X-rays image segmentation. - Yazid Cherfa; Yacine Kabir; Redouane Drai (NSIP, 1999)

Segmentation of Magnetic Resonance Brain Images Using Edge and Region Cooperation Characterization of Stroke Lesions. - Yazid Cherfa; Assia Cherfa; Yacine Kabir; Sammyh Kassous; Assia Jaillard; Michel Dojat; Catherine Garbay (Int. Arab J. Inf. Technol., 2007)

An Active Contour Based Method for Image Binarization: Application to Degraded Historical Document Images. - Zineb Hadjadj; Abdelkrim Meziane; Mohamed Cheriet; Yazid Cherfa (ICFHR, 2014)

ISauvola: Improved Sauvola's Algorithm for Document Image Binarization. - Zineb Hadjadj; Abdelkrim Meziane; Yazid Cherfa; Mohamed Cheriet; Insaf Setitra (ICIAR, 2016)

A new efficient binarization method: application to degraded historical document images. - Zineb Hadjadj; Mohamed Cheriet; Abdelkrim Meziane; Yazid Cherfa (Signal Image Video Process., 2017)

Automatic brain tumor segmentation for a computer-aided diagnosis system. - Mohammed Abdelaziz; Yazid Cherfa; Assia Cherfa; Fatiha Alim-Ferhat (Int. J. Imaging Syst. Technol., 2021)

Hybrid method combining superpixel, supervised learning, and random walk for glioma segmentation. - Linda Ait Mohamed; Assia Cherfa; Yazid Cherfa; Noureddine Belkhamsa; Fatiha Alim-Ferhat (Int. J. Imaging Syst. Technol., 2021)

An automated segmentation of coronary artery calcification using deep learning in specific region limitation. - Asmae Mama Zair; Assia Bouzouad Cherfa; Yazid Cherfa; Noureddine Belkhamsa (Medical Biol. Eng. Comput., 2023)

Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines. - Latifa Houria; Noureddine Belkhamsa; Assia Cherfa; Yazid Cherfa (Int. J. Imaging Syst. Technol., 2023)

A CNN and spatial tract-based statistics-based approach for the diagnosis of Alzheimer's disease. - Latifa Houria; Noureddine Belkhamsa; Assia Cherfa; Yazid Cherfa (Int. J. Medical Eng. Informatics, 2024)

Segmentation and Classification of Breast Masses From the Whole Mammography Images Using Transfer Learning and BI-RADS Characteristics. - Hayette Oudjer; Assia Cherfa; Yazid Cherfa; Noureddine Belkhamsa (Int. J. Imaging Syst. Technol., 2024)

An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images. - Sihem Nour Elhouda Toumi; Noureddine Belkhamsa; Yazid Cherfa; Assia Bouzouad Cherfa (Int. J. Imaging Syst. Technol., 2024)