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ORCIDMohammed El Adoui
Person information
- affiliation: University of Mons, Computer Science Unit, Faculty of Engineering, Belgium
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2020 – today
- 2025
[j6]Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay:
Industrial and medical anomaly detection through cycle-consistent adversarial networks. Neurocomputing 614: 128762 (2025)- 2024
- [j5]Arnaud Bougaham
, Mohammed El Adoui, Isabelle Linden, Benoît Frénay:
Composite score for anomaly detection in imbalanced real-world industrial dataset. Mach. Learn. 113(7): 4381-4406 (2024) - [j4]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): 51:1-51:23 (2024) - 2023
- [i3]Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay:
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks. CoRR abs/2302.05154 (2023) - 2022
- [i2]Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay:
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset. CoRR abs/2211.15513 (2022) - 2021
- [b1]Mohammed El Adoui:
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). University of Mons, Belgium, 2021 - 2020
- [j3]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): 1491-1500 (2020) - [c7]Yassine Amkrane, Mohammed El Adoui, Mohammed Benjelloun:
Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics. Cloudtech 2020: 1-5 - [i1]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 abs/2001.08570 (2020)
2010 – 2019
- 2019
- [j2]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): 52 (2019) - [c6]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: 33-40 - [c5]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: 109502I - 2018
- [j1]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): 1233-1243 (2018) - [c4]Mohammed Benjelloun, Mohammed El Adoui, Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi:
Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning. Cloudtech 2018: 1-6 - [c3]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: 1-6 - 2017
- [c2]Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun:
Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration. ICSDE 2017: 56-63 - [c1]Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohamed Amine Larhmam, Fabian Lecron:
Cloud-based platform for computer vision applications. ICSDE 2017: 195-200
Coauthor Index
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