1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST
Michael Karnes, Alper Yilmaz
While deep learning has achieved remarkable success in medical imaging, the "black-box" nature of backpropagation-based models remains a significant barrier to clinical adoption. T…
cs.CV2024★ 1 cited
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
Shehan Perera, Yunus Erzurumlu, Deepak Gulati +1
Skin cancer segmentation poses a significant challenge in medical image analysis. Numerous existing solutions, predominantly CNN-based, face issues related to a lack of global cont…