Latency and power optimization in AAA methodology for integrated circuits. - Yaroub Elloumi; Mohamed Akil; Thierry Grandpierre; Mohamed Bedoui Hedi (ICECS, 2010)

Execution Time Optimization Using Delayed Multidimensional Retiming. - Yaroub Elloumi; Mohamed Akil; Mohamed Bedoui Hedi (DS-RT, 2012)

Timing and Code Size Optimization on Achieving Full Parallelism in Uniform Nested Loops - Yaroub Elloumi; Mohamed Akil; Mohamed Bedoui Hedi (CoRR, 2012)

Execution Time and Code Size Optimization Using Multidimensional Retiming and Loop Striping. - Yaroub Elloumi; Mohamed Akil; Mohamed Bedoui Hedi (DSD, 2013)

Parallélisme des nids de boucles pour l'optimisation du temps d'exécution et de la taille du code. (Nested loop parallelism to optimize execution time and code size). - Yaroub Elloumi (2013)

WCET nested-loop minimization in terms of instruction-level-parallelism. - Yaroub Elloumi; Mohamed Akil; Mohamed Hedi Bedoui (HPCS, 2015)

Execution time optimisation using delayed multidimensional retiming. - Yaroub Elloumi; Mohamed Akil; Mohamed Hedi Bedoui (Int. J. High Perform. Syst. Archit., 2015)

A mobile computer aided system for optic nerve head detection. - Yaroub Elloumi; Mohamed Akil; Nasser Kehtarnavaz (Comput. Methods Programs Biomed., 2018)

Brief Paper: A Computationally Efficient Retina Detection and Enhancement Image Processing Pipeline for Smartphone-Captured Fundus Images. - Yaroub Elloumi; Mohamed Akil; Nasser Kehtarnavaz (J. Multim. Inf. Syst., 2018)

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 accurate mobile-aided screening system of moderate diabetic retinopathy. - Yaroub Elloumi; Mohamed Akil; Mohamed Hedi Bedoui (ICMV, 2020)

Efficient graphical-processor-unit parallelization algorithm for computing Eigen values. - Sofien Bensayadia; Yaroub Elloumi; Mohamed Akil; Mohamed Hédi Bedoui (J. Electronic Imaging, 2020)

Parallel computation of Watershed Transform in weighted graphs on shared memory machines. - Yosra Braham; Yaroub Elloumi; Mohamed Akil; Mohamed Hedi Bedoui (J. Real Time Image Process., 2020)

Mobile Aided System of Deep-Learning Based Cataract Grading from Fundus Images. - Yaroub Elloumi (AIME, 2021)

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)

Mobile-aided screening system for proliferative diabetic retinopathy. - Rahma Boukadida; Yaroub Elloumi; Mohamed Akil; Mohamed Hedi Bedoui (Int. J. Imaging Syst. Technol., 2021)

Automated Diagnosis of Retinal Neovascularization Pathologies from Color Retinal Fundus Images. - Rahma Boukadida; Yaroub Elloumi; Rostom Kachouri; Asma Ben Abdallah; Mohamed Hedi Bedoui (CGI, 2022)

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 (CoDIT, 2022)

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

End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network. - Yaroub Elloumi; Nesrine Abroug; Mohamed Hedi Bedoui (IDA, 2022)

Cataract grading method based on deep convolutional neural networks and stacking ensemble learning. - Yaroub Elloumi (Int. J. Imaging Syst. Technol., 2022)

Automated method for real-time AMD screening of fundus images dedicated for mobile devices. - Sofien Bensayadia; Yaroub Elloumi; Rostom Kachouri; Mohamed Akil; Asma Ben Abdallah; Mohamed Hedi Bedoui (Medical Biol. Eng. Comput., 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)

A Robustness Study of Machine Learning Based Methods for Macula Detection in Pathological Fundus Images. - Yaroub Elloumi; Rostom Kachouri (IPTA, 2023)

Pervasive Aided Screening System of Multiple Sclerosis from Retinal OCT Images. - Sabrin Ouni; Yaroub Elloumi; Raoudha Ben Djemaa (CHIRA (2), 2024)

High Performance and Low Complexity Retinal Vessel Segmentation Method Based on Extended DCNN. - Mouna Abdelf Attah; Yaroub Elloumi; Rostom Kachouri (IPTA, 2024)

Ensemble learning based method for severity detection of Age-Related Macular Degeneration. - Hedi Missaoui; Yaroub Elloumi; Rostom Kachouri (IPTA, 2024)

Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images. - El-Mehdi Chakour; Yasmine Mrad; Anass Mansouri; Yaroub Elloumi; Idriss Benatiya Andaloussi; Mohamed Hedi Bedoui; Ali Ahaitouf (Appl. Comput. Intell. Soft Comput., 2025)

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)