| 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 | 12 | 2019 |
| 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 | 12 | 2018 |
| 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 | 11 | 2017 |
| 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 | 9 | 2018 |
| 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 | 8 | 2017 |
| 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 | 5 | 2018 |
| 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 | 5 | 2017 |
| 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 | 4 | 2019 |
| 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 | 3 | 2019 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 2 | 2018 |
| 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* | |
| 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 | | 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 |
| Mohammed El Adoui, Stylianos Drisis & M Benjelloun Int J CARS 13, 1233-1243, 2018 | | 2018 |
| L’Internet des Objets met la lumière dans tous ses états S Mahmoudi, O Debauche, M El Adoui, MA Belarbi Polytech. News 55, 2017 | | 2017 |
| Cloud-based Toolbox for Computer Vision SA Mahmoudi, M EL ADOUI, MA Belarbi, MA Larhmam, F Lecron | | 2017 |
