Imaging Result Normalization
Imaging Result Normalization is a computational method in medical imaging that standardizes heterogeneous imaging data across modalities, scanners, or institutions to enable consistent interpretation and integration by removing technical variability while preserving biologically relevant features.
30
Publications
1.5K
Citations
171
Authors
82
Institutions
Publications per year
2017–2026
8
Parents
30
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
Mohak Shah, Yiming Xiao, Nagesh K. Subbanna et al. · Medical Image Analysis · 2010 · 178 citations
Medicine, Neurology, Neuroscience +16
Hypercapnic normalization of BOLD fMRI: comparison across field strengths and pulse sequences
Eric R. Cohen, Egill Rostrup, Karam Sidaros et al. · NeuroImage · 2004 · 106 citations
Medicine, Neuroscience, Radiology +17
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82

University of Surrey
Guildford, United Kingdom
2 h-index
5 publications
250 citations
University College London
London, United Kingdom
2 h-index
2 publications
59 citations

Universidad de Granada
Granada, Spain
2 h-index
7 publications
248 citations
KU Leuven
Leuven, Belgium
2 h-index
7 publications
150 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
2 h-index
3 publications
89 citations
Hammersmith Hospital
London, United Kingdom
1 h-index
2 publications
52 citations
Institute of Cognitive Sciences and Technologies
Rome, Italy
1 h-index
1 publications
36 citations

Gazi University
Ankara, Turkey
1 h-index
1 publications
36 citations
1–8 of 82
5 publications · 287 citations
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3 publications · 120 citations
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2 publications · 74 citations
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2 publications · 264 citations
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1 publications · 11 citations
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