| Fully automatic brain tumor segmentation using end-to-end incremental deep neural networks in MRI images R Saouli, M Akil, R Kachouri Computer methods and programs in biomedicine 166, 39-49, 2018 | 228 | 2018 |
| Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy M Akil, R Saouli, R Kachouri Medical image analysis 63, 101692, 2020 | 148 | 2020 |
| A comparison study between MLP and convolutional neural network models for character recognition SB Driss, M Soua, R Kachouri, M Akil Real-Time Image and Video Processing 2017 10223, 32-42, 2017 | 107 | 2017 |
| Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images A Mvoulana, R Kachouri, M Akil Computerized Medical Imaging and Graphics 77, 101643, 2019 | 78 | 2019 |
| Fast and efficient retinal blood vessel segmentation method based on deep learning network H Boudegga, Y Elloumi, M Akil, MH Bedoui, R Kachouri, AB Abdallah Computerized Medical Imaging and Graphics 90, 101902, 2021 | 76 | 2021 |
| Cognitive radio spectrum e volution prediction using a rtificial neural networks based multivariate t ime series modelling MI Taj, M Akil 17th European Wireless 2011-Sustainable Wireless Technologies, 1-6, 2011 | 51 | 2011 |
| A deep learning-based smartphone app for real-time detection of five stages of diabetic retinopathy S Majumder, Y Elloumi, M Akil, R Kachouri, N Kehtarnavaz Real-Time Image Processing and Deep Learning 2020 11401, 13-22, 2020 | 40 | 2020 |
| A methodology to implement real-time applications onto reconfigurable circuits L Kaouane, M Akil, T Grandpierre, Y Sorel The journal of supercomputing 30 (3), 283-301, 2004 | 35 | 2004 |
| Parallel algorithm for concurrent computation of connected component tree P Matas, E Dokladalova, M Akil, T Grandpierre, L Najman, M Poupa, ... International Conference on Advanced Concepts for Intelligent Vision Systems …, 2008 | 33 | 2008 |
| Detection of retinal abnormalities in fundus image using CNN deep learning networks M Akil, Y Elloumi, R Kachouri State of the Art in Neural Networks and their Applications, 19-61, 2021 | 31 | 2021 |
| Efficient poisson denoising for photography H Talbot, H Phelippeau, M Akil, S Bara 2009 16th IEEE International Conference on Image Processing (ICIP), 3881-3884, 2009 | 30 | 2009 |
| Ocular diseases diagnosis in fundus images using a deep learning: approaches, tools and performance evaluation Y Elloumi, M Akil, H Boudegga Real-Time Image Processing and Deep Learning 2019 10996, 221-228, 2019 | 29 | 2019 |
| Shot noise adaptive bilateral filter H Phelippeau, H Talbot, M Akil, S Bara 2008 9th International Conference on Signal Processing, 864-867, 2008 | 29 | 2008 |
| A mobile computer aided system for optic nerve head detection Y Elloumi, M Akil, N Kehtarnavaz Computer methods and programs in biomedicine 162, 139-148, 2018 | 27 | 2018 |
| A fast and accurate method for glaucoma screening from smartphone-captured fundus images Y Mrad, Y Elloumi, M Akil, MH Bedoui Irbm 43 (4), 279-289, 2022 | 24 | 2022 |
| Detection of retinal abnormalities using smartphone-captured fundus images: a survey M Akil, Y Elloumi Real-Time Image Processing and Deep Learning 2019 10996, 126-133, 2019 | 20 | 2019 |
| GPU parallel implementation of the new hybrid binarization based on Kmeans method (HBK) M Soua, R Kachouri, M Akil Journal of Real-Time Image Processing 14, 363-377, 2018 | 20 | 2018 |
| Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices M Boubaker, M Akil, K Ben Khalifa, T Grandpierre, MH Bedoui Neural Computing and Applications 19, 283-297, 2010 | 20 | 2010 |
| A framework for heuristic scheduling for parallel processing on multicore architecture: A case study with multiview video coding Y Pang, L Sun, J Wen, F Zhang, WD Hu, W Feng, S Yang IEEE Transactions on Circuits and Systems for Video Technology 19 (11), 1658 …, 2009 | 20 | 2009 |
| Low level image processing operators on FPGA: implementation examples and performance evaluation MA De Barros, M Akil Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994 | 20 | 1994 |
