1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2025
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images
George R. Nahass, Zhu Wang, Homa Rashidisabet +8
Machine unlearning aims to remove the influence of specific training samples from a trained model without full retraining. While prior work has largely focused on privacy-motivated…
eess.IV2024★ 1 cited
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
Mahtab Faraji, Homa Rashidisabet, George R. Nahass +3
Here, we examine the latest advances in glaucoma detection through Deep Learning (DL) algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).…