Computer Aided Detection for Low-Dose CT Colonography. - Gabriel Kiss; Johan Van Cleynenbreugel; Stylianos Drisis; Didier Bielen; Guy Marchal; Paul Suetens (MICCAI, 2005)

Plaque and Stent Artifact Reduction in Subtraction CT Angiography Using Nonrigid Registration and a Volume Penalty. - Dirk Loeckx; Stylianos Drisis; Frederik Maes; Dirk Vandermeulen; Guy Marchal; Paul Suetens (MICCAI (2), 2005)

Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration. - Mohammed El Adoui; Stylianos Drisis; Mohammed Benjelloun (ICSDE, 2017)

A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI. - Mohamed Amine Larhmam; Saïd Mahmoudi; Stylianos Drisis; Mohammed Benjelloun (IWBBIO (2), 2018)

A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images. - Mohammed El Adoui; Stylianos Drisis; Mohammed Benjelloun (Int. J. Comput. Assist. Radiol. Surg., 2018)

Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data. - Mohammed El Adoui; Stylianos Drisis; Mohammed Benjelloun (IWBBIO (2), 2019)

Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy. - Mohammed El Adoui; Mohamed Amine Larhmam; Stylianos Drisis; Mohammed Benjelloun (Computer-Aided Diagnosis, 2019)

Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images. - Mohammed El Adoui; Stylianos Drisis; Mohammed Benjelloun (Int. J. Comput. Assist. Radiol. Surg., 2020)

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. - Nathaniel Braman; Mohammed El Adoui; Manasa Vulchi; Paulette Turk; Maryam Etesami; Pingfu Fu; Kaustav Bera; Stylianos Drisis; Vinay Varadan; Donna Plecha; Mohammed Benjelloun; Jame Abraham; et al. (CoRR, 2020)