Stone Composition Prediction
Stone Composition Prediction is a computational method that identifies the chemical makeup of urinary calculi non-invasively by analyzing imaging data to differentiate stone types based on their attenuation profiles and spectral characteristics.
87
Publications
4.2K
Citations
471
Authors
171
Institutions
Publications per year
2017–2026
25
Parents
87
Equil2: A Basic Computer Program for the Calculation of Urinary Saturation
P. G. Werness, C. M. Brown, Lynwood H. Smith et al. · The Journal of Urology · 1985 · 511 citations
Medicine, Nephrology, Urology +6
Deep learning computer vision algorithm for detecting kidney stone composition
Kristian M. Black, Hei Law, Ali H. Aldoukhi et al. · British Journal of Urology · 2020 · 165 citations · Full text
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Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil
3 publications · 71 citations
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171

Sorbonne Université
Paris, France
5 h-index
19 publications
382 citations
Massachusetts General Hospital
Boston, United States
4 h-index
14 publications
769 citations
Hôpital Tenon
Paris, France
4 h-index
14 publications
252 citations
Cleveland Clinic
Cleveland, United States
4 h-index
17 publications
383 citations
Duke Medical Center
Durham, United States
3 h-index
17 publications
1.9K citations
Assistance Publique – Hôpitaux de Paris
Paris, France
3 h-index
9 publications
120 citations
Harvard University
Cambridge, United States
3 h-index
13 publications
301 citations
Mayo Clinic
Rochester, United States
3 h-index
11 publications
2.3K citations
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13 publications · 315 citations
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9 publications · 617 citations
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8 publications · 777 citations
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6 publications · 585 citations
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Repository · 3 publications · 69 citations
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