On the positive semi-definite property of similarity matrices. - Rafic Nader; Alain Bretto; Bassam Mourad; Hassan Abbas (Theor. Comput. Sci., 2019)

Α study cοncerning the pοsitive semi-definite prοperty fοr similarity matrices and fοr dοubly stοchastic matrices with sοme applicatiοns. (Une étude concernant la propriété semi-définie positive des matrices de similarité et des matrices doublement stochastiques avec certaines applications). - Rafic Nader (2019)

Toward a 3D Arterial Tree Bifurcation Model for Intra-Cranial Aneurysm Detection and Segmentation. - Florent Autrusseau; Rafic Nader; Anass Nouri; Vincent L'Allinec; Romain Bourcier (ICPR, 2022)

Automatic teeth segmentation on panoramic X-rays using deep neural networks. - Rafic Nader; Andrey Smorodin; Natalia De La Fournière; Yves Amouriq; Florent Autrusseau (ICPR, 2022)

Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis. - Rafic Nader; Romain Bourcier; Florent Autrusseau (Medical Image Anal., 2023)

Synthetic Vascular Models : Application to Bifurcation Classification and Aneurysm Detection. - Rafic Nader; Vincent L'Allinec; Romain Bourcier; Florent Autrusseau (ICPR (24), 2024)

A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks. - Rafic Nader; Florent Autrusseau; Vincent L'Allinec; Romain Bourcier (CoRR, 2024)

Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario. - Rafic Nader; Florent Autrusseau; Vincent L'Allinec; Romain Bourcier (IEEE Trans. Medical Imaging, 2025)

Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection. - Rafic Nader; Vincent L'Allinec; Romain Bourcier; Florent Autrusseau (CoRR, 2025)