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24

Rostom Kachouri, Associate Professor at ESIEE Paris


Presentation:

Rostom Kachouri received his Engineer and Master degrees from the National Engineering School of Sfax (ENIS) respectively in 2003 and 2004. In 2010, he received his Ph.D. in Image and Signal Processing from the University of Evry Val d’Essonne. 
From 2005 to 2010, Dr. Kachouri was an Assistant Professor at the National Engineering School of Sfax (ENIS) and then at the University of Evry Val d’Essonne. 
From 2010 to 2012, He held a post-doctoral position as part of a project with the high technology group SAGEMCOM. 
Dr. Kachouri is currently Associate Professor in the Computer Science Department and Head of apprenticeship computer and application engineering at ESIEE, Paris.
He is member of the Institut Gaspard-Monge, unité mixte de recherche CNRS-UMLPE-ESIEE, UMR 8049.  
His main research interests include pattern recognition, machine learning, clustering and Algorithm-Architecture Matching.

Biographical references:


Mohamed Akil   

Journal articles6 documents

  • Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli, Rostom Kachouri. Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy. Medical Image Analysis, Elsevier, In press, ⟨10.1016/j.media.2020.101692⟩. ⟨hal-02533454⟩
  • Amed Mvoulana, Rostom Kachouri, Mohamed Akil. 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. Computerized Medical Imaging and Graphics, Elsevier, 2019, 77, pp.101643. ⟨10.1016/j.compmedimag.2019.101643⟩. ⟨hal-02295007⟩
  • Latifa Greche, Mohamed Akil, Rostom Kachouri, Najia Es-Sbai. A new pipeline for the recognition of universal expressions of multiple faces in a video sequence. Journal of Real-Time Image Processing, Springer Verlag, 2019, ⟨10.1007/s11554-019-00896-5⟩. ⟨hal-02175795⟩
  • Mostefa Ben Naceur, Rachida Saouli, Mohamed Akil, Rostom Kachouri. Fully Automatic Brain Tumor Segmentation using End-to-End Incremental Deep Neural Networks in MRI images. Computer Methods and Programs in Biomedicine, Elsevier, 2018, 166, pp.39 - 49. ⟨10.1016/j.cmpb.2018.09.007⟩. ⟨hal-01893017⟩
  • Mahmoud Soua, Rostom Kachouri, Mohamed Akil. GPU parallel implementation of the new hybrid binarization based on Kmeans method (HBK). Journal of Real-Time Image Processing, Springer Verlag, 2018, 14 (2), pp.363-377. ⟨10.1007/s11554-014-0458-2⟩. ⟨hal-01286297⟩
  • Takwa Chihaoui, Rostom Kachouri, Hejer Jlassi, Mohamed Akil, Kamel Hamrouni. Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor. Advances in Systems, Signals and Devices, De Gruyter, 2018, Communication and Signal Processing, 8, pp.113-126. ⟨10.1515/9783110470383-008⟩. ⟨hal-01870666⟩

Conference papers16 documents

  • Sharmin Majumder, Yaroub Elloumi, Mohamed Akil, Rostom Kachouri, Nasser Kehtarnavaz. A deep learning-based smartphone app for real-time detection of five stages of diabetic retinopathy. Real-Time Image Processing and Deep Learning 2020, Apr 2020, San Diego, California (Online Only), United States. pp.5, ⟨10.1117/12.2557554⟩. ⟨hal-02556991⟩
  • Mostefa Ben Naceur, Mohamed Akil, Rachida Saouli, Rostom Kachouri. Deep Convolutional Neural Networks for Brain tumor segmentation: boosting performance using deep transfer learning: preliminary results. MICCAI-BRATS 2019 Workshop : Multimodal Brain Tumor Segmentation Challenge, Oct 2019, Shenzhen, China. ⟨hal-02533409⟩
  • Mostefa Ben Naceur, Rostom Kachouri, Mohamed Akil, Rachida Saouli. A new Online Class-Weighting approach with Deep Neural Networks for image segmentation of Highly Unbalanced Glioblastoma Tumors. International Work-Conference on Artificial Neural Networks (IWANN-Advances in Computational Intelligence), Jun 2019, Gran Canaria, Spain. ⟨10.1007/978-3-030-20518-8_46⟩. ⟨hal-02172208⟩
  • Sofien Sayadia, Yaroub Elloumi, Rostom Kachouri, Mohamed Bedoui, Mohamed Akil. Détection du Disque Optique : Critères de performance et Evaluation des méthodes. WORKSHOP AMINA 2018 "Applications Médicales de l'Informatique : Nouvelles Approches", Nov 2018, Monastir, Tunisie. ⟨hal-02004695⟩
  • Yaroub Elloumi, Rostom Kachouri, Mohamed Hedibedoui, Mohamed Akil. Stratégie de parallélisme d'une méthode de segmentation des vaisseaux rétiniens sur architecture parallèle à mémoire partagée. WORKSHOP AMINA 2018 "Applications Médicales de l'Informatique : Nouvelles Approches", Nov 2018, Monastir, Tunisie. ⟨hal-02004691⟩
  • Syrine Ben Driss, Mahmoud Soua, Rostom Kachouri, Mohamed Akil. A comparison study between MLP and Convolutional Neural Network models for character recognition. SPIE Conference on Real-Time Image and Video Processing, Apr 2017, Anaheim, CA, United States. ⟨10.1117/12.2262589⟩. ⟨hal-01525504⟩
  • Mahmoud Soua, Alae Benchekroun, Rostom Kachouri, Mohamed Akil. Real-time text extraction based on the page layout analysis system. SPIE Conference on Real-Time Image and Video Processing, Apr 2017, Anaheim, CA, United States. ⟨10.1117/12.2262364⟩. ⟨hal-01525503⟩
  • Rostom Kachouri, Mahmoud Soua, Mohamed Akil. Unsupervised Image Segmentation Based on Local pixel Clustering and Low-Level Region Merging. 2nd IEEE International Conference on Advanced Technologies for Signal and Image Processing ATSIP'16, Mar 2016, Monastir, Tunisia. ⟨hal-01309999⟩
  • Takwa Chihaoui, Hejer Jlassi, Rostom Kachouri, Kamel Hamrouni, Mohamed Akil. Personal verification system based on retina and SURF descriptors. 13th IEEE International Multi-Conference on Systems, Signals & Devices (SSD 2016), Mar 2016, Leipzig, Germany. ⟨10.1109/SSD.2016.7473709⟩. ⟨hal-01305985⟩
  • Takwa Chihaoui, Rostom Kachouri, Hejer Jlassi, Mohamed Akil, Kamel Hamrouni. L'extraction d'un anneau d'interet autour de disque optique pour une identification rétinienne robuste. ERIS’2016 Eye-tracking, Regard, Interactions et Suppléances, Nov 2016, Orléans, France. ⟨hal-01422020⟩
  • Rostom Kachouri, Mohamed Akil. Hardware design to accelerate PNG encoder for binary mask compression on FPGA. SPIE 9400, Real-Time Image and Video Processing, Feb 2015, San Francisco, California, United States. ⟨10.1117/12.2076483⟩. ⟨hal-01305864⟩
  • Rostom Kachouri, Christian Armas, Mohamed Akil. Gamma correction acceleration for real-time text extraction from complex colored images. Image Processing (ICIP) 2015, Sep 2015, Quebec City, QC, Canada. ⟨10.1109/ICIP.2015.7350854⟩. ⟨hal-01305887⟩
  • Mahmoud Soua, Rostom Kachouri, Mohamed Akil. Efficient multiscale and multifont optical character recognition system based on robust feature description. 5th International Conference on Image Processing Theory, Tools and Applications , Nov 2015, Orléans, France. ⟨10.1109/IPTA.2015.7367214⟩. ⟨hal-01309987⟩
  • Mahmoud Soua, Rostom Kachouri, Mohamed Akil. Improved Hybrid Binarization based on Kmeans for Heterogeneous document processing. 9th International Symposium on Image and Signal Processing and Analysis, ISPA'15, Sep 2015, Zagreb, Croatia. pp.210-215, ⟨10.1109/ISPA.2015.7306060⟩. ⟨hal-01309993⟩
  • Takwa Chihaoui, Rostom Kachouri, Hejer Jlassi, Mohamed Akil, Kamel Hamrouni. Human identification system based on the detection of optical Disc Ring in retinal images. 5th International Conference on Image Processing Theory, Tools and Applications, Nov 2015, Orléans, France. pp.263-267, ⟨10.1109/IPTA.2015.7367143⟩. ⟨hal-01309990⟩
  • Mahmoud Soua, Rostom Kachouri, Mohamed Akil. A new hybrid binarization method based on Kmeans. 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), May 2014, Athens, Greece. ⟨10.1109/ISCCSP.2014.6877830⟩. ⟨hal-01305856⟩

Book sections2 documents

  • Mohamed Akil, Yaroub Elloumi, Rostom Kachouri. Detection of Retinal Abnormalities in Fundus Image Using CNN Deep Learning Networks. Elsevier. State of the Art in Neural Networks, 1, Ayman S. El-Baz; Jasjit S. Suri, In press. ⟨hal-02428351⟩
  • Rostom Kachouri, Mohamed Akil, Yaroub Elloumi. Retinal image processing in Biometrics. Amine Nait-Ali. Hidden Biometrics _ When Biometric Security Meets Biomedical Engineering, 2019, 978-981-13-0956-4. ⟨10.1007/978-981-13-0956-4_10⟩. ⟨hal-02295012⟩