 Connection
Praveer Singh to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Praveer Singh has written about Image Processing, Computer-Assisted.
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Connection Strength |
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0.577 |
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Clark CW, Kinder S, Nebbia G, Veturi YA, McNamara S, Manoharan N, Forest T, Kahook M, Mandava N, Singh P, Kalpathy-Cramer J. Uncertainty-Aware Training for Ophthalmic Segmentation Using MedSAM. Transl Vis Sci Technol. 2026 Feb 02; 15(2):19.
Score: 0.169
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Bearce B, McNamara S, Kinder S, Manoharan N, Lisker A, Arguinchona L, Marks B, Roseto I, Barrientos L, Milner D, Gnanaraj R, Gill Z, Tukel M, Abe-Ridgway K, Mandava N, Singh P, Nebbia G, Kalpathy-Cramer J. Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus Autofluorescence. Transl Vis Sci Technol. 2026 Jan 05; 15(1):12.
Score: 0.168
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Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras. Ophthalmol Retina. 2021 10; 5(10):1027-1035.
Score: 0.120
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Coyner AS, Chen J, Campbell JP, Ostmo S, Singh P, Kalpathy-Cramer J, Chiang MF. Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. AMIA Annu Symp Proc. 2020; 2020:329-337.
Score: 0.119
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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