Brief review of multiple sclerosis lesions segmentation methods on conventional magnetic resonance imaging. - Olfa Ghribi; Ines Njeh; Ahmed Ben Hamida; Wassim Zouch; Chokri Mhiri (ATSIP, 2014)

Glioblastoma MRT exploration based on segmentation methods' comparison: Towards an advanced clinical aided tool. - Hana Bouchouicha; Olfa Ghribi; Ahmed Ben Hamida; Chokri Mhiri; Mariem Dammak; Kheireddine Ben Mahfoudh; Omar Kammoun (ATSIP, 2018)

Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction. - Olfa Ghribi; Lamia Sellami; Mohamed Ben Slima; Chokri Mhiri; Mariem Dammak; Ahmed Ben Hamida (Biomed. Signal Process. Control., 2018)

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. - Olfa Ghribi; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2019)

Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system. - Olfa Ghribi; Amira Maalej; Lamia Sellami; Mohamed Ben Slima; Mohamed Ayman Maalej; Khaireddine Ben Mahfoudh; Mariem Dammak; Chokri Mhiri; Ahmed Ben Hamida (Biomed. Signal Process. Control., 2019)

Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. - Olfa Ghribi; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (Medical Image Anal., 2021)