| LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images J Fhima, J Van Eijgen, MIB Moulin-Romsée, H Brackenier, H Kulenovic, ... Physiological Measurement 45 (5), 055002, 2024 | 9 | 2024 |
| PVBM: a Python vasculature biomarker toolbox based on retinal blood vessel segmentation J Fhima, JV Eijgen, I Stalmans, Y Men, M Freiman, JA Behar European Conference on Computer Vision, 296-312, 2022 | 9 | 2022 |
| Leuven-Haifa High-Resolution Fundus Image Dataset for Retinal Blood Vessel Segmentation and Glaucoma Diagnosis J Van Eijgen, J Fhima, MI Billen Moulin-Romsée, JA Behar, E Christinaki, ... Scientific Data 11 (1), 257, 2024 | 6 | 2024 |
| Lirot. ai: a novel platform for crowd-sourcing retinal image segmentations J Fhima, J Van Eijgen, M Freiman, I Stalmans, JA Behar 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 2 | 2022 |
| DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images Y Men, J Fhima, LA Celi, LZ Ribeiro, LF Nakayama, JA Behar arXiv preprint arXiv:2312.14891, 2023 | 1 | 2023 |
| TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models J Fhima, EB Avraham, O Nuriel, Y Kittenplon, R Ganz, A Aberdam, ... arXiv preprint arXiv:2411.04642, 2024 | | 2024 |
| Computerized analysis of the eye vasculature in a mass dataset of digital fundus images: the example of age, sex and primary open-angle glaucoma J Fhima, JV Eijgen, A Reiner-Benaim, L Beeckmans, O Abramovich, ... medRxiv, 2024.07. 21.24310763, 2024 | | 2024 |