Jonathan Fhima

According to our database, Jonathan Fhima authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

IEEE Trans. Biomed. Eng., January, 2026

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, May, 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, March, 2025

TAP-VL: Text Layout Aware Pretraining for Enriched Vision-Language Models.

Jonathan Fhima, Elad Ben-Avraham, Oren Nuriel, Yair Kittenplon, Roy Ganz, Aviad Aberdam, Ron Litman

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

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

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

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

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations.

Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar

Proceedings of the Computing in Cardiology, 2022