Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. - Jonathan Fhima; Jan Van Eijgen; Moti Freiman; Ingeborg Stalmans; Joachim A. Behar (CinC, 2022)

PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation. - Jonathan Fhima; Jan Van Eijgen; Ingeborg Stalmans; Yevgeniy Men; Moti Freiman; Joachim A. Behar (ECCV Workshops (3), 2022)

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images. - Jonathan Fhima; Jan Van Eijgen; Hana Kulenovic; Valérie Debeuf; Marie Vangilbergen; Marie-Isaline Billen; Heloïse Brackenier; Moti Freiman; Ingeborg Stalmans; Joachim A. Behar (CoRR, 2023)

DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. - Yevgeniy Men; Jonathan Fhima; Leo Anthony Celi; Lucas Zago Ribeiro; Luis Filipe Nakayama; Joachim A. Behar (CoRR, 2023)

TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models. - Jonathan Fhima; Elad Ben-Avraham; Oren Nuriel; Yair Kittenplon; Roy Ganz; Aviad Aberdam; Ron Litman (CoRR, 2024)

GONet: A Generalizable Deep Learning Model for Glaucoma Detection. - Or Abramovich; Hadas Pizem; Jonathan Fhima; Eran Berkowitz; Ben Gofrit; Meishar Meisel; Meital Baskin; Jan Van Eijgen; Ingeborg Stalmans; Eytan Blumenthal; Joachim A. Behar (CoRR, 2025)

Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling. - Jonathan Fhima; Jan Van Eijgen; Lennert Beeckmans; Thomas Jacobs; Moti Freiman; Luis Filipe Nakayama; Ingeborg Stalmans; Chaim Baskin; Joachim A. Behar (CoRR, 2025)

Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection. - Benjamin A. Cohen; Jonathan Fhima; Meishar Meisel; Meital Baskin; Luis Filipe Nakayama; Eran Berkowitz; Joachim A. Behar (CoRR, 2025)