Spatio-temporal saliency detection using objectness measure. - Khawla Brahim; Rahma Kalboussi; Mehrez Abdellaoui; Ali Douik (Signal Image Video Process., 2019)

A deep learning approach for the segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (ICPR, 2020)

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (IPTA, 2020)

Efficient 3D Deep Learning for Myocardial Diseases Segmentation. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Deep learning architectures for automatic detection of viable myocardiac segments. (Architectures d'apprentissage profond pour la détection automatique de segments myocardiques viables). - Khawla Brahim (2021)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net). - Khawla Brahim; Tewodros Weldebirhan Arega; Arnaud Boucher; Stéphanie Bricq; Anis Sakly; Fabrice Mériaudeau (Sensors, 2022)

Facsimiles-based deep learning for matching relief-printed decorations on medieval ceramic sherds. - Khawla Brahim; Sylvie Treuillet; Matthieu Exbrayat; Sébastien Jesset (ICCV (Workshops), 2023)