Mohammed El Adoui

According to our database, Mohammed El Adoui authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Industrial and medical anomaly detection through cycle-consistent adversarial networks.

Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay

Neurocomputing, 2025

2024

Composite score for anomaly detection in imbalanced real-world industrial dataset.

Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay

Mach. Learn., July, 2024

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., May, 2024

2021

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

PhD thesis, 2021

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, Anant Madabhushi

CoRR, 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

Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics.

Yassine Amkrane, Mohammed El Adoui, Mohammed Benjelloun

Proceedings of the 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, 2020

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

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data.

Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

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

Internet of Things: Learning and practices. Application to smart home.

Olivier Debauche, Saïd Mahmoudi, Mohammed Amin Belarbi, Mohammed El Adoui, Sidi Ahmed Mahmoudi

Proceedings of the International Conference on Advanced Communication Technologies and Networking, 2018

Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning.

Mohammed Benjelloun, Mohammed El Adoui, Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi

Proceedings of the 2018 4th International Conference on Cloud Computing Technologies and Applications, 2018

2017

Cloud-based platform for computer vision applications.

Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohamed Amine Larhmam, Fabian Lecron

Proceedings of the 2017 International Conference on Smart Digital Environment, 2017

Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration.

Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun

Proceedings of the 2017 International Conference on Smart Digital Environment, 2017