Philip Mathew

202020212022202320243 21 24 38 10

Philippe BurlinaJHU/CS, JHU/SOM, JHU/APL, Malone MCEHVerified email at jhuapl.edu
William PaulJohns Hopkins University Applied Physics LaboratoryVerified email at jhuapl.edu
Neil JoshiThe Johns Hopkins University Applied Physics LaboratoryVerified email at jhuapl.edu
John AucottJohns Hopkins University School of MedicineVerified email at jhmi.edu
Alison Rebman, MPHJohns Hopkins University School of MedicineVerified email at jhmi.edu
Armin HadzicDZYNE TechnologiesVerified email at uky.edu
Yinzhi CaoJohns Hopkins UniversityVerified email at jhu.edu

Philip Mathew

Johns Hopkins University Applied Physics Laboratory

Verified email at jhuapl.edu


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Low-shot deep learning of diabetic retinopathy with potential applications to address artificial intelligence bias in retinal diagnostics and rare ophthalmic diseases P Burlina, W Paul, P Mathew, N Joshi, KD Pacheco, NM Bressler JAMA ophthalmology 138 (10), 1070-1077, 2020	55	2020
AI-based detection of erythema migrans and disambiguation against other skin lesions PM Burlina, NJ Joshi, PA Mathew, W Paul, AW Rebman, JN Aucott Computers in biology and medicine 125, 103977, 2020	38	2020
Evaluating trade-offs in computer vision between attribute privacy, fairness and utility W Paul, P Mathew, F Alajaji, P Burlina arXiv preprint arXiv:2302.07917, 2023	2	2023
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness H Yuan, J Aucott, A Hadzic, W Paul, M Villegas de Flores, P Mathew, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023	1	2023
AI progress in skin lesion analysis PM Burlina, W Paul, PA Mathew, NJ Joshi, AW Rebman, JN Aucott arXiv preprint arXiv:2009.13323, 2020	1	2020

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