Profil

Mahmoudi Saïd

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

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


Main Research Fields
Computer science
Electrical & electronics engineering
Agriculture & agronomy
Radiology, nuclear medicine & imaging
Mathematics
Main Keywords
Internet of Things; Vertebra segmentation; GPU; IoT; Medical image analysis;
Main Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information
BIOSYS - Biosys
Main Co-authors
Benjelloun, Mohammed 
Manneback, Pierre 
Chikh, Mohammed Amine
Mahmoudi, Sidi 

Publications (total 238)

The most downloaded
129 downloads
Debauche, O., Mahmoudi, S., Manneback, P., & Lebeau, F. (2021). Cloud and Distributed Architectures for Data Management in Agriculture 4.0 : Review and Future Trends. Journal of King Saud University - Computer and Information Sciences. doi:10.1016/j.jksuci.2021.09.015 https://hdl.handle.net/20.500.12907/42428
The most cited
201 citations (OCI)
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (08 December 2018). Topological methods for mammographic images classification: The Digital Mammography DREAM Challenge 2017. Poster session presented at RSGDREAM 2018 conference, NYU Langone Health, in New York City, New York, United States - New York. doi:10.1007/JHEP02(2010)041 https://hdl.handle.net/20.500.12907/42195

Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (In press). Multimedia Processing using Deep Learning Technologies, HPC, Cloud Resources and Big Data Volumes. Concurrency and Computation: Practice and Experience.
Peer Reviewed verified by ORBi

Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (In press). Explainable Deep Learning for Covid-19 detection using chest X-ray and CT images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer.

Seddati, O., Dupont, S., Mahmoudi, S., & Dutoit, T. (2022). Towards Human Performance on Sketch-Based Image Retrieval. In Proceedings of 19th International Conference on Content-based Multimedia Indexing, CBMI 2022. Association for Computing Machinery. doi:10.1145/3549555.3549582
Peer reviewed

Debauche, O.* , Nkamla Penka, J. B.* , Mahmoudi, S., Lessave, X., HANI, M., Manneback, P., Kanku Lufuluabu, U., Bert, N., Messaoudi, D., & Guttadauria, A. (07 September 2022). RAMi : a new Real-time internet of medical things Architecture for elderly patients Monitoring. Information, 13 (9), 423. doi:10.3390/info13090423
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (06 September 2022). Apprentissage profond distribué : d’un seul nœud vers plusieurs nœuds de calcul. Poster session presented at Mardi des chercheurs, Mons, Belgium.

Plum, J., Dufrasne, I., Quoitin, B., Mahmoudi, S., & Frédéric, L. (2022). Development and evaluation of an autonomous and automatic monitoring system for grazing cattle. In Precision livestock farming '22. Vienne, Austria: D. Berckmans, M.Oczak, M. Iwersen, K. Wagener.
Peer reviewed

Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2022). Distributed Deep Learning: From Single-Node to Multi-Node Architecture. Electronics. doi:10.3390/electronics11101525
Peer Reviewed verified by ORBi

Tadrist, N., Mahmoudi, S., Debauche, O., & Guttadauria, A. (2022). Towards Low-Cost IoT and LPWAN-Based Flood Forecast and Monitoring System. International Journal of Ubiquitous Systems and Pervasive Networks. doi:10.5383/JUSPN.17.01.006
Peer Reviewed verified by ORBi

Nkamla Penka, J. B., Mahmoudi, S., & Debauche, O. (2022). An Optimized Kappa Architecture for IoT Data Management in Smart Farming. International Journal of Ubiquitous Systems and Pervasive Networks. doi:10.5383/JUSPN.17.02.002
Peer Reviewed verified by ORBi

Debauche, O., Mahmoudi, S., & Guttadauria, A. (2022). A new edge computing architecture for IoT and multimedia data management. Information. doi:10.3390/info13020089

Berrani, S., Yachir, A., Mahmoudi, S., Badis, D., & Aissani, M. (01 January 2022). Towards a New Semantic Model for Service-Based IoT Applications. Journal of Information Science and Engineering, 38 (1), 83-100.
Peer reviewed

Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2021). Single Node Deep Learning Frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience.
Peer Reviewed verified by ORBi

Ammar, M., Lamri, M. A., Mahmoudi, S., & Laidi, A. (13 November 2021). Deep Learning Models for Intracranial Hemorrhage Recognition: A comparative study. Procedia Computer Science, 196, 418-425. doi:10.1016/j.procs.2021.12.031
Peer reviewed

Debauche, O., Mahmoudi, S., Manneback, P., & Lebeau, F. (2021). Cloud and Distributed Architectures for Data Management in Agriculture 4.0 : Review and Future Trends. Journal of King Saud University - Computer and Information Sciences. doi:10.1016/j.jksuci.2021.09.015
Peer Reviewed verified by ORBi

Belgacem, A., Beghdad-Bey, K., & Mahmoudi, S. (2021). New virtual machine placement approach based on the micro genetic algorithm in cloud computing. Paper presented at International Conference on Future Internet of Things and Cloud, Rome, Italy.

Nkamla Penka, J. B., Mahmoudi, S., & Debauche, O. (2021). A new Kappa Architecture for IoT Data Management in Smart Farming. Procedia Computer Science, (191), 17-24.
Peer reviewed

Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (27 July 2021). Deep Learning Frameworks: Performances Analysis. Paper presented at DeepLearn, Las Palmas de Gran Canaria, Spain.

Debauche, O., El Moulat, M., Mahmoudi, S., Bindelle, J., & Lebeau, F. (30 June 2021). Farm Animals' Behaviors and Welfare Analysis with AI Algorithms: A Review. Revue d'Intelligence Artificielle, 35 (3). doi:10.18280/ria.350308
Peer Reviewed verified by ORBi

Mahmoudi, S., Lessage, X., Giudice, F., Murgo, S., & Mahmoudi, S. (24 June 2021). Breast cancer detection in digital mammography with convolutional neural network: retrospective study in Belgium. International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), 69-70.
Peer Reviewed verified by ORBi

Garg, L., Chakraborty, C., Mahmoudi, S., & Sohmen, V. S. (2021). Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer.

Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (2021). Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 323-338). Springer.

Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (21 June 2021). Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI). International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), 64-65.
Peer Reviewed verified by ORBi

Debauche, O., Trani, J.-P., Mahmoudi, S., Manneback, P., Bindelle, J., Mahmoudi, S., Guttadauria, A., & Lebeau, F. (09 June 2021). Data Management and Internet of Things : A Methodological Review in Smart Farming. Internet of Things, 14.
Peer reviewed

Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (30 March 2021). Comparaison des frameworks d'apprentissage profond sur un seul noeud de calcul. Poster session presented at Mardi des Chercheurs, Virtual Meeting, Unknown/unspecified.

Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (2021). Chest X-ray images analysis with Deep Convolutional Neural Networks (CNN) for COVID-19 detection. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 405-425). Springer. doi:10.1007/978-3-030-72752-9_21

Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (2021). A new Collaborative Platform for Covid-19, Benchmark Datasets. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. doi:10.1007/978-3-030-72752-9_12

El Moulat, M., Debauche, O., Mahmoudi, S., Mahmoudi, S., Guttadauria, A., Manneback, P., & Lebeau, F. (10 March 2021). Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence. Journal of Ubiquitous Systems & Pervasive Networks, 15 (5), 11-17.
Peer reviewed

Laabassi, K., Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Ferhat, K. (01 March 2021). Wheat varieties identification based on a deep learning approach. Journal of the Saudi Society of Agricultural Sciences, 20 (5), 281-289.
Peer Reviewed verified by ORBi

Maatoug, A., Belalem, G., & Mahmoudi, S. (2021). A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects. Frontiers of Computer Science.
Peer reviewed

Nasser, S., Naoui, M., Belalem, G., & Mahmoudi, S. (11 January 2021). Semantic Segmentation of Hippocampal Subregions with U-Net Architecture. International Journal of E-Health and Medical Communications, 12 (Issue: 6 - Article: 4).
Peer reviewed

Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (21 December 2020). Multimedia processing using deep learning technologies, highperformance computing cloud resources, and Big Data volumes. Concurrency and Computation: Practice and Experience, 32 (17).
Peer Reviewed verified by ORBi

Nolack Fote, F., Roukh, A., Mahmoudi, S., Mahmoudi, S., & Debauche, O. (2020). Toward a Big Data Knowledge-Base Management System for Precision Livestock Farming. Procedia Computer Science.
Peer reviewed

Nolack Fote, F., Mahmoudi, S., Mahmoudi, S., & Roukh, A. (2020). Big Data Storage and Analysis for Smart Farming. Paper presented at 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco.

Debauche, O., Mahmoudi, S., De Cock, N., Mahmoudi, S., Manneback, P., & Lebeau, F. (15 November 2020). Cloud Architecture For Plant Phenotyping Research. Concurrency and Computation: Practice and Experience, 32 (17). doi:10.1002/cpe.5661
Peer Reviewed verified by ORBi

El Moulat, M., Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 November 2020). Edge Computing and Artificial Intelligence for Landslides Monitoring. Procedia Computer Science, 177, 480-487. doi:10.1016/j.procs.2020.10.066
Peer reviewed

Roukh, A., Nolack Fote, F., Mahmoudi, S., & Mahmoudi, S. (2020). Big Data Processing Architecture for Smart Farming. Procedia Computer Science.
Peer reviewed

Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (02 November 2020). A new Collaborative Platform for Research in Smart Farming. Procedia Computer Science, 177, 450-455. doi:10.1016/j.procs.2020.10.061
Peer reviewed

Ait Abelouahid, R., Debauche, O., Mahmoudi, S., Marzak, A., Manneback, P., & Lebeau, F. (2020). Smart Nest Box: IoT based Nest monitoring in artificial cavities. Paper presented at The 3rd International Conference on Advanced Communication Technologies and Networking (CommNet 2020), Marrakech, Morocco. doi:10.1109/CommNet49926.2020.9199624

Debauche, O., Ait Abelouahid, R., Mahmoudi, S., Moussaoui, Y., Marzak, A., & Manneback, P. (2020). RevoCampus: a distributed open source and low-cost smart campus. Paper presented at The 3rd International Conference on Advanced Communication Technologies and Networking (CommNet 2020), Marrakech, Morocco. doi:10.1109/CommNet49926.2020.9199640

Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 August 2020). Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure. Procedia Computer Science, 175, 542-547. doi:10.1016/j.procs.2020.07.077
Peer reviewed

Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 August 2020). Edge AI-IoT (AIoT) Architecture. Procedia Computer Science, 175, 10-19. doi:10.1016/j.procs.2020.07.006
Peer reviewed

Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., Bindelle, J., & Lebeau, F. (12 August 2020). Edge Computing and Artificial Intelligence for Real-time Poultry Monitoring. Procedia Computer Science, 175, 534-541. doi:10.1016/j.procs.2020.07.076
Peer reviewed

Roukh, A., Nolack Fote, F., Mahmoudi, S., & Mahmoudi, S. (2020). WALLeSMART: Cloud Platform for Smart Farming. Paper presented at International Conference on Statistical and Scientific Database Management, 2020, Austria.

Debauche, O., Mahmoudi, S., Mahmoudi, S., El Moulat, M., Manneback, P., & Lebeau, F. (02 July 2020). Edge AI-IoT Pivot Irrigation, Plant Diseases and Pests Identification. Procedia Computer Science, 177. doi:10.1016/j.procs.2020.10.009
Peer reviewed

Lessage, X., Nedoszytko, M., Piussi, C., Mahmoudi, S., & Mahmoudi, S. (2020). Deep Convolutional Neural Networks (CNN) for classification of coronary arteries. International Journal of Computer Assisted Radiology and Surgery.
Peer Reviewed verified by ORBi

Giudice, F., WEBER, T., Lessage, X., Mahmoudi, S., Mahmoudi, S., & Siebert, X. (2020). Deep Convolutional Neural Networks (CNN) for mammographic abnormalities detection and segmentation. International Journal of Computer Assisted Radiology and Surgery.
Peer Reviewed verified by ORBi

Ait Abelouahid, R., Debauche, O., Mahmoudi, S., Marzak, A., Manneback, P., & Lebeau, F. (2020). Open Phytotron: A New Device for Home Controlled-Environment Agriculture. Paper presented at 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco.

Debauche, O., Mahmoudi, S., & Moussaoui, Y. (2020). Internet of Things learning: a practical case for smart building automation. Paper presented at 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco.

Nasser, S., Naoui, M., Belalem, G., & Mahmoudi, S. (01 May 2020). Automated Segmentation of Brain Medical Images. International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 13 (No. 1), 17-28. doi:10.33832/ijsip.2020.13.1.02
Peer reviewed

Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., Bindelle, J., & Lebeau, F. (2020). Edge Computing for Cattle Behavior Analysis. Paper presented at Second international conference on Embedded & Distributed Systems, EDiS'2020, Oran, Algeria. doi:10.1109/EDiS49545.2020.9296471

Debauche, O., Mahmoudi, S., Manneback, P., & Assila, A. (21 November 2019). Fog IoT for Health: A new Architecture for Patients and Elderly Monitoring. Procedia Computer Science, 160, 289-297. doi:10.1016/j.procs.2019.11.087
Peer reviewed

Chenine, A., M'hamed Amine, H., MERATI, M., Mahmoudi, S., & BENSABER, D. A. (2019). Colour Spaces Impact On Convolutional Neural Networks Performance. Paper presented at 1st International Conference on Networking Telecommunications, Biomedical Engineering and Applications (ICNTBA'19), Boumerdes, Algeria.

Daho, M. E. H., Ammar, M., & Mahmoudi, S. (2019). Prostate segmentation in magnetic resonance images using Multi-resolution Active Appearance Models. Paper presented at 1st International Conference on Networking Telecommunications, Biomedical Engineering and Applications (ICNTBA'19), Boumerdes, Algeria.

MERATI, M., Mahmoudi, S., Chenine, A., & Chikh, M. A. (2019). Classifying lesions in mammograms using artificial neural network. Paper presented at 1st International Conference on Networking Telecommunications, Biomedical Engineering and Applications (ICNTBA'19), Boumerdes, Algeria.

Debauche, O., Mahmoudi, S., Andriamandroso, A. L. H., Manneback, P., Bindelle, J., & Lebeau, F. (31 October 2019). Cloud Services Integration For Farm Animals' Behavior Studies Based On Smartphones As Activity Sensors. Journal of Ambient Intelligence and Humanized Computing, 10 (12), 4651-4662. doi:10.1007/s12652-018-0845-9
Peer Reviewed verified by ORBi

Brahimi, M., Mahmoudi, S., Boukhalfa, K., & Moussaoui, A. (2019). Deep interpretable architecture for plant diseases classification. Paper presented at 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), POZNAN, Unknown/unspecified.

Plum, J., De Cock, N., Dubois, J.-P., Dufrasne, I., Soyeurt, H., Quoitin, B., Mahmoudi, S., & Bindelle, J. (2019). Evaluation of Intel Realsense Depth cameras for open source remote monitoring of heifers on pastures. Paper presented at European conference dedicated to the future use of ICT in the agri-food sector, bioresource and biomass sector (EFITA 2019)), Rhodes, Greece.

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (24 June 2019). Classification of breast cancer histology images using consensus oriented by three Deep Convolutional Neural Networks. International Journal of Computer Assisted Radiology and Surgery, 14 (1), 81-82. doi:10.1007/s11548-019-01969-3
Peer Reviewed verified by ORBi

MERATI, M., Mahmoudi, S., Chenine, A., & Chikh, M. A. (17 June 2019). A new triplet convolutional neural network for classification of lesions on mammograms. Revue d'Intelligence Artificielle, 33 (3), 213-217. doi:10.18280/ria.330307
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

Debauche, O., & Mahmoudi, S. (2019). LA DÉPERDITION DES ABEILLES, LE SOS D'UN ENVIRONNEMENT EN DÉTRESSE. Polytech News.

Debauche, O., & Mahmoudi, S. (2019). VACHES, PÂTURAGE ET ENVIRONNEMENT. Polytech News.

Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (20 May 2019). Dimensionality Reduction in Large Scale Image Databases. Poster session presented at Infortech Day, Mons, Belgium.

Nolack Fote, F., Roukh, A., Mahmoudi, S., & Mahmoudi, S. (20 May 2019). IoT Data Analysis for Smart Farming : The Wallesmart Project. Poster session presented at Infortech Day, Mons, Belgium.

Debauche, O., Mahmoudi, S., & Mahmoudi, S. (2019). Internet of Things: learning and practices. Application to Smart City. Paper presented at The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. doi:10.1109/CloudTech.2018.8713337

Lazouni, M. A., Feroui, A., & Mahmoudi, S. (29 March 2019). A new intelligent system for glaucoma disease detection. International Journal of Computer Aided Engineering and Technology, 11 (4/5), 613 - 633. doi:10.1504/IJCAET.2019.100457
Peer Reviewed verified by ORBi

Benmouna, Y., Mezmaz, M., Mahmoudi, S., & Chikh, M. A. (2019). Parallel cycle-based branch-and-bound method for Bayesian network learning. Pattern Analysis and Applications. doi:10.1007/s10044-019-00815-1
Peer Reviewed verified by ORBi

Nolack Fote, F., Roukh, A., Mahmoudi, S., & Mahmoudi, S. (15 March 2019). WALLESMART : Enter wallon rearing into the 4.0 digital revolution. Poster session presented at Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium.

Maatoug, A., Belalem, G., & Mahmoudi, S. (01 March 2019). Fog computing framework for location-based energy management in smart buildings. Multiagent and Grid Systems, 15 (1), 39-56. doi:10.3233/MGS-190301
Peer Reviewed verified by ORBi

Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (2019). A New Parallel and Distributed Approach for Large Scale Images Retrieval. Lecture Notes in Network and Systems. Intelligent Technologies and Robotics.
Peer reviewed

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2019). A topological approach for mammographic density classification using a modified synthetic minority over-sampling technique algorithm. International Journal of Biomedical Engineering and Technology.
Peer reviewed

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (08 December 2018). Topological methods for mammographic images classification: The Digital Mammography DREAM Challenge 2017. Poster session presented at RSGDREAM 2018 conference, NYU Langone Health, in New York City, New York, United States - New York. doi:10.1007/JHEP02(2010)041

Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (05 November 2018). Cloud Platform using Big Data and HPC Technologies for Distributed and Parallels Treatments. Procedia Computer Science, 141, 112-118. doi:10.1016/j.procs.2018.10.156
Peer reviewed

Benmouna, Y., Benazzouz, M., Chikh, M. A., & Mahmoudi, S. (2018). New Method for Bayesian Network Learning. International Journal of Pattern Recognition and Artificial Intelligence.
Peer Reviewed verified by ORBi

Lessage, X., Larhmam, M., Mahmoudi, S., & Nedjar, I. (2018). Assessing Breast Cancer Screening using recent Deep Convolutional Neural Networks. International Journal of Computer Assisted Radiology and Surgery.
Peer Reviewed verified by ORBi

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

Mahmoudi, S., Belarbi, M. A., Ammar, M., Abbou, A., & Mahmoudi, S. (2018). GPU-Low-Energy Tracking of the Left Ventricle in the Cloud. Lecture Notes in Computer Science.
Peer reviewed

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

Debauche, O., El Moulat, M., Mahmoudi, S., Boukraa, S., Manneback, P., & Lebeau, F. (24 April 2018). Web Monitoring of Bee Health for Researchers and Beekeepers Based on the Internet of Things. Procedia Computer Science, 130, 991-998. doi:10.1016/j.procs.2018.04.103
Peer reviewed

Debauche, O., El Moulat, M., Mahmoudi, S., Manneback, P., & Lebeau, F. (2018). Irrigation pivot-center connected at low cost for the reduction of crop water requirements. Paper presented at International Conference on Advanced Communication Technologies and Networking (CommNet'18), Marrakech, Morocco. doi:10.1109/COMMNET.2018.8360259

Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (2018). CBIR in cloud with large scale images. In 3rd NESUS Winter School and PhD Symposium on Data Science and Heterogeneous Computing. COST IC 1305.

Ammar, M., Mahmoudi, S., & Drisis, S. (2018). A Set of Texture-Based Methods for Breast Cancer Response Prediction in Neoadjuvant Chemotherapy Treatment. In Soft Computing Based Medical Image Analysis. 𝗘𝗹𝘀𝗲𝘃𝗶𝗲𝗿 𝗦&𝗧 𝗕𝗼𝗼𝗸𝘀.

Mahmoudi, S., & Mahmoudi, S. (2017). Chapitre de cours de Multimedia Rertrieval and Indexation (I-INFO-014) : Cloud and GPU for Multimedia Retrieval: Chapitre 7 : Cloud & GPU for Multimedia Retrieval.

Debauche, O., Mahmoudi, S., Manneback, P., Tadrist, N., Bindelle, J., & Lebeau, F. (2017). Improvement of battery life of iPhones Inertial Measurement Unit by using edge computing: Application to cattle behavior. Paper presented at International Symposium on Computer Sciences and Applications, Errachidia, Morocco.

Belarbi, M. A., Mahmoudi, S., Belalem, G., & Mahmoudi, S. (2017). Web-based Multimedia Research and Indexation for Big Data Databases. Paper presented at CloudTech 2017 : The 3rd International Conference on Cloud Computing Technologies and Applications, Rabat, Morocco.

Debauche, O., Mahmoudi, S., Manneback, P., Massinon, M., Tadrist, N., Lebeau, F., & Mahmoudi, S. (2017). Cloud architecture for digital phenotyping and automation. Paper presented at CloudTech 2017 : The 3rd International Conference on Cloud Computing Technologies and Applications, Rabat, Morocco. doi:10.1109/CloudTech.2017.8284718

Seddati, O., Dupont, S., Mahmoudi, S., & Amiri Parian, M. (2017). Towards Good Practices for Image Retrieval Based on CNN Features. Paper presented at IEEE International Conference on Computer Vision, Venice, Italy.

Ammar, M., Baiche, K., Mahmoudi, S., & Benazzouz, M. (2017). Shape irregularity based area measurement: Application on cell nucleus recognition. Paper presented at 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), Boumerdes, Algeria.

Belarbi, M. A., Mahmoudi, S., & Belalem, G. (01 October 2017). PCA as Dimensionality Reduction for Large-Scale Image Retrieval Systems. International Journal of Ambient Computing and Intelligence, 8 (4), 45-58. doi:10.4018/IJACI.2017100104
Peer Reviewed verified by ORBi

Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2017). Towards a Smart Selection of Resources in the Cloud for Low-energy Multimedia Processing. Concurrency and Computation: Practice and Experience.
Peer Reviewed verified by ORBi

Seddati, O., Ben-Lhachemi, N., Dupont, S., & Mahmoudi, S. (2017). UMONS @ MediaEval 2017: Diverse Social Images Retrieval. Paper presented at MediaEval Benchmarking Initiative for Multimedia Evaluation, Dublin, Ireland.

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).

Mahmoudi, S., Meziane, A., & Chikh, M. A. (2017). Brain Structures Segmentation by using Statistical Models. Medical Technologies Journal.
Peer reviewed

Seddati, O., Dupont, S., & Mahmoudi, S. (2017). Triplet Networks Feature Masking for Sketch-Based Image Retrieval. Lecture Notes in Computer Science.
Peer reviewed

Debauche, O., Mahmoudi, S., Andriamandroso, A. L. H., Manneback, P., Bindelle, J., & Lebeau, F. (27 June 2017). Web-based cattle behavior service for researchers based on the smartphone inertial central. Procedia Computer Science, 110, 110-116. doi:10.1016/j.procs.2017.06.127
Peer reviewed

Mahmoudi, S., Lecron, F., Wilmet, V., & Mahmoudi, S. (2017). Fusion based computer-aided biopsy for early diagnosis of liver cancer. International Journal of Computer Assisted Radiology and Surgery.
Peer Reviewed verified by ORBi

Seddati, O., Dupont, S., & Mahmoudi, S. (2017). Quadruplet Networks for Sketch-Based Image Retrieval. ACM on International Conference on Multimedia Retrieval.
Peer reviewed

Seddati, O., Dupont, S., & Mahmoudi, S. (2017). DeepSketch 3: Analyzing deep neural networks features for better sketch recognition and sketch-based image retrieval. Multimedia Tools and Applications, 1-27. doi:10.1007/s11042-017-4799-2, 2017
Peer Reviewed verified by ORBi

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2017). Content-based medical image retrieval for Liver CT Annotation. Paper presented at INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING, MACHINE LEARNING AND INTELLIGENT SYSTEMS, Tetuan, Morocco.

Seddati, O., Delbrouck, J.-B., Dupont, S., & Mahmoudi, S. (25 April 2017). Deep Features for Big Data. Poster session presented at Journée scientifique du Pôle hainuyer 'Les données au coeur de notre devenir: les enjeux des big data, Tournai, e-campus, Belgium.

Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (07 March 2017). Dimensionality Reduction in Large Scale Image Databases. Poster session presented at Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgique, 2017, Mons, Belgium.

Debauche, O., Mahmoudi, S., Manneback, P., & Lebeau, F. (07 March 2017). Web-based animal behavior study service for researchers based on the smartphone inertial central. Poster session presented at Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgium.

Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (01 February 2017). Dimensionality Reduction in Large Scale Image. Paper presented at Second NESUS Winter School & PhD Symposium 2017, .

Ammar, M., & Mahmoudi, S. (08 December 2016). New Circularity Index Using Radon Transform. International Journal of Applied Pattern Recognition, 03 (04), 368-380.
Peer reviewed

Daoudi, A., & Mahmoudi, S. (2016). A fully automatic cardiac segmentation method using region growing technique. MedPRAI-2016 Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, ACM New York, NY, USA - 2016.
Peer reviewed

Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). Efficiency of GPUs for Relational Database Engine Processing. Lecture Notes in Computer Science.
Peer reviewed

Seddati, O., Dupont, S., & Mahmoudi, S. (2016). DeepSketch2Image: Deep Convolutional Neural Networks for Partial Sketch Recognition and Image Retrieval. ACM on Multimedia Conference, Amsterdam, The Netherlands, 2016, 739-741.
Peer reviewed

Belarbi, M. A., Mahmoudi, S., & Belalem, G. (07 October 2016). Indexing videos by key frames. Paper presented at Dutch-Belgian DataBase Day, Mons, Belgium.

Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). Boosting an embedded relational database management system with graphics processing units. 5th International Conference on Data Management Technologies and Applications, Lisbon, Portugal, 2016.
Peer reviewed

Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2016). Indexing videos by key frames. Paper presented at The Dutch-Belgian DataBase Day, Mons, Belgium.

Ammar, M., Mahmoudi, S., & Stylianos, D. (16 September 2016). Breast Cancer Response Prediction in Neoadjuvant Chemotherapy Treatment Based on Texture Analysis. Procedia Computer Science, 100, 812-817. doi:10.1016/j.procs.2016.09.229
Peer reviewed

Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). Amélioration des performances d'un moteur de base de données relationnelle embarqué par l'utilisation de GPU. Paper presented at Conférence COMPAS 2016, Université de Bretagne Sud, Lorient, France.

Seddati, O., Dupont, S., & Mahmoudi, S. (2016). DeepSketch 2: Deep Convolutional Neural Networks for Partial Sketch Recognition. International Workshop on Content-based Multimedia Indexing, CBMI 2016, Bucharest, Romania, June 15-17, 2016.
Peer reviewed

Sobrie, O., Lazouni, M. A., Mahmoudi, S., Mousseau, V., & Pirlot, M. (2016). A new decision support model for preanesthetic evaluation. Computer Methods and Programs in Biomedicine, (133), 183-193. doi:10.1016/j.cmpb.2016.05.021
Peer Reviewed verified by ORBi

Seddati, O., Dupont, S., & Mahmoudi, S. (2016). Réseaux de Neurones Convolutionnels Profonds pour la Reconnaissance d'Action dans les Vidéos. Paper presented at CORESA 2016 - COmpression et REprésentation des Signaux Audiovisuels, Nancy, France.

Naoui, M., Mahmoudi, S., & Belalem, G. (2016). Feasibility Study of a Distributed and Parallel Environment for Implementing the Standard Version of AAM Model. Journal of Information Processing Systems.
Peer reviewed

Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). CuDB: a Relational Database Engine Boosted by Graphics Processing Units. Paper presented at Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems, Timisoara, Romania.

Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2016). Indexing Video by the Content. Advances in Soft Computing.
Peer reviewed

Seddati, O., Dupont, S., & Mahmoudi, S. (2016). Video Motion Feature Extractors, 1st Prototype - IMOTION Deliverable 2.2.

Naoui, M., Mahmoudi, S., & Belalem, G. (15 January 2016). Towards a Distributed and Parallel Schema for Active Appearance Model Implementation. International Journal of Computational Vision and Robotics, Vol.6 (1/2), 19 - 40. doi:10.1504/IJCVR.2016.073756
Peer Reviewed verified by ORBi

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.

Daoudi, A., Mahmoudi, S., & Chikh, M. A. (2015). Endocardial Ultrasound Segmentation using Level Set method. Paper presented at 3rd International Conference on Signal, Image, Vision and their Applications, Guelma, Algeria.

Mahmoudi, S. (11 October 2015). Images analysis and annotation for computer aided diagnosis and multimedia management: Invited talk. Paper presented at Journées Doctorales Apprentissage Automatique & Web Intelligence (JDIM 2015), Mostaganem, Algeria.

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.

Seddati, O., Emre, K., Pironkov, G., Dupont, S., Mahmoudi, S., & Dutoit, T. (2015). UMons at MediaEval 2015 Affective Impact of Movies Task including Violent Scenes Detection. IEEE Multimedia.
Peer Reviewed verified by ORBi

Nedjar, I., Mahmoudi, S., Chikh, M. A., Abi-Yad, K., & Bouafia, Z. (2015). Automatic Annotation of Liver CT Image: ImageCLEFmed 2015. Paper presented at Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum, 2015. CEUR Workshop Proceedings 1391, CEUR-WS.org 2015, Toulouse, France.

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

Seddati, O., Dupont, S., & Mahmoudi, S. (2015). DeepSketch: Deep convolutional neural networks for sketch recognition and similarity search. International Workshop on Content-Based Multimedia Indexing, CBMI 2015, Prague, Czech Republic, June 10-12, 2015.
Peer reviewed

Belarbi, M. A., Belalem, G., & Mahmoudi, S. (2015). Research and automatic video indexing by content. Paper presented at International Conference on Multimedia Information processing, Mascara, Algeria.

Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2015). Research and automatic video indexing by content. Paper presented at Conférence Internationale sur le Traitement de l'Information Multimédia (CITIM'2015), Mascara, Algeria.

Nedjar, I., Daho, M. E. H., Settouti, N., Mahmoudi, S., & Chikh, M. A. (30 March 2015). Random forest based classification of medical x-ray images using a genetic algorithm for feature selection. Journal of Mechanics in Medicine and Biology, Vol. 15 (2), 8. doi:10.1142/S0219519415400254
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.

Seddati, O., Dupont, S., & Mahmoudi, S. (10 March 2015). DNN for action recognition in videos. Poster session presented at 8ème édition de la Matinée de Chercheurs, Mons, Belgium.

Seddati, O., Dupont, S., & Mahmoudi, S. (2015). Report on Video Motion Feature Extraction - IMOTION Deliverable 2.1.

Tobon-Gomez, C., Geers, A., Peters, J., Weese, J., Pinto, K., Rashed, K., Ammar, M., Daoudi, A., Margeta, J., Sandoval, Z., Stender, B., Zheng, Y., A. Zuluaga, M., Betancur, J., Ayache, N., Chikh, M. A., Dillenseger, J.-L., Kelm, B. M., Mahmoudi, S., & S. Rhode, K. (2015). Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets. IEEE Transactions on Medical Imaging. doi:10.1109/TMI.2015.2398818
Peer Reviewed verified by ORBi

Pirlot, M., Lazouni, M. A., Mahmoudi, S., & Sobrie, O. (2015). Gestion hospitalière et aide à la décision. Polytech News, (51), 16.

Larhmam, M., Mahmoudi, S., Benjelloun, M., & Gillis, N. (2015). La vision par ordinateur au service de l'oncologie. Polytech News, (51), 13.

Daoudi, A., Mahmoudi, S., & Chikh, M. A. (2015). Automatic Segmentation of the Right Ventricle by Active Shape Model and a Distance Transform. Journal of Medical Imaging and Health Informatics.
Peer Reviewed verified by ORBi

Mahmoudi, S. (01 December 2014). Medical images analysis and annotation for computer aided diagnosis: Invited talk. Paper presented at IWMCS'2014 Second International Workshop on Mathematics and Computer Science, Tiratet, Algeria.

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

Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (2014). Interpretable segmentation process applied to cardiac short axis MRI images. Paper presented at The Biomedical Engineering International Conference BIOMEIC'14, Tlemcen, Algérie, 2014, Tlemcen, Algeria.

Benmouna, Y., Chikh, M. A., & Mahmoudi, S. (2014). String Resource Integration in Gene Selection of microarray data. Paper presented at The Biomedical Engineering International Conference BIOMEIC'14, Tlemcen, Algeria.

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2014). Content-based Medical Images Retrieval. Paper presented at 19th INTERNATIONAL CONFERENCE ON MECHANICS IN MEDICINE AND BIOLOGY (ICMMB- 19), Bologna, Italy.

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

Mahmoudi, S., & Tuyttens, D. (2014). Les projets IG : des réalisations en équipe au coeur des besoins de l'entreprise. Polytech.News, (50).

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2014). Annotation and retrieval approaches for medical images. Paper presented at 4th Doctoral day JD-GBM'2014, Tlemcen , Algeria.

Lazouni, M. A., Settouti, N., Daho, M. E. H., Mahmoudi, S., & Chikh, M. A. (2014). Automatic Detection Of Difficult Tracheal Intubation. Paper presented at The 4th International Conference on Multimedia Computing and Systems (ICMCS'14), Marrakech, Morocco.

MERATI, M., Mahmoudi, S., & Chikh, M. A. (14 March 2014). Texture and Classifier Based Medical Images Retrieval. Journal of Medical Imaging and Health Informatics, Volume 4 (Number 1), 43-48.
Peer Reviewed verified by ORBi

Daoudi, A., & Mahmoudi, S. (31 January 2014). Automatic Segmentation of the Left Atrium on CT Images. Lecture Notes in Computer Science, LNCS 8330, 14-23.
Peer reviewed

Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (31 January 2014). Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge. Lecture Notes in Computer Science, LNCS 8330, 42-48.
Peer reviewed

Lazouni, M. A., Chikh, M. A., & Mahmoudi, S. (02 December 2013). A New Computer Aided Diagnosis System for Pre-Anesthesia Consultation. Journal of Medical Imaging and Health Informatics, 3 (4), 471-479.
Peer Reviewed verified by ORBi

Lazouni, M. A., Daho, M. E. H., Settouti, N., Chikh, M. A., & Mahmoudi, S. (01 December 2013). Machine Learning Tool for Automatic ASA Detection. Studies in Computational Intelligence, SCI 488, 9-16.
Peer reviewed

Seriari, M., Chikh, M. A., & Mahmoudi, S. (2013). Breast cancer diagnosis in digital mammogram using curvelet transform and GLCM features. Paper presented at INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA'13), Guelma , Algeria.

Daoudi, A., Mahmoudi, S., & Chikh, M. A. (2013). Active shape model for the semi-automatic segmentation of the right ventricle. Paper presented at INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA'13), Guelma , Algeria.

Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2013). Content-based medical images classification. Paper presented at INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA'13), Guelma , Algeria.

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

Naoui, M., Belalem, G., & Mahmoudi, S. (01 September 2013). A Reflexion on Implementation Version for Active Appearance Model. International Journal of Computer Vision and Image Processing, 3 (Issue 3), 16-30. doi:10.4018/ijcvip.2013070102
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

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

Belaidi, S., Mahmoudi, S., & Chikh, M. A. (2013). Automatic regions detection in X- rays images using SVM method. Paper presented at Troisième Journée Doctorale en génie biologique et médical, Tlemcen, Algeria.

Naoui, M., Belalem, G., & Mahmoudi, S. (2013). Towards an object-oriented client-server schema for active appearance model implementation. The Mediterranean Journal of Computers and Networks.
Peer reviewed

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.

Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (2012). Segmentation de la cavité cardiaque gauche dans les images IRM par l'algorithme Espérance-Maximisation (EM). Paper presented at Biomedical Engineering International Conference - BIOMEC 2012, Tlemcen - Algérie, France.

Meziane, A., Mahmoudi, S., & Chikh, M. A. (2012). Étude et comparaison des méthodes de segmentation d'images cérébrales. Paper presented at Biomedical Engineering International Conference - BIOMEC 2012, Tlemcen - Algérie, France.

Seriari, M., Mahmoudi, S., & Chikh, M. A. (2012). Détection automatique des masses dans les images mammographiques. Paper presented at Biomec 2012  Biomedical Engineering International Conference, 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

Saad, S., Mahmoudi, S., & Manneback, P. (2012). An Ontology for video human movement representation based on Benesh notation. Paper presented at I-Semantics'2012, Graz, Austria. doi:10.1145/2362499.2362519

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

Saad, S., De Beul, D., Mahmoudi, S., & Manneback, P. (2012). Annotation sémantique des mouvements humains par une approche ontologique. Paper presented at COmpression et REprésentation des Signaux Audiovisuels (CORESA), Lille, France.

Mahmoudi, S. (23 May 2012). Traitement d'images et fouille de données au service de l'aide au diagnostic médical. Paper presented at Deuxième Journée Doctorale en génie biologique et médical, Tlemcen, Algeria.

Saad, S., De Beul, D., Mahmoudi, S., & Manneback, P. (2012). An Ontology for video human movement representation based on Benesh notation. Paper presented at 2012 International Conference on Multimedia Computing and Systems (ICMCS), Tanger, Morocco. doi:10.1109/ICMCS.2012.6320129

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

Ammar, M., Mahmoudi, S., Chikh, M. A., & Amine, A. (01 April 2012). Endocardial Border Detection in Cardiac Magnetic Resonance Images Using Level Set Method. Journal of Digital Imaging, Volume 25 (Issue 2), 294-306. doi:10.1007/s10278-011-9404-z
Peer Reviewed verified by ORBi

Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (01 March 2012). Automatic segmentation of cardiac magnetic resonance images using Active Appearance Models and Hausdorff distance. Journal of Mechanics in Medicine and Biology, 12 (04), 1250059 (19. doi:10.1142/S0219519412005058
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.

Bagein, M., Fremal, S., & Mahmoudi, S. (2011). Green Computing, ou comment les processeurs graphiques économisent le temps et l'énergie. Polytech News, (46).

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

Mahmoudi, S. (2011). La navigation dans les bases d'objets tridimensionnels au service de l'exploitation du patrimoine. Polytech News, (45).

MERATI, M., & Mahmoudi, S. (2011). Moteur de recherche d'images médicales en combinant la BEMD et le filtre de Gabor. Paper presented at The First International Conference on Information Systems and Technologies, Tébessa , Algeria.

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.

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

Ammar, M., Chikh, M. A., & Mahmoudi, S. (2010). Toward an Automatic Segmentation Method of Endocardial Border in Cardiac Magnetic Resonance Images. Paper presented at The International Arab Conference on Information Technology ACIT 2010, Benghazi, Libya.

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.

MERATI, M., & Mahmoudi, S. (2009). Une Nouvelle Approche de Segmentation d'Images Médicales par Combinaison des deux Modèles Déformables : ASM et Snakes. Paper presented at Conférence Nationale en Sciences et Technologies de l'Information et de la Communication - STIC 2009, M'Sila, Algeria.

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

Mejeded, M., & Mahmoudi, S. (03 May 2009). The deformable models and their applications in the processing of medical images : Les modèles déformables et leurs applications dans le traitement des images médicales. CEUR Workshop Proceedings, Volume 547, 11.
Peer reviewed

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.

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, .

Mahmoudi, S., & Daoudi, M. (01 October 2007). A probabilistic approach for 3D shape retrieval by characteristic views. Pattern Recognition Letters, 28 (13), 1705-1718.
Peer Reviewed verified by ORBi

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, .

Mahmoudi, S. (2007). Spine localization and vertebral mobility analysis using faces contours detection. Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, 6557-6560.
Peer reviewed

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., 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. (2006). Verterbra Edge Detection and Motion Estimation with Polar Signature. IEEE International Conference on Image Processing, 761-764.
Peer reviewed

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., 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). A New Method for Vertebrae Contours Detection in X-ray Images. Paper presented at Irish Machine Vision and Image Processing Conference, Dublin, Ireland.

Mahmoudi, S., & Daoudi, M. (2004). Partial Shape Retrieval By M-tree and a Bayesian Approach. Paper presented at Computer Vision, Graphics and Image Processing - ICVGIP 2004, Kolkata, India.

Filali Ansary, T., Vandeborre, J. P., Mahmoudi, S., & Mohamed, D. (2004). A Bayesian framework for 3D models retrieval based on characteristic views. Paper presented at The Second International Symposium on 3D Data Processing Visualization and Transmission - 3DPVT 2004, Thessaloniki, Greece.

Mahmoudi, S. (2003). Indexation de formes planes : application à la reconnaissance multi-vues de modèles 3D. Unpublished doctoral thesis, Université de Mons.
Jury: .

Mahmoudi, S., & Daoudi, M. (2003). Retrieval by shape using CSS and M-tree. Paper presented at he third international workshop on Content-Based Multimedia Indexing - CBMI 2003, Rennes , France.

Mahmoudi, S., & Daoudi, M. (11 July 2002). 3D Models Retrieval by using Characteristic Views. International Conference on Pattern Recognition, Volume 16 (Issue 2), 457-460.
Peer reviewed

Mahmoudi, S., & Daoudi, M. (2002). 3D Models Retrieval and Indexing. Paper presented at IMMCN'2002, the Second International Workshop on Intelligent Multimedia Computing and Networking, Durham, United States - North Carolina.

Mahmoudi, S., & Daoudi, M. (2002). Une nouvelle méthode d'indexation 3D. Paper presented at 13ème Congrès de Reconnaissance des Formes et d'Intelligence Artificielle, RFIA 2002, Angers, France.

Mahmoudi, S. (2001). Indexation par la forme utilisant les M-Tree. Paper presented at Compression et Représentation des Signaux Audiovisuels, (CORESA 2001), Dijon, France.

Mahmoudi, S., Jacob, G., Oussous, N.-E., & Petitot, M. (2001). Un paquetage MAPLE pour les séries rationnelles non commutatives. Paper presented at Colloque International Algèbre Linéaire et Arithmétique ALA'2001: Calcul Numérique, Symbolique et Parallèle, Rabat , Morocco.

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