Mohammed El Adoui

17 papers Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Industrial and medical anomaly detection through cycle-consistent adversarial networks.
Neurocomputing
Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
2024 J jnl
Composite score for anomaly detection in imbalanced real-world industrial dataset.
Mach. Learn.
Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay
2024 J jnl
Constrained Tiny Machine Learning for Predicting Gas Concentration with I4.0 Low-cost Sensors.
ACM Trans. Embed. Comput. Syst.
Mohammed El Adoui, Thomas Herpoel, Benoît Frénay
2023 J jnl
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks.
CoRR
Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
2022 J jnl
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset.
CoRR
Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay
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
2020 J jnl
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.
CoRR
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
2020 J jnl
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
Int. J. Comput. Assist. Radiol. Surg.
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
2020 — conf
Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics.
Cloudtech
Yassine Amkrane, Mohammed El Adoui, Mohammed Benjelloun
2019 — conf
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy.
Computer-Aided Diagnosis
Mohammed El Adoui, Mohamed Amine Larhmam, Stylianos Drisis, Mohammed Benjelloun
2019 J jnl
MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures.
Comput.
Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam, Mohammed Benjelloun
2019 — conf
Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data.
IWBBIO (2)
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
2018 J jnl
A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images.
Int. J. Comput. Assist. Radiol. Surg.
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
2018 — conf
Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning.
Cloudtech
Mohammed Benjelloun, Mohammed El Adoui, Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi
2018 — conf
Internet of Things: Learning and practices. Application to smart home.
CommNet
Olivier Debauche, Saïd Mahmoudi, Mohammed Amin Belarbi, Mohammed El Adoui, Sidi Ahmed Mahmoudi
2017 — conf
Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration.
ICSDE
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
2017 — conf
Cloud-based platform for computer vision applications.
ICSDE
Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohamed Amine Larhmam, Fabian Lecron