Artery-vein segmentation in fundus images using a fully convolutional network. - Ruben Hemelings; Bart Elen; Ingeborg Stalmans; Karel van Keer; Patrick De Boever; Matthew B. Blaschko (Comput. Medical Imaging Graph., 2019)

Pathological myopia classification with simultaneous lesion segmentation using deep learning. - Ruben Hemelings; Bart Elen; Matthew B. Blaschko; Julie Jacob; Ingeborg Stalmans; Patrick De Boever (Comput. Methods Programs Biomed., 2021)

Glaucoma detection beyond the optic disc: The importance of the peripapillary region using explainable deep learning. - Ruben Hemelings; Bart Elen; João Barbosa Breda; Matthew B. Blaschko; Patrick De Boever; Ingeborg Stalmans (CoRR, 2021)

Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning. - Ruben Hemelings; Bart Elen; João Barbosa Breda; Erwin Bellon; Matthew B. Blaschko; Patrick De Boever; Ingeborg Stalmans (CoRR, 2021)

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)

Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review. - Rita Marques; Danilo Andrade De Jesus; João Barbosa Breda; Jan Van Eijgen; Ingeborg Stalmans; Theo van Walsum; Stefan Klein 001; Pedro G. Vaz; Luisa Sánchez Brea (Comput. Methods Programs Biomed., 2022)

FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading. - Or Abramovich; Hadas Pizem; Jan Van Eijgen; Ingeborg Stalmans; Eytan Blumenthal; Joachim A. Behar (CoRR, 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)

A generalizable deep learning regression model for automated glaucoma screening from fundus images. - Ruben Hemelings; Bart Elen; Alexander K. Schuster; Matthew B. Blaschko; João Barbosa Breda; Pekko Hujanen; Annika Junglas; Stefan Nickels; Andrew White; Norbert Pfeiffer; Paul Mitchell; Patrick De Boever; et al. (npj Digit. Medicine, 2023)

Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging. - Pedro G. Vaz; Luisa Sánchez Brea; Vania Bastos Silva; Jan Van Eijgen; Ingeborg Stalmans; João Cardoso; Theo van Walsum; Stefan Klein 001; João Barbosa Breda; Danilo Andrade De Jesus (Comput. Medical Imaging Graph., 2023)

FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading. - Or Abramovich; Hadas Pizem; Jan Van Eijgen; Ilan Oren; Joshua Melamed; Ingeborg Stalmans; Eytan Blumenthal; Joachim A. Behar (Comput. Methods Programs Biomed., 2023)

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)