| 2024 | CHIRA | Pervasive Aided Screening System of Multiple Sclerosis from Retinal OCT Images. | Sabrin Ouni, Yaroub Elloumi, Raoudha Ben Djemaa |
| 2023 | CoDIT | 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 |
| 2023 | ESANN | 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 |
| 2022 | CGI | Automated Diagnosis of Retinal Neovascularization Pathologies from Color Retinal Fundus Images. | Rahma Boukadida, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hedi Bedoui |
| 2022 | CoDIT | Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology. | El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Mohamed Hedi Bedoui, Idriss Benatiya Andaloussi, Ali Ahaitouf |
| 2022 | ICCCI | Extended U-net for Retinal Vessel Segmentation. | Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hdi Bedoui |
| 2022 | IDA | End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network. | Yaroub Elloumi, Nesrine Abroug, Mohamed Hedi Bedoui |
| 2021 | AIME | Mobile Aided System of Deep-Learning Based Cataract Grading from Fundus Images. | Yaroub Elloumi |
| 2020 | ICMV | Fast and accurate mobile-aided screening system of moderate diabetic retinopathy. | Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui |
| 2013 | DSD | Execution Time and Code Size Optimization Using Multidimensional Retiming and Loop Striping. | Yaroub Elloumi, Mohamed Akil, Mohamed Bedoui Hedi |