Enhancing retinal vessel segmentation generalization via layout-aware generative modelling
Enhancing retinal vessel segmentation generalization via layout-aware generative modelling, Fhima, Jonathan, Van Eijgen, Jan, Beeckmans, Lennert, Jacobs, Thomas, Freiman, Moti, Nakayama, Luis Filipe, Stalmans, Ingeborg, Baskin, Chaim, Behar, Joachim A
Authors
- Chaim Baskin
- Ingeborg Stalmans (ORCID: https://orcid.org/0000-0001-7507-4512)
- Luis Filipe Nakayama (ORCID: https://orcid.org/0000-0002-6847-6748)
- Jonathan Fhima (ORCID: https://orcid.org/0000-0003-1129-4609)
- Jan Van Eijgen (ORCID: https://orcid.org/0000-0001-7243-9280)
- Moti Freiman (ORCID: https://orcid.org/0000-0003-1083-1548)
- Joachim A. Behar (ORCID: https://orcid.org/0000-0001-5956-7034)
- Lennert Beeckmans
Institutions
- Ben-Gurion University of the Negev (IL)
- Technion – Israel Institute of Technology (IL)
- Universitair Ziekenhuis Leuven (BE)
- Universidade Federal de São Paulo (BR)
- KU Leuven (BE)
Publication Details
- Journal
- Machine Learning Health
- Published
- 2026-10-13
- DOI
- https://doi.org/10.1088/3049-477x/aeb380
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00