Rostom Kachouri
Orcid: 0000-0002-9451-4269
According to our database1,
Rostom Kachouri
authored at least 32 papers
between 2008 and 2023.
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Bibliography
2023
Early glaucoma screening Decision Tree using in-depth clinical analysis of the optic nerve head.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023
A Robustness Study of Machine Learning Based Methods for Macula Detection in Pathological Fundus Images.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023
Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels.
Proceedings of the 9th International Conference on Control, 2023
2022
Automated method for real-time AMD screening of fundus images dedicated for mobile devices.
Medical Biol. Eng. Comput., 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Automated Diagnosis of Retinal Neovascularization Pathologies from Color Retinal Fundus Images.
Proceedings of the Advances in Computer Graphics, 2022
2021
Fast and efficient retinal blood vessel segmentation method based on deep learning network.
Comput. Medical Imaging Graph., 2021
2020
Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy.
Medical Image Anal., 2020
A new pipeline for the recognition of universal expressions of multiple faces in a video sequence.
J. Real Time Image Process., 2020
Fine-tuning Convolutional Neural Networks: a comprehensive guide and benchmark analysis for Glaucoma Screening.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
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.
Comput. Medical Imaging Graph., 2019
A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Ninth International Conference on Image Processing Theory, 2019
Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
GPU parallel implementation of the new hybrid binarization based on Kmeans method (HBK).
J. Real Time Image Process., 2018
Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Comput. Methods Programs Biomed., 2018
Proceedings of the International Conference on Internet of Things, 2018
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018
2016
Unsupervised image segmentation based on local pixel clustering and low-level region merging.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016
Proceedings of the 13th International Multi-Conference on Systems, Signals & Devices, 2016
2015
Proceedings of the Real-Time Image and Video Processing 2015, 2015
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015
Efficient multiscale and multifont optical character recognition system based on robust feature description.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
Human identification system based on the detection of optical Disc Ring in retinal images.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
Gamma correction acceleration for real-time text extraction from complex colored images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Proceedings of the 6th International Symposium on Communications, 2014
2011
Sélection adaptative de caractéristiques pertinentes et classification hiérarchique des images dans les bases hétérogènes.
Traitement du Signal, 2011
2010
Classification multi-modèles des images dans les bases Hétérogènes. (Multi-model image classification in heterogeneous databases).
PhD thesis, 2010
Pattern Recognit., 2010
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010
2008
Heterogeneous Image Retrieval System based on Features Extraction and SVM Classifier.
Proceedings of the ICINCO 2008, 2008