
1.5K citations
University of Pennsylvania
Philadelphia, United States
10 h-index
72 publications
19.7K citations
Harvard University
Cambridge, United States
8 h-index
48 publications
4K citations

Brigham and Women's Hospital
Boston, United States
8 h-index
40 publications
3.4K citations

Johns Hopkins University
Baltimore, United States
7 h-index
39 publications
4.6K citations

University of Toronto
Toronto, Canada
6 h-index
22 publications
448 citations
University College London
London, United Kingdom
6 h-index
11 publications
843 citations
University of Pittsburgh
Pittsburgh, United States
6 h-index
23 publications
1.9K citations
1–8 of 451
19 publications · 2.7K citations
18
h-index
Repository · 5 publications · 152 citations
5
h-index
5 publications · 215 citations
5
h-index
4 publications · 218 citations
4
h-index
3 publications · 71 citations
3
h-index
1–5