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eess.IV2024
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions
Mohammad Mohaiminul Islam, Coen de Vente, Bart Liefers +3
In this paper, we present a new approach for uncertainty-aware retinal layer segmentation in Optical Coherence Tomography (OCT) scans using probabilistic signed distance functions…
eess.IV2024★ 7 cited
VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images
Jose Vargas Quiros, Bart Liefers, Karin van Garderen +4
We introduce VascX models, a comprehensive set of model ensembles for analyzing retinal vasculature from color fundus images (CFIs). Annotated CFIs were aggregated from public data…