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Mohammed El Adoui
Mohammed El Adoui
(Ph.D.) 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
652019
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
292020
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
262018
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
212018
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
162018
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
152017
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
112020
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
112019
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
102019
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
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
92020
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
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
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
Prospective evaluation by Parametric Response Mapping (PRM) applied in MRI volumetric images of breast cancer
M EL ADOUI, S Drisis, M Benjelloun
1*2016
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
New Explainable Deep CNN Design for Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy.
ME Adoui, S Drisis, M Benjelloun
Current Medical Imaging, 2022
2022
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
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 …
M El Adoui
University of Mons, Belgium, 2021
2021
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