Classification of prostate magnetic resonance spectra using Support Vector Machine. - Sébastien Parfait; Paul Michael Walker; Gilles Créhange; Xavier Tizon; Johel Mitéran (Biomed. Signal Process. Control., 2012)

Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy. - Eugenia Mylona; Clement Lebreton; Pierre Fontaine; Stéphane Supiot; Nicolas Magne; Gilles Créhange; Renaud de Crevoisier; Oscar Acosta (BIBE, 2019)

Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy. - Kibrom Berihu Girum; Gilles Créhange; Raabid Hussain; Paul Michael Walker; Alain Lalande (AIRT@MICCAI, 2019)

Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks. - Kibrom Berihu Girum; Youssef Skandarani; Raabid Hussain; Alexis Bozorg Grayeli; Gilles Créhange; Alain Lalande (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Fast interactive medical image segmentation with weakly supervised deep learning method. - Kibrom Berihu Girum; Gilles Créhange; Raabid Hussain; Alain Lalande (Int. J. Comput. Assist. Radiol. Surg., 2020)

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy. - Kibrom Berihu Girum; Alain Lalande; Raabid Hussain; Gilles Créhange (Int. J. Comput. Assist. Radiol. Surg., 2020)

Learning With Context Feedback Loop for Robust Medical Image Segmentation. - Kibrom Berihu Girum; Gilles Créhange; Alain Lalande (IEEE Trans. Medical Imaging, 2021)