International Journals
[1] Ines Assali, Ahmed Ghazi Blaiech, Asma Ben Abdallah, Khaled Ben Khalifa, Marcel Carrèree, Mohamed Hédi Bedoui, «CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features», Biomedical Signal Processing and Control, published 28 December 2022. Impact Factor= 5.076, Quartile=Q1. Doi:https://doi.org/10.1016/j.bspc.2022.104519
[2] Ahmed Beji, Ahmed Ghazi Blaiech, Mourad Said, Asma Ben Abdallah & Mohamed Hédi Bedoui, «An innovative medical image synthesis based on dual GAN deep neural networks for improved segmentation quality», Applied Intelligence, published 30 May 2022. Impact Factor= 5.01, Quartile=Q2. Doi: https://doi.org/10.1007/s10489-022-03682-2
[3] Ines Assali, Ines Jlassi, Mouna Aissi, Ahmed Ghazi Blaiech, Marcel Carrèree, Mohamed Hedi Bedoui, «Comparison by multivariate auto-regressive method of epileptic seizures prediction for real patients and virtual patients», Biomedical Signal Processing and Control, 2021.Impact Factor= 3.13, Quartile=Q1. Doi: 10.1016/j.bspc.2021.102725
[4] Souhir Khessiba, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hédi Bedoui « Innovative deep learning models for EEG-based vigilance detection », Neural Computing and Applications , 2020, Impact Factor= 4.77, Quartile= Q1. Doi:10.1007/s00521-020-05467-5
[5] Khaled Ben Khalifa, Ahmed Ghazi Blaiech, Mohamed Hédi Bedoui « A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network», Computational Intelligence and Neuroscience, 2019, Impact Factor= 2.15, Quartile= Q1. Doi:10.1155/2019/8212867
[6] Khaled Ben Khalifa, Ahmed Ghazi Blaiech, Mehdi Abadi, Mohamed Hedi Bedoui, « A New Hardware Architecture for Self-Organizing Map Used for Colour Vector Quantization », Journal of Circuits, Systems and Computers, 2019, Impact Factor= 0.59, Quartile= Q3. Doi:10.1142/S0218126620500024
[7] Ahmed Ghazi Blaiech, Khaled BEN KHALIFA, Carlos Alberto VALDERRAMA SAKUYAMA, Marcelo AC FERNANDES, Mohamed Hedi BEDOUI « A Survey and Taxonomy of FPGA-based Deep Learning Accelerators », Journal of Systems Architecture, 2019, Impact Factor= 1.15, Quartile= Q2. Doi:10.1016/j.sysarc.2019.01.007
[8] Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Hedi Bedoui, “LVQ neural network optimized implementation on FPGA devices with multiple-wordlength operations for real-time systems”, Neural Computing and Applications, 2018, Volume 29, Issue 2, pp 509–528. “Indexed scopus and Isi Thomson, Impact Factor= 4.6, Quartile= Q1 ”. Doi:10.1007/s00521-016-2465-7
[9] Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Akil, Mohamed Hedi Bedoui, “Integration of Optimization Approach Based on Multiple Wordlength Operation Grouping in the AAA Methodology for Real-Time Systems : LVQ Implementation”, International Journal of Embedded and Real-Time Communication Systems, volume 5, issue 1, pp.37-60, 2014 “Indexed scopus”.Doi: 10.4018/ijertcs.2014010103
[10] Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Hedi Bedoui, "Implementation of a Multi-Layer Perceptron Neural Networks in Multi-Width Fixed Point Coding," International Journal of Modeling and Optimization, vol. 2, no. 3, pp. 280-283, 2012, ISSN 2010-3697. Doi:http://www.ijmo.org/papers/127-C026.pdf
International Conferences
[11] Souhir Khessiba, Ahmed Ghazi Blaiech, Antoine Manzanera, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hédi Bedoui «Hyperparameter Optimization of Deep Learning Models for EEG-Based Vigilance Detection », Conference on Computational Collective Intelligence Technologies and Applications, ICCCI 2022: Advances in Computational Collective Intelligence pp 200–210. “B ranking”. Doi: https://link.springer.com/chapter/10.1007/978-3-031-16210-7_16
[12] Safa Mathlouthi, Ahmed Ghazi Blaiech, Mourad Said, Asma Ben Abdallah, Mohamed Hédi Bedoui «A Novel Deep Learning Model for Knee Cartilage 3D Segmentation », 18th ACS/IEEE International Conference on Computer Systems and Applications AICCSA, 2021. “C ranking”. Doi: 10.1109/AICCSA53542.2021.9686896
[13] Amir Bouden, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hédi Bedoui «A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images», Artificial Intelligence in Medicine, 2021. “B ranking”. Doi: 10.1007/978-3-030-77211-6_44
[14] Ahmed Ghazi Blaiech, Asma Mansour, Asma Kerkeni, Mohamed Hédi Bedoui, Asma Ben Abdallah « Impact of Enhancement for Coronary Artery Segmentation Based on Deep Learning Neural Network», 9t th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, July 1-4, 2019. “C ranking”. Doi: http://www.ibpria.org/2019/files/Proceedings_IBPRIA2019.zip
[15] Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Hédi Bedoui. “Multi-Width Fixed-Point Coding Based on Reprogrammable Hardware Implementation of a Multi-Layer Perceptron Neural Network for Alertness Classification”, 10 th International Conference on Intelligent Systems Design and Applications, November 2010, Cairo, Egypte. Print ISBN: 978-1-4244-8134-7. “C ranking” Doi: 10.1109/ISDA.2010.5687196
International communications
[16] Souhir Khessiba, Ahmed Ghazi Blaiech, Mohamed Hédi Bedoui. “Détection des Etats de Vigilance par Analyse des Signaux EEG Basée sur les Réseaux de Neurones Profonds”, 9 th workshop AMINA 2018, November 2018, Monastir, Tunisie.
[17] Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Mohamed Hedi Bedoui, "Méthodologie d’implémentation optimisée sur FPGA basée sur des opérateurs en virgule fixe à largeurs multiples, 6th workshop AMINA 2012, 17-18-19 December 2012, Mahdia, Tunisie, pp 236-243.
[18] Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Bernard Girau, Mohamed Hédi Bedoui. “Estimation du codage pour l’implantation d’un réseau de neurones de type perçeptron multicouches”.4th workshop AMINA 2008, November 2008, Monastir, Tunisie, pp 211-216.