Mohammed El Adoui

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Anomaly Detection

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Mohammed El Adoui, Thomas Herpoel, Benoît Frénay
Constrained Tiny Machine Learning for Predicting Gas Concentration with I4.0 Low-cost Sensors. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay
Composite score for anomaly detection in imbalanced real-world industrial dataset. Mach. Learn. 113 (7) (2024)
Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks. CoRR (2023)
Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset. CoRR (2022)
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images. Int. J. Comput. Assist. Radiol. Surg. 15 (9) (2020)
Yassine Amkrane, Mohammed El Adoui, Mohammed Benjelloun
Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics. Cloudtech (2020)
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
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. CoRR (2020)
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data. IWBBIO (2) (2019)
Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam, Mohammed Benjelloun
MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures. Comput. 8 (3) (2019)
Mohammed El Adoui, Mohamed Amine Larhmam, Stylianos Drisis, Mohammed Benjelloun
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2019)
Olivier Debauche, Saïd Mahmoudi, Mohammed Amin Belarbi, Mohammed El Adoui, Sidi Ahmed Mahmoudi
Internet of Things: Learning and practices. Application to smart home. CommNet (2018)
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images. Int. J. Comput. Assist. Radiol. Surg. 13 (8) (2018)
Mohammed Benjelloun, Mohammed El Adoui, Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi
Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning. Cloudtech (2018)
Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration. ICSDE (2017)
Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohamed Amine Larhmam, Fabian Lecron
Cloud-based platform for computer vision applications. ICSDE (2017)