William Paul

Johns Hopkins University Applied Physics Laboratory — United States

Computer Science · Physical Sciences

12h-index1.0kcitations44works1.02yr avg
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Research Topics

Adversarial Robustness in Machine Learning(10), Retinal Imaging and Analysis(6), Cinema and Media Studies(5), Ethics and Social Impacts of AI(5), Retinal Diseases and Treatments(4)

Publications44 total

Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence
JAMA Network Open·2025· 2 citedOpen Access
Virtual reality meditation as a novel approach to decreasing anxiety among neurology residents
2024
PFEDEDIT: Personalized Federated Learning via Automated Model Editing
Lecture notes in computer science·2024· 1 cited
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
IEEE Transactions on Information Forensics and Security·2023· 7 cited
Charles Chaplin and the Annals of Anality
2023· 2 cited
Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema
JAMA Ophthalmology·2023· 18 citedOpen Access
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness
Lecture notes in computer science·2023· 4 cited
Rényi Fair Information Bottleneck for Image Classification
2022· 2 cited
Robustness and Adaptation to Hidden Factors of Variation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization
Neural Computation·2022· 1 citedOpen Access
Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning
JAMA Ophthalmology·2021· 34 citedOpen Access
Adaptation and Generalization for Unknown Sensitive Factors of Variations
arXiv (Cornell University)·2021· 1 citedOpen Access
Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes.
arXiv (Cornell University)·2021Open Access
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods
arXiv (Cornell University)·2021· 4 citedOpen Access
Addressing Artificial Intelligence Bias in Retinal Diagnostics
Translational Vision Science & Technology·2021· 122 citedOpen Access
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection
Neural Computation·2021· 2 citedOpen Access
Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics
Lecture notes in computer science·2021· 7 cited
RENATA: REpreseNtation And Training Alteration for Bias Mitigation.
arXiv (Cornell University)·2020· 1 citedOpen Access
AI Progress in Skin Lesion Analysis
arXiv (Cornell University)·2020Open Access
AI-based detection of erythema migrans and disambiguation against other skin lesions
Computers in Biology and Medicine·2020· 37 cited
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Frequent Co-authors

Philippe Burlina(19), Neil Joshi(9), Neil M. Bressler(6), Fady Alajaji(6), Ion Stoica(5), Philip Mathew(4), John N. Aucott(4), Yinzhi Cao(4), Philipp Moritz(3), Robert Nishihara(3), Stephanie Wang(3), Alexey Tumanov(3), Richard Liaw(3), Michael I. Jordan(3), Kátia D. Pacheco(3), T. Y. Alvin Liu(3), Bahman Gharesifard(3), Phil Burlina(3), Armin Hadžić(3), Johann Schleier-Smith(2)