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Mohammed El Adoui
Mohammed El Adoui
Postdoc associate / Sr. ML Engineer /Faculty of Computer Science/ University of Namur/ Belgium
Verified email at unamur.be - Homepage
Title
Cited by
Cited by
Year
MRI breast tumor segmentation using different encoder and decoder CNN architectures
M El Adoui, SA Mahmoudi, MA Larhmam, M Benjelloun
Computers 8 (3), 52, 2019
742019
Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images
M El Adoui, S Drisis, M Benjelloun
International journal of computer assisted radiology and surgery 15, 1491-1500, 2020
372020
Automated breast tumor segmentation in DCE-MRI using deep learning
M Benjelloun, M El Adoui, MA Larhmam, SA Mahmoudi
2018 4th International Conference on Cloud Computing Technologies and …, 2018
302018
Internet of things: learning and practices. application to smart city
O Debauche, S Mahmoudi, SA Mahmoudi
2018 4th International Conference on Cloud Computing Technologies and …, 2018
222018
Breast Cancer Heterogeneity Analysis as Index of Response to Treatment Using MRI Images: A Review
M El Adoui, S Drisis, MA Larhmam, M Lemort, M Benjelloun
Imaging in Medicine 9 (4), 109-119, 2017
192017
A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images
M El Adoui, S Drisis, M Benjelloun
International journal of computer assisted radiology and surgery 13, 1233-1243, 2018
182018
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: a multi-institutional validation study
N Braman, ME Adoui, M Vulchi, P Turk, M Etesami, P Fu, K Bera, S Drisis, ...
arXiv preprint arXiv:2001.08570, 2020
162020
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy
M El Adoui, MA Larhmam, S Drisis, M Benjelloun
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 649-658, 2019
142019
Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data
M El Adoui, S Drisis, M Benjelloun
Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019
122019
Towards breast cancer response prediction using artificial intelligence and radiomics
Y Amkrane, M El Adoui, M Benjelloun
2020 5th International Conference on Cloud Computing and Artificial …, 2020
112020
Cloud-based platform for computer vision applications
SA Mahmoudi, M El ADOUI, MA Belarbi, MA Larhmam, F Lecron
ICSDE '17 Proceedings of the 2017 International Conference on Smart Digital …, 2017
102017
Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration
M EL ADOUI, S Drisis, M Benjelloun
ICSDE '17: Proceedings of the 2017 International Conference on Smart Digital …, 2017
82017
Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.
M Vulchi, M El Adoui, N Braman, P Turk, M Etesami, S Drisis, D Plecha, ...
Journal of Clinical Oncology 37 (15_suppl), 593-593, 2019
72019
Early prediction of neoadjuvant treatment outcome in locally advanced breast cancer using parametric response mapping and radial heterogeneity from breast MRI.
S Drisis, M El Adoui
7*
Real time web-based toolbox for computer vision
SA Mahmoudi, MA Belarbi, M El Adoui, MA Larhmam, F Lecron
Journal of Science and Technology of the Arts 10 (2), 3-13, 2018
62018
Prospective evaluation by Parametric Response Mapping (PRM) applied in MRI volumetric images of breast cancer
M EL ADOUI, S Drisis, M Benjelloun
2*2016
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
A Bougaham, ME Adoui, I Linden, B Frénay
arXiv preprint arXiv:2211.15513, 2022
12022
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
A Bougaham, V Delchevalerie, ME Adoui, B Frénay
arXiv preprint arXiv:2302.05154, 2023
2023
Explainable deep learning approach to predict chemotherapy effect on breast tumor’s MRI
M El Adoui, MA Larhmam, S Drisis, M Benjelloun
State of the Art in Neural Networks and Their Applications, 147-156, 2023
2023
Constrained Tiny Machine Learning for Predicting Gas Concentration with I4. 0 Low-cost Sensors
ME Adoui, T Herpoel, B Frénay
ACM Transactions on Embedded Computing Systems, 2022
2022
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