22 citations · 39 across the 14 of their papers we have counts for
7 papers · 1 filter
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
Noam Ben-Moshe, Kenta Tsutsui, Shany Biton +2
Introduction: Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm information in long-term, ambulatory ECG recordings have shown high performance.…
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images
Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi +3
Diabetic retinopathy (DR) is a prevalent complication of diabetes associated with a significant risk of vision loss. Timely identification is critical to curb vision impairment. Al…
Generalization in medical AI: a perspective on developing scalable models
Eran Zvuloni, Leo Anthony Celi, Joachim A. Behar
The scientific community is increasingly recognizing the importance of generalization in medical AI for translating research into practical clinical applications. A three-level sca…
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks
Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon +3
Background: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias that affects millions of people each year worldwide and it is closely linked to increased risk of…
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis
Marton A. Goda, Peter H. Charlton, Joachim A. Behar
Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and increasingly used for in a variety of research and…
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images
Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic +7
The retina is the only part of the human body in which blood vessels can be accessed non-invasively using imaging techniques such as digital fundus images (DFI). The spatial distri…
PhysioZoo: The Open Digital Physiological Biomarkers Resource
Joachim A. Behar, Jeremy Levy, Eran Zvuloni +8
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library…