 Connection
Praveer Singh to Machine Learning
This is a "connection" page, showing publications Praveer Singh has written about Machine Learning.
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Connection Strength |
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0.448 |
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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: 0.153
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Hallaj S, Chuter BG, Lieu AC, Singh P, Kalpathy-Cramer J, Xu BY, Christopher M, Zangwill LM, Weinreb RN, Baxter SL. Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives. Ophthalmol Glaucoma. 2025 Jan-Feb; 8(1):92-105.
Score: 0.139
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Gidwani M, Chang K, Patel JB, Hoebel KV, Ahmed SR, Singh P, Fuller CD, Kalpathy-Cramer J. Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology. 2023 04; 307(1):e220715.
Score: 0.124
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Gupta S, Kumar S, Chang K, Lu C, Singh P, Kalpathy-Cramer J. Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics. 2023 04; 43(4):e220107.
Score: 0.032
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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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