Towards a Generic Multi-agent Approach for Medical Image Segmentation. - Mohamed Tahar Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche (PRIMA, 2017)

Air Quality Monitoring Using IoT: A Survey. - Hocine Mokrani; Razika Lounas; Mohamed Tahar Bennai; Dhai Eddine Salhi; Rachid Djerbi (SmartIoT, 2019)

A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images. - Mohamed Tahar Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche (Artif. Intell. Medicine, 2020)

A Cooperative Approach Based on Local Detection of Similarities and Discontinuities for Brain MR Images Segmentation. - Mohamed Tahar Bennai; Smaine Mazouzi; Zahia Guessoum; Mohamed Mezghiche; Stéphane Cormier (J. Medical Syst., 2020)

Apprentissage profond & systèmes multi-agents : Application à la segmentation d'images médicales (poster). - Mohamed Tahar Bennai; Lyse Gallay; Zahia Guessoum; Stéphane Cormier; Smaine Mazouzi (JFSMA, 2022)

Multi-agent medical image segmentation: A survey. - Mohamed Tahar Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche (Comput. Methods Programs Biomed., 2023)

Detection of Atherosclerosis using Deep Learning. - Juliet Chebet Moso; Mohamed Tahar Bennai; Zahia Guessoum; Stéphane Cormier; Jasminka Hasic Telalovic (RIF, 2024)