Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation. - Yaroub Elloumi; Mohamed Akil; Henda Boudegga (CoRR, 2019)

Fast and efficient retinal blood vessel segmentation method based on deep learning network. - Henda Boudegga; Yaroub Elloumi; Mohamed Akil; Mohamed Hedi Bedoui; Rostom Kachouri; Asma Ben Abdallah (Comput. Medical Imaging Graph., 2021)

Extended U-net for Retinal Vessel Segmentation. - Henda Boudegga; Yaroub Elloumi; Rostom Kachouri; Asma Ben Abdallah; Mohamed Hédi Bedoui (ICCCI (CCIS Volume), 2022)

Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels. - Henda Boudegga; Yaroub Elloumi; Rostom Kachouri; Asma Ben Abdallah; Mohamed Hedi Bedoui (CoDIT, 2023)

Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture. - Henda Boudegga; Yaroub Elloumi; Asma Ben Abdallah; Rostom Kachouri; Mohamed Hedi Bedoui (ESANN, 2023)

Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion. - Henda Boudegga; Yaroub Elloumi; Rostom Kachouri; Asma Ben Abdallah; Nesrine Abroug; Mohamed Hedi Bedoui (Int. J. Imaging Syst. Technol., 2025)