Mohammed EL ADOUI
Nombre de publications : 27
2020
Périodiques scientifiques/Article
  • El Adoui, M., Drisis, S., & Benjelloun, M. (16 June 2020). Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images. "International Journal of Computer Assisted Radiology and Surgery, 1861-6429".
  • Braman, N., El Adoui, M., Drisis, S., Vulchi, M., Benjelloun, M., Madabhushi, A., & (en collaboration avec 6 autres personnes ). (24 January 2020). Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. "Nature Communications, 2020" (2020), 2001-2034.
Colloques et congrès scientifiques/Communication publiée dans un périodique
  • Amkrane, Y., El Adoui, M., & Benjelloun, M. (2020). "Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics". Paper presented at The 5th IEEE International Conference on Cloud Computing Technologies and Applications, Marrakech, Morocco.
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2019
Périodiques scientifiques/Article
  • Stylianos, D., El Adoui, M., Flamen, P., Benjelloun, M., Dewind, R., Paesmans, M., Ignatiadis, M., Bali, M., & Lemort, M. (2019). Early prediction of neoadjuvant treatment outcome in locally advanced breast cancer using parametric response mapping and radial heterogeneity from breast MRI. "Journal of Magnetic Resonance Imaging".
  • El Adoui, M., Mahmoudi, S., LARHMAM, M. A., & Benjelloun, M. (29 June 2019). MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures. "Computers, 8" (3), 52-63. doi:10.3390/computers8030052
  • El Adoui, M., Drisis, S., & Benjelloun, M. (2019). 3D Deep Learning approach to predict breast tumor response to chemotherapy using two DCE-MRI volumes. "International Journal of Computer Assisted Radiology and Surgery".
  • El Adoui, M., Vulchi, M., Braman, N., Turk, P., Etesami, M., Drisis, S., Plecha, D., Benjelloun, M., Madabhushi, A., & Abraham, J. (26 May 2019). Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI. "Journal of Clinical Oncology, 37" (15), 593-593. doi:10.1200/JCO.2019.37.15_suppl.593
Colloques et congrès scientifiques/Communication orale non publiée/Abstract
  • Amkrane, Y., El Adoui, M., & Benjelloun, M. (22 November 2019). "Analysing Breast cancer reaction to chemotherapy using Radiomics". Paper presented at Grascomp Doctoral Day (GDD'19), UNamur, Belgium.
Colloques et congrès scientifiques/Communication publiée dans un périodique
  • El Adoui, M., Braman, N., Vulchi, M., Turk, P., Etesami, M., Plecha, D., Stylianos, D., Benjelloun, M., Abraham, J., & Madabhushi, A. (2019). "Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site study". Paper presented at SAN ANTONIO BREAST CANCER SYMPOSIUM, San Antonio, United States - Texas.
  • Benjelloun, M., El Adoui, M., LARHMAM, M. A., & Mahmoudi, S. (2019). "Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning". Paper presented at The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium.
  • El Adoui, M., Drisis, S., & Benjelloun, M. (2019). "Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data". Paper presented at International Work-Conference on Bioinformatics and Biomedical Engineering, Granada, Spain.
  • El Adoui, M., LARHMAM, M. A., Drisis, S., & Benjelloun, M. (2019). "Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy". Paper presented at SPIE MEDICAL IMAGING Computer-Aided Diagnosis, San Diego, United States - California.
Colloques et congrès scientifiques/Communication poster
  • Amkrane, Y., El Adoui, M., & Benjelloun, M. (18 March 2019). "Approches d'imagerie et machine learning pour la prédiction de la réponse d'un cancer du sein à la chimiothérapie". Poster session presented at Workshop UMHAP Medical Research Center, Mons, Belgium.
  • Amkrane, Y., El Adoui, M., & Benjelloun, M. (05 March 2019). "Breast cancer response to chemotherapy by Radiomics". Poster session presented at Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium.
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2018
Périodiques scientifiques/Article
  • Mahmoudi, S., Belarbi, M. A., El Adoui, M., Larhmam, M., & Lecron, F. (2018). Real Time Web-based Toolbox for Computer Vision. "Journal of Science and Technology of the Arts".
  • El Adoui, M., Drisis, S., & Benjelloun, M. (2018). A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images. "International Journal of Computer Assisted Radiology and Surgery".
Colloques et congrès scientifiques/Communication orale non publiée/Abstract
  • El Adoui, M., & Benjelloun, M. (02 July 2018). "A Deep Learning approach to predict breast cancer response to chemotherapy using DCE-MRI images". Paper presented at VISion Understanding and Machine intelligence - VISUM 2018, Porto, Portugal.
  • Larhmam, M., El Adoui, M., & Benjelloun, M. (26 March 2018). "Evaluating Deep Features for Breast Cancer Response Prediction in MRI Based on GPU Learning". Paper presented at AI & Deep Learning Conference, GTC 2018, NVIDIA, San Jose, United States - California.
Colloques et congrès scientifiques/Communication publiée dans un périodique
  • Debauche, O., Mahmoudi, S., Belarbi, M. A., El Adoui, M., & Mahmoudi, S. (2018). "Internet of Things: learning and practices: Application to Smart Home". Paper presented at International Conference on Advanced Communication Technologies and Networking (CommNet'18), Marrakech, Morocco. doi:10.1109/COMMNET.2018.8360247
Colloques et congrès scientifiques/Communication poster
  • El Adoui, M., & Benjelloun, M. (27 March 2018). "The Prediction Of Breast Cancer Response To Chemotherapy By Deep Learning". Poster session presented at Mardi des chercheurs MDC'18, Wallers Arenberg, France.
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2017
Périodiques scientifiques/Article
  • El Adoui, M., Drisis, S., Larhmam, M., Lemort, M., & Benjelloun, M. (20 September 2017). Breast cancer heterogeneity analysis as index of response to treatment using MRI images: A review. "Imaging in Medicine, 9" (4), 109-119.
Colloques et congrès scientifiques/Communication publiée dans un périodique
  • El Adoui, M., Drisis, S., & Benjelloun, M. (2017). "Analyzing Breast Tumor Heterogeneity To Predict The Response To Chemotherapy Using 3D MR Images Registration". Paper presented at International Conference on Smart Digital Environment (ICSDE'17), Rabat, Morocco.
  • Mahmoudi, S., El Adoui, M., Belarbi, M. A., Larhmam, M., & Lecron, F. (2017). "Cloud-based Platform for Computer Vision Applications". Paper presented at International Conference on Smart Digital Environment (ICSDE'17), Rabat, Morocco.
Colloques et congrès scientifiques/Communication poster
  • El Adoui, M., & Benjelloun, M. (07 March 2017). "The prediction of breast tumor response to chemotherapy by 3D-MRI images analysis and interpretation". Poster session presented at Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgium.
Allocutions et communications diverses/Article grand public
  • Mahmoudi, S., Debauche, O., El Adoui, M., & Belarbi, M. A. (2017). L'Internet des Objets met la lumière dans tous ses états. "Polytech News (2017)".
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2016
Colloques et congrès scientifiques/Communication orale non publiée/Abstract
  • El Adoui, M., Stylianos, D., & Benjelloun, M. (09 September 2016). "Intra tumor heterogeneity as biomarker of response to treatment : prospective evaluation of parametric response mapping applied in MRI volumetric images of breast cancer". Paper presented at EDT-Cancérologie Expérimentale: Annual Mini symposium 'Why and how to integrate the tumor microenvironment and the immune system in therapeutic strategies targeting cancer cells', Bruxelles, Belgium.
Colloques et congrès scientifiques/Communication poster
  • El Adoui, M., Drisis, S., & Benjelloun, M. (09 September 2016). "Prospective evaluation by Parametric Response Mapping (PRM) applied in MRI volumetric images of breast cancer". Poster session presented at EDT-Cancérologie Expérimentale: Annual Mini symposium 'Why and how to integrate the tumor microenvironment and the immune system in therapeutic strategies targeting cancer cells', Bruxelles, Belgium.
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