| Fuzzy farthest point first method for MRI brain image clustering M Debakla, M Salem, K Djemal, K Benmeriem IET Image Processing 13 (13), 2395-2400, 2019 | 8 | 2019 |
| A Novel Approach for Medical Images Noise Reduction Based RBF Neural Network Filter. M Debakla, K Djemal, M Benyettou J. Comput. 10 (2), 68-80, 2015 | 7 | 2015 |
| Influence of Noise Distribution on Active Contour Models: Medical Images Segmentation M Debakla, K Djemal, M Benyettou Asian Journal of Applied Sciences 4 (2), 101--111, 2011 | 6 | 2011 |
| Image restoration using multilayer neural networks with minimization of total variation approach M Debakla, K Djemal, M Benyettou International Journal of Computer Science Issues 11 (1), 106-116, 2014 | 5 | 2014 |
| Image segmentation with spiking neuron network B Meftah, A Benyettou, O Lezoray, M Debakla AIP Conference Proceedings 1019 (1), 15-19, 2008 | 5 | 2008 |
| CMA-ES based fuzzy clustering approach for MRI images segmentation M Debakla, M Salem, RB Bouiadjra, M Rebbah International Journal of Computers and Applications 45 (1), 1-7, 2023 | 3 | 2023 |
| Fault tolerance in grid computing by resource clustering M Khaldi, M Rebbah, B Meftah, M Debakla International Journal of Internet Technology and Secured Transactions 10 (1 …, 2020 | 3 | 2020 |
| Toward A Performing Resource Provisioning Model for Hybrid Cloud M Rebbah, Y Slimani, M Debakla, O Smail International Journal of Grid and High Performance Computing (IJGHPC) 10 (4 …, 2018 | 3 | 2018 |
| Hybrid Distribution for Association Rules Extraction on Grid Computing M Rebbah, MEA Yemres, M Khaldi, M Debakla Retrieved, 24th Nov, 2015 | 3 | 2015 |
| Tolérance aux fautes dans les grilles de calcul M REBBAH University of sciences and technology in Oran, 2015 | 3 | 2015 |
| MRI image denoising approach based on TV and neural network filter M Debakla, K Djemal, M Rebbah Proc. Int. Conf. Image Process. Prod. Comput. Sci.(ICIPCS), 23-30, 2015 | 2 | 2015 |
| Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings, Part I LS Iliadis, H Papadopoulos, C Jayne Springer, 2013 | 1 | 2013 |
| Spiking neuron network for image segmentation B Meftah, M Debakla, M Zaagane, A Benyettou, O Lezoray Maghrebian Conference on Information Technologies, 13-17, 2008 | 1 | 2008 |
| Novel feature selection method for accurate breast cancer classification using Correlation coefficient and Modified GWO Algorithm. A Mezaghrani, M Debakla, K Djemal Computer Science Journal of Moldova 32 (2), 2024 | | 2024 |
| Mammographic Masses Descriptor for Breast Cancer Classification and Automatic Diagnosis. M EL Amine Yermes, M Debakla, K Djemal Revue d'Intelligence Artificielle 38 (2), 2024 | | 2024 |
| Automatic Control of Multiple Pseudo-Relevance Feedback Pass C Mokhtari, M Debakla, B Meftah Models & Optimisation and Mathematical Analysis Journal 7 (1), 10-15, 2019 | | 2019 |
| Global Journal on Technology M Debakla, K Djemal, M Benyettou | | 2015 |
| A Novel Approach for Medical Images Noise Reduction Using Neural Filter M Debakla, K Djemal, M Benyettou Global Journal on Technology 8, 267--275, 2015 | | 2015 |
| Image Restoration Method by Total Variation Minimization Using Multilayer Neural Networks Approach M Debakla, K Djemal, M Benyettou Engineering Applications of Neural Networks: 14th International Conference …, 2013 | | 2013 |
| MORIC: Un Système de Recherche d‟ Information Contextuel I ZOUANEB, M DEBAKLA, A TOUMOUH | | |
