Cited by
Cited by
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
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, 1022306, 2017
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
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
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
Shot noise adaptive bilateral filter
H Phelippeau, H Talbot, M Akil, S Bara
2008 9th International Conference on Signal Processing, 864-867, 2008
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
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
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
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
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
Optimized implementation of real-time image processing algorithms on field programmable gate arrays
AF Dias, C Lavarenne, M Akil, Y Sorel
ICSP'98. 1998 Fourth International Conference on Signal Processing (Cat. No …, 1998
Real-time dynamic tone-mapping operator on GPU
M Akil, T Grandpierre, L Perroton
Journal of Real-Time Image Processing 7 (3), 165-172, 2012
Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices
M Boubaker, M Akil, KB Khalifa, T Grandpierre, MH Bedoui
Neural Computing and Applications 19 (2), 283-297, 2010
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 (2), 363-377, 2018
Real-time implementation of morphological filters with polygonal structuring elements
J Bartovský, P Dokládal, E Dokládalová, M Bilodeau, M Akil
Journal of Real-Time Image Processing 10 (1), 175-187, 2015
FPGA-based architecture for hardware compression/decompression of wide format images
M Akil, L Perroton, T Grandpierre
Journal of Real-Time Image Processing 1 (2), 163-170, 2006
Optimizations for real-time implementation of H264/AVC video encoder on DSP processor
N Bahri, I Werda, T Grandpierre, MAB Ayed, N Masmoudi, M Akil
International Review on Computers and Software (IRECOS) 8 (9), 2025-2035, 2013
Fast and efficient FPGA implementation of connected operators
N Ngan, E Dokladalova, M Akil, F Contou-Carrere
Journal of Systems Architecture 57 (8), 778-789, 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, 1140106, 2020
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