22 citations · 39 across the 14 of their papers we have counts for
5 papers · 1 filter
uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm
Hagai Hamami, Yosef Solewicz, Daniel Zur +2
Introduction: Premature Ventricular Contractions (PVCs) are common cardiac arrhythmias originating from the ventricles. Accurate detection remains challenging due to variability in…
Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection
Benjamin A. Cohen, Jonathan Fhima, Meishar Meisel +4
Self-supervised learning (SSL) has enabled Vision Transformers (ViTs) to learn robust representations from large-scale natural image datasets, enhancing their generalization across…
HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis
Meishar Meisel, Benjamin A. Cohen, Meital Baskin +3
The Hillel Yaffe Age Related Macular Degeneration (HYAMD) dataset is a longitudinal collection of 1,560 Digital Fundus Images (DFIs) from 325 patients examined at the Hillel Yaffe…
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
Jonathan Fhima, Jan Van Eijgen, Lennert Beeckmans +6
Generalization in medical segmentation models is challenging due to limited annotated datasets and imaging variability. To address this, we propose Retinal Layout-Aware Diffusion (…
GONet: A Generalizable Deep Learning Model for Glaucoma Detection
Or Abramovich, Hadas Pizem, Jonathan Fhima +8
Glaucomatous optic neuropathy (GON) is a prevalent ocular disease that can lead to irreversible vision loss if not detected early and treated. The traditional diagnostic approach f…