Automated Image Quantification
Automated Image Quantification is a computational methodology in medical image analysis that enables the systematic and objective measurement of cardiac structural and functional parameters from imaging data without manual intervention.
594
Publications
31.4K
Citations
3.5K
Authors
1.1K
Institutions
Publications per year
2017–2026
253
594
Fully Automated Echocardiogram Interpretation in Clinical Practice
Jeffrey Zhang, Sravani Gajjala, Pulkit Agrawal et al. · Circulation · 2018 · 969 citations · Full text
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
Ahmed Hosny, Chintan Parmar, Thibaud Coroller et al. · PLoS Medicine · 2018 · 586 citations · Full text
1–5 of 594
3.5K
William Harvey Research Institute, United Kingdom
11 publications · 1.1K citations
11
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11
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10
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10
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9
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1–5 of 3.5K
1.1K

Imperial College London
London, United Kingdom
17 h-index
56 publications
12.7K citations
King's College London
London, United Kingdom
15 h-index
71 publications
5.3K citations

Lund University
Lund, Sweden
14 h-index
70 publications
4.4K citations
Inserm
Paris, France
13 h-index
64 publications
1.3K citations

Cedars-Sinai Medical Center
Los Angeles, United States
13 h-index
64 publications
5.1K citations
Harvard University
Cambridge, United States
12 h-index
60 publications
7.4K citations
University College London
London, United Kingdom
12 h-index
65 publications
3.7K citations

Leiden University Medical Center
Leiden, The Netherlands
12 h-index
56 publications
5K citations
1–8 of 1.1K
24 publications · 2.5K citations
19
h-index
19 publications · 792 citations
16
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JMRI · 16 publications · 626 citations
14
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Repository · 18 publications · 705 citations
14
h-index
14 publications · 523 citations
13
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