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

Cloud-based platform for computer vision applications. - Sidi Ahmed Mahmoudi; Mohammed El Adoui; Mohammed Amin Belarbi; Mohamed Amine Larhmam; Fabian Lecron (ICSDE, 2017)

Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning. - Mohammed Benjelloun; Mohammed El Adoui; Mohamed Amine Larhmam; Sidi Ahmed Mahmoudi (Cloudtech, 2018)

Internet of Things: Learning and practices. Application to smart home. - Olivier Debauche; Saïd Mahmoudi; Mohammed Amin Belarbi; Mohammed El Adoui; Sidi Ahmed Mahmoudi (CommNet, 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)

MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures. - Mohammed El Adoui; Sidi Ahmed Mahmoudi; Mohamed Amine Larhmam; Mohammed Benjelloun (Comput., 2019)

Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics. - Yassine Amkrane; Mohammed El Adoui; Mohammed Benjelloun (Cloudtech, 2020)

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)

Prédiction de l'efficacité de la chimiothérapie appliquée au cancer du sein par le traitement d'images et le Deep Learning. (Predicting the Breast Cancer response to Chemotherapy by Image Processing and Deep Learning). - Mohammed El Adoui (2021)

Constrained Tiny Machine Learning for Predicting Gas Concentration with I4.0 Low-cost Sensors. - Mohammed El Adoui; Thomas Herpoel; Benoît Frénay (ACM Trans. Embed. Comput. Syst., 2024)

Composite score for anomaly detection in imbalanced real-world industrial dataset. - Arnaud Bougaham; Mohammed El Adoui; Isabelle Linden; Benoît Frénay (Mach. Learn., 2024)

Industrial and medical anomaly detection through cycle-consistent adversarial networks. - Arnaud Bougaham; Valentin Delchevalerie; Mohammed El Adoui; Benoît Frénay (Neurocomputing, 2025)