Profil

Benjelloun Mohammed

Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Université de Mons - UMONS > Faculté Polytechnique > Informatique, Logiciel et Intelligence artificielle


Main Referenced Co-authors
MAHMOUDI, Saïd  (63)
EL ADOUI, Mohammed  (25)
LECRON, Fabian  (23)
LARHMAM, Mohamed Amine  (14)
Drisis, Stylianos (13)
Main Referenced Keywords
MRI (5); Vertebra segmentation (5); Medical image analysis (4); Template matching (3); breast cancer (2);
Main Referenced Unit & Research Centers
BIOSYS - Biosys (36)
CRTI - Centre de Recherche en Technologie de l'Information (16)
CREMMI - Modélisation mathématique et informatique (1)
Main Referenced Disciplines
Computer science (121)
Mathematics (43)
Electrical & electronics engineering (26)
Radiology, nuclear medicine & imaging (23)
Library & information sciences (14)

Publications (total 133)

The most downloaded
12 downloads
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 https://hdl.handle.net/20.500.12907/29805
The most cited
53 citations (Scopus®)
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 https://hdl.handle.net/20.500.12907/19128

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.
Peer reviewed
* These authors have contributed equally to this work.

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.
Peer reviewed

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
Peer reviewed

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.
Peer reviewed

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.

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.
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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.
Peer reviewed

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.

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 presented at 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 presented at 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.
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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.
Peer Reviewed verified by ORBi

Mahmoudi, S., Belarbi, M. A., Dadi, E. W., Mahmoudi, S., & Benjelloun, M. (2019). Cloud-Based Image Retrieval Using GPU Platforms. Computers.
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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.

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.

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.

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.

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.
Peer Reviewed verified by ORBi

Benjelloun, M., Dadi, E. W., Daoudi, E. M., & Larhmam, M. (2018). Content-based 3D shape retrieval using deep learning approach. Paper presented at 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
Peer reviewed

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.

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.

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
Peer reviewed

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 presented at 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.
Peer Reviewed verified by ORBi

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.

Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (2017). 3D shape retrieval basing on representatives of classes. Paper presented at 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 session presented at 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 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.

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.

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.
Peer reviewed

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 December 2015). Classification of Spine Metastasis in T1-weighted MRI. Poster session presented at 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
Peer Reviewed verified by ORBi

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 March 2015). Computer aided diagnosis of bone metastasis using spine segmentation. Poster session presented at 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.
Peer reviewed

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
Peer Reviewed verified by ORBi

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.
Peer Reviewed verified by ORBi

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.
Peer reviewed

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

Benjelloun, M., Dadi, E. W., & Daoudi, E. M. (2013). Large Scale 3D Shape Retrieval by exploiting mutli-core and GPU. Paper presented at 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.
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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 session presented at 7ième Matinée des Chercheurs, Mons, Belgium.

Dechamps, N., Bagein, M., Benjelloun, M., & Mahmoudi, S. (2012). Boosting Open-Source Database Engines with Graphics Processors. Paper presented at 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.
Peer Reviewed verified by ORBi

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 presented at 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 presented at 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.
Peer reviewed

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.
Peer reviewed

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 presented at 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
Peer Reviewed verified by ORBi

Lecron, F., Benjelloun, M., & Mahmoudi, S. (2012). Fully automatic vertebra detection in x-ray images based on multi-class SVM. Paper presented at 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.
Peer Reviewed verified by ORBi

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 session presented at 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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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.
Peer Reviewed verified by ORBi

Lecron, F., Benjelloun, M., & Mahmoudi, S. (22 March 2011). Reconstruction 3D de la colonne vertébrale à partir de radiographies multi-planaires. Poster session presented at 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 session presented at 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.
Peer Reviewed verified by ORBi

Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2010). GPU-based segmentation of cervical vertebra in X-Ray images. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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.
Peer Reviewed verified by ORBi

Benjelloun, M., Mahmoudi, S., & Lecron, F. (17 March 2009). Etude de la dynamique vertébrale 2D et 3D. Poster session presented at 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.
Peer Reviewed verified by ORBi

Benjelloun, M., & Mahmoudi, S. (2008). Image segmentation and feature extraction for visceral and vertebral dynamic. Paper presented at 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 session presented at 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 presented at 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.
Peer Reviewed verified by ORBi

Mahmoudi, S., & Benjelloun, M. (2007). Corner points detection for vertebral mobility analysis. Paper presented at 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 presented at CIARP 2007, 12th Iberoamerican Congress on Pattern Recognition, .

Benjelloun, M., & Mahmoudi, S. (2007). X-ray images mobility analysis using corners detection. Paper presented at 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 presented at 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.
Peer reviewed

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.
Peer reviewed

Benjelloun, M., & Mahmoudi, S. (2007). Motion analysis in medical x-ray images using anterior faces detection. Paper presented at 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 presented at Advanced Concepts for Intelligent Vision Systems, .

Benjelloun, M., & Mahmoudi, S. (2007). Spine localization and vertebral mobility analysis using faces contours detection. Paper presented at 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 presented at EMEDYSIS07, Fez, Morocco.

Benjelloun, M. (07 March 2007). Analyse et évaluation de la dynamique Viscérale et Vertébrale. Poster session presented at Matinée des chercheurs 2007, Mons, Belgium.

Benjelloun, M. (07 March 2007). Image Comparison. Poster session presented at 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 presented at 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 presented at 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 presented at 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.
Peer reviewed

Benjelloun, M., Mahmoudi, S., & Tellez, H. (2006). Verterbra Edge Detection and Motion Estimation with Polar Signature. IEEE International Conference on Image Processing, 761-764.
Peer reviewed

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 presented at Canadian Conference on Computer and Robot Vision, Victoria, British Columbia, Canada.

Benjelloun, M., & Teran, R. (2004). Visceral Dynamic Computing. Paper presented at IEEE Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, Nevada, United States - Nevada.

Benjelloun, M. (2003). Modèle de gestion économique : CSmod.

Libert, G., & Benjelloun, M. (2003). Modèle d'ordonnancement et de conduite de lignes de fabrication.

Benjelloun, M., & Rico, G. (01 May 2001). Détection de défauts sur des produits plats en défilement rapide. Poster session presented at International Conference on Image and Signal Processing, Agadir, Morocco.

Benjelloun, M., Libert, G., & Rico, G. (2001). Detection, localization and representation of cervical vertebrae. Paper presented at 6th Computer Vision Winter Workshop, Bled, Slovenia.

Benjelloun, M., Libert, G., & Rico, G. (2001). Semi-automatic Corner detection and validation of cervical vertebrae. Paper presented at International Conference on Image and Signal Processing, Agadir, Morocco.

Benjelloun, M. (2000). Etat d'avancement du logiciel DYNART et du logiciel DYNVIS.

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. doi:10.1088/1748-0221/5/03/T03008

Benjelloun, M. (1999). PIKASSO : Programmation des lignes de peinture de Ramet.

Rezgui, A., Manneback, P., & Benjelloun, M. (1999). Une solution multithreadée avec pivots dynamiques pour les systèmes linéaires à bande variable sur architecture SMP. Paper presented at RenPar'11, Rennes, France.

Benjelloun, M. (1998). O.E.P.C. Modèle d'Optimisation Économique des Phases à Chaud : Le Prototype.

Benjelloun, M. (1998). Contrôle de qualité des dents des lames circulaires pour CarboDiam.

Benjelloun, M. (1997). Traitement d'images en ostéopathie.

Storme, A., Meunier, L., Agimont, G., & Benjelloun, M. (1996). Interface Homme-Machine pour le réaffûtage.

Benjelloun, M., Mertens, O., & Desqueper, L. (1996). Object n-error Handling.

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.
Peer reviewed

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.

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.

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.

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