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Ahmed Ghazi Blaiech
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2020 – today
- 2025
- [j11]Amir Bouden, Ahmed Ghazi Blaiech, Asma Ben Abdallah, Mourad Said, Mohamed Hédi Bedoui:
Novel Model of Medical CT Image Segmentation Based on GANs With Residual Neural Networks. Int. J. Imaging Syst. Technol. 35(2) (2025) - 2024
- [c8]Fatma Sbiaa, Sonia Kotel, Rania Mghirbi, Ahmed Ghazi Blaiech:
Revolutionizing Dyslexia Diagnosis: An Intelligent Model Featuring Machine Learning and Fuzzyfication. KES 2024: 3624-3633 - 2023
- [j10]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. Appl. Intell. 53(3): 3381-3397 (2023) - [j9]Ines Assali, Ahmed Ghazi Blaiech
, Asma Ben Abdallah, Khaled Ben Khalifa, Marcel Carrère
, Mohamed Hédi Bedoui:
CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features. Biomed. Signal Process. Control. 82: 104519 (2023) - [c7]Hmidi Alaeddine, Ahmed Ghazi Blaiech, Jihene Malek:
A Deep Pair Siamese CNN for Multi-Class Classification of Alzheimer Disease. CW 2023: 345-349 - [c6]Souhir Khessiba, Ahmed Ghazi Blaiech, Asma Ben Abdallah, Rim Grassa, Antoine Manzanera, Mohamed Hédi Bedoui:
Improving Knee Osteoarthritis Classification with Markerless Pose Estimation and STGCN Model. MMSP 2023: 1-7 - 2022
- [j8]Souhir Khessiba, Ahmed Ghazi Blaiech, Khaled Ben Khalifa
, Asma Ben Abdallah, Mohamed Hédi Bedoui:
Correction to: Innovative deep learning models for EEG-based vigilance detection. Neural Comput. Appl. 34(1): 819 (2022) - [c5]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. ICCCI (CCIS Volume) 2022: 200-210 - 2021
- [j7]Ines Assali, Ines Jlassi, Mouna Aissi, Ahmed Ghazi Blaiech
, Marcel Carrère
, Mohamed Hedi Bedoui:
Comparison by multivariate auto-regressive method of seizure prediction for real patients and virtual patients. Biomed. Signal Process. Control. 68: 102725 (2021) - [j6]Souhir Khessiba, Ahmed Ghazi Blaiech
, Khaled Ben Khalifa
, Asma Ben Abdallah, Mohamed Hédi Bedoui:
Innovative deep learning models for EEG-based vigilance detection. Neural Comput. Appl. 33(12): 6921-6937 (2021) - [c4]Safa Mathlouthi, Ahmed Ghazi Blaiech, Mourad Said, Asma Ben Abdallah, Mohamed Hédi Bedoui:
A Novel Deep Learning Model for Knee Cartilage 3D Segmentation. AICCSA 2021: 1-7 - [c3]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. AIME 2021: 378-383 - 2020
- [j5]Khaled Ben Khalifa
, Ahmed Ghazi Blaiech
, Mehdi Abadi, Mohamed Hedi Bedoui:
New Hardware Architecture for Self-Organizing Map Used for Color Vector Quantization. J. Circuits Syst. Comput. 29(1): 2050002:1-2050002:35 (2020)
2010 – 2019
- 2019
- [j4]Khaled Ben Khalifa
, Ahmed Ghazi Blaiech
, Mohamed Hédi Bedoui
:
A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network. Comput. Intell. Neurosci. 2019: 8212867:1-8212867:14 (2019) - [j3]Ahmed Ghazi Blaiech
, Khaled Ben Khalifa
, Carlos Valderrama, Marcelo A. C. Fernandes
, Mohamed Hedi Bedoui:
A Survey and Taxonomy of FPGA-based Deep Learning Accelerators. J. Syst. Archit. 98: 331-345 (2019) - [c2]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. IbPRIA (2) 2019: 260-272 - 2018
- [j2]Ahmed Ghazi Blaiech
, Khaled Ben Khalifa
, Mohamed Boubaker, Mohamed Hedi Bedoui
:
LVQ neural network optimized implementation on FPGA devices with multiple-wordlength operations for real-time systems. Neural Comput. Appl. 29(2): 509-528 (2018) - 2014
- [j1]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. Int. J. Embed. Real Time Commun. Syst. 5(1): 37-60 (2014) - 2010
- [c1]Ahmed Ghazi Blaiech
, Khaled Ben Khalifa
, Mohamed Boubaker
, Mohamed Bedoui Hedi
:
Hedi: Multi-width fixed-point coding based on reprogrammable hardware implementation of a multi-layer perceptron neural network for alertness classification. ISDA 2010: 610-614
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last updated on 2025-03-27 23:34 CET by the dblp team
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