Mohammed El Adoui
Mohammed El Adoui
Ph.D. Faculty of engineering/ Computer Science Unit/ University Of Mons/ Belgium
Adresse e-mail validée de umons.ac.be
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Année
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
272019
Internet of things: Learning and practices. application to smart home
O Debauche, S Mahmoudi, MA Belarbi, M El Adoui, SA Mahmoudi
2018 International Conference on Advanced Communication Technologies and …, 2018
142018
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
142017
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
122018
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 (8 …, 2018
122018
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
92017
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
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 (9 …, 2020
72020
Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data
M El Adoui, S Drisis, M Benjelloun
International work-conference on bioinformatics and biomedical engineering …, 2019
72019
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, 109502I, 2019
62019
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
52020
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
52019
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
52018
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
2*
Prospective evaluation by Parametric Response Mapping (PRM) applied in MRI volumetric images of breast cancer
M EL ADOUI, S Drisis, M Benjelloun
1*2016
Prédiction de l’efficacité de la chimiothérapie appliquée au cancer du sein par le traitement d’images et le Deep Learning
M El Adoui
Université de Mons (UMONS), 2021
2021
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
2020
Abstract P4-10-13: Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site study
N Braman, M El Adoui, M Vulchi, P Turk, M Etesami, P Fu, S Drisis, ...
Cancer Research 80 (4 Supplement), P4-10-13-P4-10-13, 2020
2020
Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site study
N Braman, M El Adoui, M Vulchi, P Turk, M Etesami, P Fu, S Drisis, ...
CANCER RESEARCH 80 (4), 2020
2020
3D Deep Learning approach to predict breast tumor response to chemotherapy using two DCE-MRI volumes
M El Adoui, S Drisis, M Benjelloun
International Journal of Computer Assisted Radiology and Surgery 14 (CARS …, 2019
2019
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