Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images. - Mostefa Ben Naceur; Rachida Saouli; Mohamed Akil; Rostom Kachouri (Comput. Methods Programs Biomed., 2018)

Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results. - Mostefa Ben Naceur; Mohamed Akil; Rachida Saouli; Rostom Kachouri (BrainLes@MICCAI (2), 2019)

A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors. - Mostefa Ben Naceur; Rostom Kachouri; Mohamed Akil; Rachida Saouli (IWANN (2), 2019)

Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy. - Mostefa Ben Naceur; Mohamed Akil; Rachida Saouli; Rostom Kachouri (Medical Image Anal., 2020)

Deep Neural Networks for the segmentation and classification in Medical Imaging. (Apprentissage en profondeur d'un réseau de neurones pour la segmentation et la classification en Imagerie Médicale). - Mostefa Ben Naceur (2020)

Lightweight Deep Symmetric Positive Definite Manifold Network for Real-Time 3D Hand Gesture Recognition. - Mostefa Ben Naceur; Luc Brun; Olivier Lézoray (FG, 2021)