![]() ![]() | Hachache, R., Yahyaouy, A., Riffi, J., Tairi, H., Abibou, S., El adoui, M., & Benjelloun, M. (21 October 2024). Advancing personalized oncology: a systematic review on the integration of artificial intelligence in monitoring neoadjuvant treatment for breast cancer patients. BMC Cancer, 24 (1), 1300. doi:10.1186/s12885-024-13049-0 ![]() |
![]() ![]() | Debauche, O., Nkamla Penka, J. B., Hani, M., Guttadauria, A., Ait Abdelouahid, R., Gasmi, K., Ben Hardouz, O., Lebeau, F., Bindelle, J., Soyeurt, H., Gengler, N., Manneback, P., Benjelloun, M., & Bertozzi, C. (June 2023). Towards a Unified Architecture Powering Scalable Learning Models with IoT Data Streams, Blockchain, and Open Data. Information, 14 (6), 345. doi:10.3390/info14060345 ![]() |
El Adoui, M., Larhmam, M. A., Drisis, S., & Benjelloun, M. (2022). Explainable deep learning approach to predict chemotherapy effect on breast tumor’s MRI. In Ayman S. El-Baz and Jasjit S. Suri, State of the Art in Neural Networks and Their Applications (pp. 147-156). Elsevier. ![]() |
![]() ![]() | Ouardirhi, Z.* , Mahmoudi, S., Zbakh, M., El Ghmary, M., Benjelloun, M., Ait Abdelali, H., & Derrouz, H. (2022). An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. In An Efficient real-time Moroccan automatic license plate recognition system based on the YOLO object detector. Springer. ![]() |
![]() ![]() | EL ADOUI, M., Drisis, S., & Benjelloun, M. (03 August 2022). New Explainable Deep Cnn Design For Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy. Current Medical Imaging Formerly Current Medical Imaging Reviews, 18. doi:10.2174/1573405618666220803124426 ![]() |
![]() ![]() | Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (26 October 2021). A Complete Content-based 3D Shape Retrieval System Using Deep Learning. International Journal of Artificial Intelligence, 19 (2), 44-57. ![]() |
Amkrane, Y., El Adoui, M., & Benjelloun, M. (2020). Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics [Paper presentation]. The 5th IEEE International Conference on Cloud Computing Technologies and Applications, Marrakech, Morocco. |
![]() ![]() | 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. ![]() |
![]() ![]() | Vanabelle, P., De Handschutter, P., El Tahry, R., Benjelloun, M., & Boukhebouze, M. (28 May 2020). Epileptic seizure detection using EEG signals and extreme gradient boosting. Journal of Biomedical Research, 34 (3), 226-237. doi:10.7555/JBR.33.20190016 ![]() |
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. ![]() |
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 presentation]. SAN ANTONIO BREAST CANCER SYMPOSIUM, San Antonio, United States - Texas. |
Vanabelle, P., De Handschutter, P., El Tahry, R., Benjelloun, M., & Boukhebouze, M. (22 November 2019). Towards interpretable automated seizure detection through Fast Gradient Boosting applied on EEG signals [Paper presentation]. Grascomp Doctoral Day (GDD'19), UNamur, Belgium. |
Amkrane, Y., El Adoui, M., & Benjelloun, M. (22 November 2019). Analysing Breast cancer reaction to chemotherapy using Radiomics [Paper presentation]. Grascomp Doctoral Day (GDD'19), UNamur, Belgium. |
![]() ![]() | 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. ![]() |
![]() ![]() | Mahmoudi, S., Belarbi, M. A., Dadi, E. W., Mahmoudi, S., & Benjelloun, M. (2019). Cloud-Based Image Retrieval Using GPU Platforms. Computers. ![]() |
![]() ![]() | 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 ![]() |
![]() ![]() | Benjelloun, M., El Adoui, M., LARHMAM, M. A., & Mahmoudi, S. (2019). Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning [Paper presentation]. 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 presentation]. International Work-Conference on Bioinformatics and Biomedical Engineering, Granada, Spain. |
![]() ![]() | 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 presentation]. 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 presentation]. Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium. |
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 presentation]. SPIE MEDICAL IMAGING Computer-Aided Diagnosis, San Diego, United States - California. |
![]() ![]() | El Adoui, M., & Benjelloun, M. (02 July 2018). A Deep Learning approach to predict breast cancer response to chemotherapy using DCE-MRI images [Paper presentation]. VISion Understanding and Machine intelligence - VISUM 2018, Porto, Portugal. |
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. ![]() |
Benjelloun, M., Dadi, E. W., Daoudi, E. M., & Larhmam, M. (2018). Content-based 3D shape retrieval using deep learning approach [Paper presentation]. International Conference on Learning and Optimization Algorithms: Theory and Application, Rabat, Morocco. |
Larhmam, M., Mahmoudi, S., Drisis, S., & Benjelloun, M. (25 April 2018). A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI. Bioinformatics and Biomedical Engineering, 2 (2018), 198-211. doi:10.1007/978-3-319-78759-6_19 ![]() |
El Adoui, M., & Benjelloun, M. (27 March 2018). The Prediction Of Breast Cancer Response To Chemotherapy By Deep Learning [Poster presentation]. Mardi des chercheurs MDC'18, Wallers Arenberg, France. |
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 presentation]. AI & Deep Learning Conference, GTC 2018, NVIDIA, San Jose, United States - California. |
Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (16 February 2018). GPU-based Acceleration of Methods based on Clock Matching Metric for Large Scale 3D Shape Retrieval. Scalable Computing: Practice and Experience, 19 (1), 31-38. doi:10.12694/scpe.v19i1.1391 ![]() |
![]() ![]() | Mahmoudi, S., & Benjelloun, M. (2017). Chapitre de cours de bases de données (I-INFO-024) : Technologies du Big Data. |
![]() ![]() | Malengreau, E., & Benjelloun, M. (20 October 2017). Utilisation d'un éditeur de texte collaboratif dans le cadre des exercices de Structures de données et algorithmes à l'UMONS [Paper presentation]. Forum pédagodique du Pôle Hainuyer : « Ouverture et diversité, des espaces d'apprentissage dans l'enseignement supérieur: quelles approches pédagogiques pour un apprentissage centré sur l'étudiant ? », Mons, Belgium. |
Malengreau, E., & Benjelloun, M. (2017). Vers la didactisation des disciplines - Utilisation d'un éditeur de texte collaboratif dans le cadre des exercices de Structures de données et algorithmes à l'UMONS : Formation Corsci - Journée d'ouverture. |
![]() ![]() | 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. ![]() |
![]() ![]() | El Adoui, M., Drisis, S., & Benjelloun, M. (2017). Analyzing Breast Tumor Heterogeneity To Predict The Response To Chemotherapy Using 3D MR Images Registration [Paper presentation]. International Conference on Smart Digital Environment (ICSDE'17), Rabat, Morocco. |
Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (2017). 3D shape retrieval basing on representatives of classes [Paper presentation]. 6th. International Symposium ISKO-Maghreb on 'Knowledge Organization in the perspective of Digital Humanities, Al hociema, Morocco. |
![]() ![]() | El Adoui, M., & Benjelloun, M. (07 March 2017). The prediction of breast tumor response to chemotherapy by 3D-MRI images analysis and interpretation [Poster presentation]. Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgium. |
![]() ![]() | 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 presentation]. 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. |
![]() ![]() | 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 presentation]. 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. |
![]() ![]() | Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (01 July 2016). 3D shape retrieval in distributed databases. International Journal of Imaging and Robotics, 16 (3), 114-123. ![]() |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 December 2015). Classification of Spine Metastasis in T1-weighted MRI [Poster presentation]. Grascomp Doctoral Day, Namur, Belgium. |
Mahmoudi, S., Benjelloun, M., Vankerkem, M., Libert, G., Gillis, N., & Tuyttens, D. (2015). Les projets IG : innovation permanente, réalisations diverses, un travail en équipe et des clients réels. Polytech News, (52), 20-21. |
Mahmoudi, S., Lecron, F., & Benjelloun, M. (24 June 2015). Digital mammograms classification for breast cancer detection. International Journal of Computer Assisted Radiology and Surgery, S (2015) 10 (Suppl 1), 125-S126. doi:10.1007/s11548-015-1213-2 ![]() |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 March 2015). Computer aided diagnosis of bone metastasis using spine segmentation [Poster presentation]. 8ème édition de la Matinée des Chercheurs 2015 (MdC2015), Mons, Belgium. |
Larhmam, M., Mahmoudi, S., Benjelloun, M., & Gillis, N. (2015). La vision par ordinateur au service de l'oncologie. Polytech News, (51), 13. |
![]() ![]() | Larhmam, M., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (2014). A Portable Multi-CPU/Multi-GPU based Vertebra Localization in Sagittal MR Images. Lecture Notes in Computer Science, (2014), 209-218. ![]() |
Mahmoudi, S., & Benjelloun, M. (01 July 2014). A classification based medical images retrieval system. International Journal of Computer Assisted Radiology and Surgery, S (2014) 9 (Suppl 1), 77-S80. doi:10.1007/s11548-014-1023-y ![]() |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (25 June 2014). Towards a computer aided diagnosis for spine metastasis detection in MRI. International Journal of Computer Assisted Radiology and Surgery, 9(2014) (Suppl 1), 239. ![]() |
Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (06 January 2014). New approach for efficiently retrieving similar 3D models based on reducing the research space. International Journal of Imaging and Robotics, 13 (2), 104-111. ![]() |
![]() ![]() | Lecron, F., Boisvert, J., Mahmoudi, S., Labelle, H., & Benjelloun, M. (01 November 2013). Three-Dimensional Spine Model Reconstruction Using One-Class SVM Regularization. IEEE Transactions on Biomedical Engineering, 60 (11), 3256-3264. doi:10.1109/TBME.2013.2272657 ![]() |
![]() ![]() | Larhmam, M., Benjelloun, M., & Mahmoudi, S. (24 July 2013). Vertebra identification using template matching model and K-means clustering. International Journal of Computer Assisted Radiology and Surgery, 8 (1), 1-11. doi:10.1007/s11548-013-0927-2 ![]() |
Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (2013). Large Scale 3D Shape Retrieval by exploiting mutli-core and GPU [Paper presentation]. International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas, United States - Nevada. |
Mahmoudi, S., & Benjelloun, M. (27 June 2013). Medical images annotation and retrieval. International Journal of Computer Assisted Radiology and Surgery, 8, 75-S78. ![]() |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (26 June 2013). A model-based approach for cervical spine mobility analysis. International Journal of Computer Assisted Radiology and Surgery, Volume 8 (Supplement 1), 291-S292. doi:10.1007/s11548-013-0880-0 ![]() |
Mahmoudi, S., & Benjelloun, M. (2013). Using Global Shape Descriptors for Content Medical Based Image Retrieval. In Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care. IGI Global. |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (12 March 2013). A Model-Based Approach for Cervical Vertebra Segmentation [Poster presentation]. 7ième Matinée des Chercheurs, Mons, Belgium. |
![]() ![]() | Dechamps, N., Bagein, M., Benjelloun, M., & Mahmoudi, S. (2012). Boosting Open-Source Database Engines with Graphics Processors [Paper presentation]. P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2012 Seventh International Conference on, Victoria, Canada. doi:10.1109/3PGCIC.2012.83 |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (09 November 2012). Cervical spine mobility analysis on radiographs: A fully automatic approach. Computerized Medical Imaging and Graphics, 36 (8), 634-642. ![]() |
![]() ![]() | Benjelloun, M., Mahmoudi, S., & Larhmam, M. (2012). Template Matching Approaches Applied to Vertebra Detection. In Advances in Image Segmentation (pp. 3-23). InTech. |
![]() ![]() | Larhmam, M., Mahmoudi, S., & Benjelloun, M. (2012). Semi-Automatic Detection of Cervical Vertebrae in X-ray Images Using Generalized Hough Transform [Paper presentation]. 3 rd International Conference on Image Processing Theory, Tools and Applications.IPTA'12, Istanbul, Turkey. |
![]() ![]() | Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2012). Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images [Paper presentation]. Biomedical Engineering International Conference, Biomeic, Tlemcen, Algeria. |
Lecron, F., Boisvert, J., Mahmoudi, S., Labelle, H., & Benjelloun, M. (08 October 2012). Fast 3D Spine Reconstruction of Postoperative Patients Using a Multilevel Statistical Model. Lecture Notes in Computer Science, Volume 7511 (05), 446-453. ![]() |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (25 June 2012). Descriptive Image Feature for Object Detection in Medical Images. Lecture Notes in Computer Science, LNCS 7325, 331-338. ![]() |
Lecron, F., & Benjelloun, M. (2012). La 3D : effet de mode ou vrai service à la société ? Polytech.News, (47), 28. |
![]() ![]() | Lecron, F., Boisvert, J., Benjelloun, M., Labelle, H., & Mahmoudi, S. (2012). Multilevel statistical shape models: A new framework for modeling hierarchical structures [Paper presentation]. IEEE International Symposium on Biomedical Imaging, Barcelona, Spain. |
Mahmoudi, S., & Benjelloun, M. (01 May 2012). A New Medical Image Retrieval Approach Based on Curvelet Transform. International Journal of Computer Assisted Radiology and Surgery, 07 (S1), 103-S109. doi:10.1007/s11548-012-0705-6 ![]() |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (2012). Fully automatic vertebra detection in x-ray images based on multi-class SVM [Paper presentation]. SPIE Medical Imaging: Image Processing, San Diego, United States - California. |
Mahmoudi, S., Benjelloun, M., & Abdelali, A. (10 January 2012). Similarity Search by Shapes Silhouettes for 3D Objects Retrieval. Journal of Communications and Computer Engineering, Volume 02 (Issue 01), 41-45. ![]() |
Benjelloun, M., Mahmoudi, S., Lecron, F., & Libert, G. (2011). Mesure de la mobilité cervicale. AIMS Journal. |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (03 November 2011). 3D reconstruction of the spine from multi-planar radiographs [Poster presentation]. Grascomp Day, Graduate School in Computing Science of the Belgium's French Community, ULB, Bruxelles, Belgium. |
![]() ![]() | Lecron, F., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (15 August 2011). Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images. International Journal of Biomedical Imaging, Volume 2011, (10.1155/2011), 1-12. doi:10.1155/2011/640208 ![]() |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (24 June 2011). Vertebra segmentation for the computer-aided cervical mobility evaluation on radiographs. International Journal of Computer Assisted Radiology and Surgery, 06 (S1), 46-S52. doi:10.1007/s11548-011-0573-5 ![]() |
Mahmoudi, S., Benjelloun, M., & Lecron, F. (23 June 2011). Medical image retrieval applied to computer aided diagnosis. International Journal of Computer Assisted Radiology and Surgery, 06 (S1), 67-S73. doi:10.1007/s11548-011-0591-3 ![]() |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (03 June 2011). A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach. International Journal of Biomedical Imaging, 2011. ![]() |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (22 March 2011). Reconstruction 3D de la colonne vertébrale à partir de radiographies multi-planaires [Poster presentation]. 6ème édition de la Matinée des Chercheurs (MDC 2011), Mons, Belgium. |
Benjelloun, M. (07 March 2011). La dynamique Vertébrale de la 2D à la 3D [Poster presentation]. 6ème édition de la Matinée des Chercheurs (MDC 2011), Mons, Belgium. |
Mahmoudi, S., Benjelloun, M., & Filali Ansary, T. (30 January 2011). 3D Objects Retrieval using Curvature Scale Space and Zernike Moments. Journal of Pattern Recognition Research, Volume 06 (Issue 01), 75-95. ![]() |
![]() ![]() | Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2010). GPU-based segmentation of cervical vertebra in X-Ray images [Paper presentation]. IEEE International Conference on Cluster Computing, Crete, Greece. |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (2010). Points of Interest Detection in Cervical Spine Radiographs by Polygonal Approximation [Paper presentation]. IPTA 2010, International conference on image processing theory, tools and applications, Paris, France. |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (2010). L'utilisation de la méthode active shape model pour la segmentation des vertèbres [Paper presentation]. E-medisys 2010, the third international conference E-medisys 2010: E-medical systems, Fez, Morocco. |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (2010). A New Semi-Automatic Approach for X-Ray Cervical Images Segmentation Using Active Shape Model [Paper presentation]. BIOSIGNALS 2010, International Conference on Bio-inspired Systems and Signal Processing, Valence, Spain. |
Benjelloun, M., & Mahmoudi, S. (2010). Semi-automatique vertebra segmentation. In Handbook of research on developments in e-health and telemedecine: technological and social perspectives (pp. 110-124). IGI Global. |
Benjelloun, M. (2009). Projet d'application dynart. Elément 03, 26. |
Mahmoudi, S., Manneback, P., Lecron, F., Benjelloun, M., & Mahmoudi, S. (19 October 2009). Parallel image processing with CUDA and OpenGL [Paper presentation]. 1st scientific workshop, open network for high-performance computing on complex environments, action cost 805, Lisbon, Portugal, Lisbon, Portugal. |
Lecron, F., Mahmoudi, S., & Benjelloun, M. (01 July 2009). Etude de la dynamique vertébrale 2D et 3D [Poster presentation]. Nouveaux outils mathématiques pour l'analyse d'images et la vision par ordinateur, Figeac, France. |
Benjelloun, M., & Mahmoudi, S. (01 June 2009). Spine localization in x-ray images using interest point detection. Journal of Digital Imaging, 22 (3), 309-318. ![]() |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (17 March 2009). Etude de la dynamique vertébrale 2D et 3D [Poster presentation]. Matinée des chercheurs 2009, Mons, Belgium. |
Benjelloun, M., & Mahmoudi, S. (01 April 2008). X-ray image segmentation for vertebral mobility analysis. International Journal of Computer Assisted Radiology and Surgery, 2 (6), 371-383. ![]() |
Benjelloun, M., & Mahmoudi, S. (2008). Image segmentation and feature extraction for visceral and vertebral dynamic [Paper presentation]. LID 2008, International conference on medical imaging, Liège, Belgium. |
Bauwens, J.-F., Mahmoudi, S., & Benjelloun, M. (12 March 2008). Segmentation evaluation to improve automatic vertebral segmentation [Poster presentation]. LID 2008, International conference on medical imaging, Liège, Belgium. |
Bauwens, J.-F., Mahmoudi, S., & Benjelloun, M. (2008). Segmentation evaluation to improve automatic vertebral segmentation [Paper presentation]. LID 2008, International conference on medical imaging, Liège, Belgium. |
Benjelloun, M., Téllez, H., & Prévot, R. (01 December 2007). Edge closing of synthetic and real images using polynomial fitting. Journal of Convergence Information Technology, 2 (4), 8-19. ![]() |
Mahmoudi, S., & Benjelloun, M. (2007). Corner points detection for vertebral mobility analysis [Paper presentation]. IEEE International Conference on Signal Processing and Communication, Dubaï, United Arab Emirates. |
Mahmoudi, S., & Benjelloun, M. (2007). A new approach for cervical vertebrae segmentation [Paper presentation]. CIARP 2007, 12th Iberoamerican Congress on Pattern Recognition, . |
Benjelloun, M., & Mahmoudi, S. (2007). X-ray images mobility analysis using corners detection [Paper presentation]. International Machine Vision and Image Processing Conference, Dublin, Ireland. |
Benjelloun, M., & Mahmoudi, S. (2007). Mobility estimation and analysis in medical x-ray images using corners and faces contours detection [Paper presentation]. International Machine Vision and Image Processing Conference 2007, . |
Mahmoudi, S., & Benjelloun, M. (01 September 2007). A new approach for cervical vertebrae segmentation. Lecture Notes in Computer Science, 4756, 753-762. ![]() |
Benjelloun, M., Mahmoudi, S., Prevot, R., & German, R. (01 September 2007). Vertebral mobility analysis using anterior faces detection. Lecture Notes in Computer Science, 4678, 897-908. ![]() |
Benjelloun, M., & Mahmoudi, S. (2007). Motion analysis in medical x-ray images using anterior faces detection [Paper presentation]. Seventh IASTED International Conference on Visualization, Imaging and Image Processing, . |
Benjelloun, M., Mahmoudi, S., Prévot, R., & Rico, G. (2007). Vertebral Mobility Analysis Using Anterior Faces Detection: Lecture Notes in Computer Science,4678,897-908 [Paper presentation]. Advanced Concepts for Intelligent Vision Systems, . |
Benjelloun, M., & Mahmoudi, S. (2007). Spine localization and vertebral mobility analysis using faces contours detection [Paper presentation]. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France. |
Bauwens, J.-F., Mahmoudi, S., & Benjelloun, M. (24 July 2007). A survey on evaluation techniques of vertebraesegmentation results [Paper presentation]. EMEDYSIS07, Fez, Morocco. |
Benjelloun, M. (07 March 2007). Analyse et évaluation de la dynamique Viscérale et Vertébrale [Poster presentation]. Matinée des chercheurs 2007, Mons, Belgium. |
Benjelloun, M. (07 March 2007). Image Comparison [Poster presentation]. Matinée des chercheurs (MDC'2007), Mons, Belgium. |
Benjelloun, M., Tellez, H., & Mahmoudi, S. (2006). A New Method for Vertebrae Contours Detection in X-ray Images [Paper presentation]. Irish Machine Vision and Image Processing Conference, Dublin, Ireland. |
Benjelloun, M., Tellez, H., & Mahmoudi, S. (2006). A New Template Matching Method for Vertebrae Contours Detection in X-ray Images [Paper presentation]. 6th IASTED International Conference on Visualization, Imaging, And Image Processing, Palma de Mallorca, Spain. |
Benjelloun, M., Tellez, H., & Mahmoudi, S. (2006). Template Matching Method for Vertebra Region Selection [Paper presentation]. 2nd IEEE International Conference on Information and Communication technologies: from theory to applications, Damasus, Syria. |
Benjelloun, M., Mahmoudi, S., & Tellez, H. (01 January 2006). Vertebra Edge Detection Using Polar Signature. International Conference on Pattern Recognition, Volume 1, 2006, 476-479. ![]() |
Benjelloun, M., Mahmoudi, S., & Tellez, H. (2006). Verterbra Edge Detection and Motion Estimation with Polar Signature. IEEE International Conference on Image Processing, 761-764. ![]() |
Benjelloun, M. (2005). LI3 : Logiciel de planification et d'affectation. |
Benjelloun, M., & Bauwens, J.-F. (2005). Poster sur la Dynamique Viscérale et Vertébrale. |
Benjelloun, M. (2005). Segmentation and feature extraction to evaluate the stomach dynamic [Paper presentation]. Canadian Conference on Computer and Robot Vision, Victoria, British Columbia, Canada. |
Benjelloun, M., & Teran, R. (2004). Visceral Dynamic Computing [Paper presentation]. IEEE Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, Nevada, United States - Nevada. |
Benjelloun, M. (2003). Modèle de gestion économique : CSmod. https://orbi.umons.ac.be/handle/20.500.12907/25050 |
Libert, G., & Benjelloun, M. (2003). Modèle d'ordonnancement et de conduite de lignes de fabrication. https://orbi.umons.ac.be/handle/20.500.12907/6694 |
Benjelloun, M., & Rico, G. (01 May 2001). Détection de défauts sur des produits plats en défilement rapide [Poster presentation]. International Conference on Image and Signal Processing, Agadir, Morocco. |
Benjelloun, M., Libert, G., & Rico, G. (2001). Detection, localization and representation of cervical vertebrae [Paper presentation]. 6th Computer Vision Winter Workshop, Bled, Slovenia. |
Benjelloun, M., Libert, G., & Rico, G. (2001). Semi-automatic Corner detection and validation of cervical vertebrae [Paper presentation]. International Conference on Image and Signal Processing, Agadir, Morocco. |
Benjelloun, M. (2000). Etat d'avancement du logiciel DYNART et du logiciel DYNVIS. https://orbi.umons.ac.be/handle/20.500.12907/42158 |
Benjelloun, M. (2000). L'utilisation du parallélisme en traitement d'images. |
Benjelloun, M. (2000). 'O.E.P.C. 2000 : Modèle d'Optimisation Économique des Phases à Chaud. https://orbi.umons.ac.be/handle/20.500.12907/11391 |
Benjelloun, M. (1999). PIKASSO : Programmation des lignes de peinture de Ramet. https://orbi.umons.ac.be/handle/20.500.12907/38302 |
Rezgui, A., Manneback, P., & Benjelloun, M. (1999). Une solution multithreadée avec pivots dynamiques pour les systèmes linéaires à bande variable sur architecture SMP [Paper presentation]. RenPar'11, Rennes, France. |
Benjelloun, M. (1998). O.E.P.C. Modèle d'Optimisation Économique des Phases à Chaud : Le Prototype. https://orbi.umons.ac.be/handle/20.500.12907/33012 |
Benjelloun, M. (1998). Contrôle de qualité des dents des lames circulaires pour CarboDiam. https://orbi.umons.ac.be/handle/20.500.12907/17491 |
Benjelloun, M. (1997). Traitement d'images en ostéopathie. https://orbi.umons.ac.be/handle/20.500.12907/26115 |
Storme, A., Meunier, L., Agimont, G., & Benjelloun, M. (1996). Interface Homme-Machine pour le réaffûtage. https://orbi.umons.ac.be/handle/20.500.12907/11673 |
Benjelloun, M., Mertens, O., & Desqueper, L. (1996). Object n-error Handling. https://orbi.umons.ac.be/handle/20.500.12907/37455 |
Benjelloun, M., Finet, E., & Libert, G. (1996). Le traitement parallèle pour l'inspection temps réel. |
Benjelloun, M., Finet, E., & Libert, G. (1996). L'inspection en temps réel à grande vitesse. Real-Time & Embedded Systems. ![]() |
Benjelloun, M. (1995). L'inspection en temps réel à grande vitesse. |
Benjelloun, M. (1994). Nouvel équipement de détection de défauts sur une surface défilant à grande vitesse. https://orbi.umons.ac.be/handle/20.500.12907/3474 |
Benjelloun, M., Delaunois, J.-M., & Libert, G. (1993). Le calcul parallèle pour la détection de défauts sur des produits plats en défilement rapide. |
Benjelloun, M., Libert, G., & Trecat, J. (1992). Réalisation d'une recherche relative au traitement d'images par supercalculateur. https://orbi.umons.ac.be/handle/20.500.12907/24054 |
Teghem, J., & Benjelloun, M. (1992). Some experiments to compare rough sets theory and ordinal statistical methods. In Intelligent Decision Support: Handbook of Applications and Advances of Rough Set Theory,R.Slowinski. Ed. Dordrecht, The Netherlands: Kluwer, 1992, vol. 11, System Theory, Knowledge Engineering and Problem Solving. |