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Mohamed Bedoui Hedi
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2020 – today
- 2024
- [j46]Najeh Nafti, Olfa Besbes, Asma Ben Abdallah, Antoine Vacavant, Mohamed Hedi Bedoui:
A fast residual attention network for fine-grained unsupervised anomaly detection and localization. Appl. Soft Comput. 165: 112066 (2024) - [j45]Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, Mohamed Hedi Bedoui, Carlos Valderrama:
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes. Sensors 24(13): 4256 (2024) - [j44]Manef Ben Mbarek, Ines Assali, Salah Hamdi, Asma Ben Abdallah, Olivier David, Mouna Aissi, Marcel Carrère, Mohamed Hedi Bedoui:
Automatic and manual prediction of epileptic seizures based on ECG. Signal Image Video Process. 18(5): 4175-4190 (2024) - [c62]Ahmed Balaazi, Najeh Nafti, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Detection and Localization of Covid-19 on Chest Radiographs by Deep Learning Algorithms. ICCCI (CCIS Volume 1) 2024: 106-118 - [c61]Nada Haj Messaoud, Rim Ayari, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Automated Brain Lobe Segmentation and Feature Extraction from Multiple Sclerosis Lesions Using Deep Learning. VISIGRAPP (3): VISAPP 2024: 532-540 - [c60]Ouissal Kriker, Asma Ben Abdallah, Nidhal Bouchehda, Mohamed Hedi Bedoui:
Advancing Cardiovascular Imaging: Deep Learning-Based Analysis of Blood Flow Displacement Vectors in Ultrasound Video Sequences. WorldCIST (1) 2024: 115-125 - [c59]Aymen Chaouch, Nada Haj Messaoud, Asma Ben Abdallah, Jamal Saad, Laurent Payen, Badii Hmida, Mohamed Hedi Bedoui:
Deep Learning Brain MRI Segmentation and 3D Reconstruction: Evaluation of Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy. WorldCIST (2) 2024: 243-253 - 2023
- [j43]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) - [j42]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) - [j41]Nada Haj Messaoud, Asma Mansour, Mouna Aissi, Rim Ayari, Mahbouba Frih, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Automated segmentation of multiple sclerosis lesions based on convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1359-1377 (2023) - [j40]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui:
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation. Comput. Medical Imaging Graph. 104: 102168 (2023) - [j39]Houssem Eddin Elbsir, Mohamed Kassab, Sami Bhiri, Mohamed Hedi Bedoui:
Evaluation of LoRaWAN class B performances and its optimization for better support of actuators. Comput. Commun. 198: 128-139 (2023) - [j38]Ines Assali, Ibtihel Nouira, Afef Abidi, Mohamed Hédi Bedoui:
Intelligent ECG Signal Filtering Method Based on SVM Algorithm. Circuits Syst. Signal Process. 42(3): 1773-1791 (2023) - [j37]Marwa Gam, Mohamed Boubaker, Khaled Ben Khalifa, Mohamed Hedi Bedoui:
A Parallel Reconfigurable Architecture for Scalable LVQ Neural Networks. Neural Process. Lett. 55(3): 2521-2550 (2023) - [c58]Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels. CoDIT 2023: 2451-2456 - [c57]Manel Mili, Asma Ben Abdallah, Jose Javier Otero, Asma Kerkeni, Mohamed Hedi Bedoui:
Revolutionizing Brain Cancer Diagnosis: Automated Prediction of MGMT Methylation Status using Histological Images. CW 2023: 149-156 - [c56]Najeh Nafti, Olfa Besbes, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Hyperparameters Optimization of Deep Learning Models for Unsupervised Lung Cancer Detection. CW 2023: 260-263 - [c55]Aymen Zayed, Khaled Ben Khalifa, Nidhameddine Belhadj, Mohamed Hedi Bedoui, Carlos Alberto Valderrama Sakuyama:
Discrete Wavelet Transform Coefficients for Drowsiness Detection from EEG Signals. DTTIS 2023: 1-6 - [c54]Ibtihel Nouira, Omelkhir Boughzala, Ahmed Selmi, Mohamed Hédi Bedoui:
Brain Tumor Detection Using Convolutional Neural Network. ICSC 2023: 282-287 - [c53]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 - [c52]Abderrahman Ben Abdeljelil, Mohamed Hédi Bedoui, Khalil Ben-Mansour:
Fusion-Based Approach to Enhance Markerless Motion Capture Accuracy for On-Site Analysis. PSIVT 2023: 436-450 - [i3]Manel Mili, Asma Kerkeni, Asma Ben Abdallah, Mohamed Hedi Bedoui:
ICU Mortality Prediction Using Long Short-Term Memory Networks. CoRR abs/2308.12800 (2023) - 2022
- [j36]Afef Abidi, Ibtihel Nouira, Ines Assali, Mohamed Ali Saafi, Mohamed Hedi Bedoui:
Hybrid Multi-Channel EEG Filtering Method for Ocular and Muscular Artifact Removal Based on the 3D Spline Interpolation Technique. Comput. J. 65(5): 1257-1271 (2022) - [j35]Sofien Bensayadia, Yaroub Elloumi, Rostom Kachouri, Mohamed Akil, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Automated method for real-time AMD screening of fundus images dedicated for mobile devices. Medical Biol. Eng. Comput. 60(5): 1449-1479 (2022) - [j34]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) - [j33]Afef Abidi, Khaled Ben Khalifa, Ridha Ben Cheikh, Carlos Valderrama Sakuyama, Mohamed Hedi Bedoui:
Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches. Neural Process. Lett. 54(6): 5225-5249 (2022) - [j32]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Mezri Maatouk, Rachida Saouli, Mohamed Hédi Bedoui:
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset. SN Comput. Sci. 3(4): 287 (2022) - [c51]Aymen Chaouch, Asma Ben Abdallah, Rim Ayari, Mohamed Bedoui Hedi, Mouna Aissi:
DL segmentation and 3D assessment of hippocampal atrophy in mesial temporal lobe epilepsy. ATSIP 2022: 1-6 - [c50]Hanêne Ben-Abdallah, Asma Ben Abdallah, Asma Achour, Mabrouk AbdelAli, Asma Migaou, Mohamed Hédi Bedoui:
Automatic evaluation of 3D volume infection rates: Application to the Covid-19 context. ATSIP 2022: 1-5 - [c49]Rahma Boukadida, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Automated Diagnosis of Retinal Neovascularization Pathologies from Color Retinal Fundus Images. CGI 2022: 451-462 - [c48]E. Chakour, Y. Mrad, Anass Mansouri, Yaroub Elloumi, Mohamed Hedi Bedoui, I. B. Andaloussi, Ali Ahaitouf:
Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology. CoDIT 2022: 1473-1478 - [c47]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 - [c46]Sana Slama, Ramzi Mahmoudi, Badii Hmida, Mézri Maatouk, Mohamed Hedi Bedoui:
Right Ventricle Segmentation in Cardiac MR Images Using Convolutional Neural Network Architecture. ICCCI (CCIS Volume) 2022: 352-359 - [c45]Najeh Nafti, Olfa Besbes, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Fast Unsupervised Residual Attention GAN for COVID-19 Detection. ICCCI (CCIS Volume) 2022: 360-372 - [c44]Rania Mabrouk, Ramzi Mahmoudi, Asma Ammari, Rachida Saouli, Mohamed Hedi Bedoui:
Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models. ICCCI (CCIS Volume) 2022: 385-395 - [c43]Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hédi Bedoui:
Extended U-net for Retinal Vessel Segmentation. ICCCI (CCIS Volume) 2022: 564-576 - [c42]Yaroub Elloumi, Nesrine Abroug, Mohamed Hedi Bedoui:
End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network. IDA 2022: 66-77 - [c41]Manel Mili, Asma Kerkeni, Asma Ben Abdallah, Mohamed Hedi Bedoui:
ICU Mortality Prediction Using Long Short-Term Memory Networks. IDEAL 2022: 242-251 - [c40]Rawaa Hamdi, Asma Kerkeni, Mohamed Hedi Bedoui, Asma Ben Abdallah:
Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation. IDEAL 2022: 391-398 - [c39]Nada Haj Messaoud, Asma Mansour, Rim Ayari, Asma Ben Abdallah, Mouna Aissi, Mahbouba Frih, Mohamed Hedi Bedoui:
Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation. IDEAL 2022: 540-548 - [c38]Houssem Eddin Elbsir, Mohamed Kassab, Sami Bhiri, Mohamed Hedi Bedoui, David Castells-Rufas, Jordi Carrabina:
LoRaWAN Optimization using optimized Auto-Regressive algorithm, Support Vector Machine and Temporal Fusion Transformer for QoS ensuring. WiMob 2022: 302-307 - [c37]Ramzi Mahmoudi, Sana Slama, Narjes Benameur, Khouloud Boukhris, Badii Hmida, Mohamed Hedi Bedoui:
Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools. WorldCIST (1) 2022: 663-673 - 2021
- [j31]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) - [j30]Ramzi Mahmoudi, Narjes Benameur, Badii Hmida, Mohamed Hedi Bedoui:
Mitral Valve Leaflets segmentation approaches based upon Frangi filter and ISODATA clustering. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 678-689 (2021) - [j29]Henda Boudegga, Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui, Rostom Kachouri, Asma Ben Abdallah:
Fast and efficient retinal blood vessel segmentation method based on deep learning network. Comput. Medical Imaging Graph. 90: 101902 (2021) - [j28]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hédi Bedoui:
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI. IET Image Process. 15(9): 1845-1868 (2021) - [j27]Rahma Boukadida, Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui:
Mobile-aided screening system for proliferative diabetic retinopathy. Int. J. Imaging Syst. Technol. 31(3): 1638-1654 (2021) - [j26]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) - [c36]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui:
Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences. AICCSA 2021: 1-6 - [c35]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 - [c34]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 - [c33]Khouloud Boukhris, Ramzi Mahmoudi, Asma Ben Abdallah, Mabrouk AbdelAli, Badii Hmida, Mohamed Hédi Bedoui:
U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images. CAIP (1) 2021: 145-153 - [c32]Rawaa Hamdi, Asma Kerkeni, Mohamed Hédi Bedoui, Asma Ben Abdallah:
CAS-Net: A Novel Coronary Artery Segmentation Neural Network. ESANN 2021 - 2020
- [j25]Arij Debbich, Asma Ben Abdallah, Mezri Maatouk, Badii Hmida, Monica Sigovan, Patrick Clarysse, Mohamed Hédi Bedoui:
A Spatiotemporal exploration and 3D modeling of blood flow in healthy carotid artery bifurcation from two modalities: Ultrasound-Doppler and phase contrast MRI. Comput. Biol. Medicine 118: 103644 (2020) - [j24]Ramzi Mahmoudi, Narjes Ben Ameur, Asma Ammari, Mohamed Akil, Rachida Saouli, Badii Hmida, Mohamed Hedi Bedoui:
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation. IET Image Process. 14(3): 506-517 (2020) - [j23]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) - [j22]Sofien Bensayadia, Yaroub Elloumi, Mohamed Akil, Mohamed Hédi Bedoui:
Efficient graphical-processor-unit parallelization algorithm for computing Eigen values. J. Electronic Imaging 29(6): 063008 (2020) - [j21]Yosra Braham, Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui:
Parallel computation of Watershed Transform in weighted graphs on shared memory machines. J. Real Time Image Process. 17(3): 527-542 (2020) - [c31]Slavisa Jovanovic, Hassan Rabah, Serge Weber, Khaled Ben Khalifa, Mohamed Hédi Bedoui:
Scalable, dynamic and growing hardware self-organizing architecture for real-time vector quantization. ICECS 2020: 1-4 - [c30]Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui:
Fast and accurate mobile-aided screening system of moderate diabetic retinopathy. ICMV 2020: 116050U - [c29]Houssem Eddin Elbsir, Mohamed Kassab, Sami Bhiri, Mohamed Hedi Bedoui:
Evaluation of LoRaWAN Class B efficiency for downlink traffic. WiMob 2020: 105-110
2010 – 2019
- 2019
- [j20]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) - [j19]Khaled Ben Khalifa, Mohamed Hédi Bedoui:
A Massively Parallel Implementation of a Modular Self-Organizing Map on FPGAs. J. Circuits Syst. Comput. 28(3): 1950054:1-1950054:31 (2019) - [j18]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) - [c28]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 - [c27]Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hédi Bedoui:
A Multi-Application, Scalable and Adaptable Hardware SOM Architecture. IJCNN 2019: 1-8 - [c26]Salah Hamdi, Najeh Chaabane, Mohamed Hedi Bedoui:
Intra and Inter Relationships between Biomedical Signals: A VAR Model Analysis. IV (1) 2019: 411-416 - 2018
- [j17]Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui:
A robust QRS complex detection using regular grammar and deterministic automata. Biomed. Signal Process. Control. 40: 263-274 (2018) - [j16]Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hédi Bedoui:
A scalable and adaptable hardware NoC-based self organizing map. Microprocess. Microsystems 57: 1-14 (2018) - [j15]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) - [c25]Afef Abidi, Ibtihel Nouira, Mohamed Hedi Bedoui:
Parallel Implementation on GPU for EEG Artifact Rejection by Combining FastICA and TQWT. AICCSA 2018: 1-8 - [c24]Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Novel Parameters for ECG Signal Analysis Irrespective of Patient's Age, Sex and Heart Rate. BIBE 2018: 255-258 - [c23]Khaled Ben Khalifa, Mohamed Hedi Bedoui:
A Systolic Hardware Architecture of Self-Organizing Map. IPAS 2018: 298-302 - 2017
- [j14]Najoua Chalbi, Mohamed Boubaker, Mohamed Hedi Bedoui:
Implementation of a low-power LVQ architecture on FPGA. IET Circuits Devices Syst. 11(6): 597-604 (2017) - [j13]Mohamed Akil, Mohamed Hédi Bedoui:
Special issue on real-time processing of medical images. J. Real Time Image Process. 13(1): 101-102 (2017) - [j12]Ramzi Mahmoudi, Mohamed Akil, Mohamed Hédi Bedoui:
Concurrent computation of topological watershed on shared memory parallel machines. Parallel Comput. 69: 78-97 (2017) - [c22]Marwa Gam, Mohamed Boubaker, Najoua Chalbi, Mohamed Hedi Bedoui:
Parallelism Hardware Computation for Artificial Neural Network. AICCSA 2017: 1049-1055 - 2016
- [j11]Asma Kerkeni, Asma Ben Abdallah, Antoine Manzanera, Mohamed Hedi Bedoui:
A coronary artery segmentation method based on multiscale analysis and region growing. Comput. Medical Imaging Graph. 48: 49-61 (2016) - [j10]Ibtihel Nouira, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Three-dimensional interpolation methods to spatiotemporal EEG mapping during various behavioral states. Signal Image Video Process. 10(5): 943-949 (2016) - [c21]Ibtihel Nouira, Asma Ben Abdallah, Mohamed Hédi Bedoui, Mohamed Dogui:
Localisation of Epileptic Cerebral Activity Generators by 3D Spline Interpolation. BIOSIGNALS 2016: 340-345 - [c20]Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hedi Bedoui:
A hardware configurable self-organizing map for real-time color quantization. ICECS 2016: 336-339 - [c19]Yosra Braham, Mohamed Akil, Mohamed Hédi Bedoui:
Parallel implementation of a watershed algorithm on shared memory multicore architecture. ICMV 2016: 1034119 - [c18]Chaima Oueslati, Sabra Mabrouk, Faouzi Ghorbel, Mohamed Hedi Bedoui:
A Coronary Artery Segmentation Method Based on Graph Cuts and MultiScale Analysis. RFMI 2016: 141-151 - [c17]Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hédi Bedoui:
A Scalable Flexible SOM NoC-Based Hardware Architecture. WSOM 2016: 165-175 - 2015
- [j9]Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui:
Execution time optimisation using delayed multidimensional retiming. Int. J. High Perform. Syst. Archit. 5(3): 178-191 (2015) - [j8]Ibtihel Nouira, Asma Ben Abdallah, Siham Layouni, Mohamed Hedi Bedoui, Mohamed Dogui:
Spectral density variation mapping of cerebral waves by three-dimensional interpolation techniques. Int. J. Imaging Syst. Technol. 25(3): 191-198 (2015) - [c16]Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui:
WCET nested-loop minimization in terms of instruction-level-parallelism. HPCS 2015: 386-393 - [c15]Ines Slim Sahli, Hanen Akkari Bettaieb, Asma Ben Abdallah, Imen Bhouri, Mohamed Hedi Bedoui:
Detection and segmentation of microcalcifications in digital mammograms using multifractal analysis. IPTA 2015: 180-184 - [c14]Rim Ayari, Asma Ben Abdallah, Faouzi Ghorbel, Mohamed Hedi Bedoui:
Local deformation analysis of the heart left ventricle using SPHARM descriptors and modified hotelling T2 metric. TSP 2015: 1-4 - 2014
- [j7]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) - [j6]Rim Ayari, Asma Ben Abdallah, Mohamed Hedi Bedoui, Faouzi Ghorbel:
Regional Curvature Analysis in the Left Ventricle of the Heart using Hotelling T2 Metric. J. Comput. 9(7): 1572-1576 (2014) - [c13]Rim Ayari, Asma Ben Abdallah, Mohamed Hedi Bedoui, Faouzi Ghorbel:
Local deformation analysis in the heart left ventricle using the regional volume evolution. ICMCS 2014: 48-51 - [c12]Ibtihel Nouira, Asma Ben Abdallah, Mohamed Hedi Bedoui:
EEG potential mapping by 3D interpolation methods. ICMCS 2014: 469-474 - [c11]Rafika Thabet, Ramzi Mahmoudi, Mohamed Hedi Bedoui:
Image processing on mobile devices: An overview. IPAS 2014: 1-8 - [c10]Kamel Ben Salem, Lilia Rejeb, Mohamed Hedi Bedoui:
Architecture multi-agents pyramidale et adaptative pour la segmentation des images volumiques (présentation courte). JFSMA 2014: 171-180 - [c9]Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Scintigraphic image segmentation based on grammatical inference and spiral matrix. SoCPaR 2014: 186-190 - 2013
- [c8]Yaroub Elloumi, Mohamed Akil, Mohamed Bedoui Hedi:
Execution Time and Code Size Optimization Using Multidimensional Retiming and Loop Striping. DSD 2013: 462-466 - [c7]Salah Hamdi, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Novel Technique for Image Segmentation Based on Grammar Parsing and Hilbert Transform. ICIAR 2013: 346-353 - [c6]Asma Kerkeni, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Coronary Artery MultiScale Enhancement Methods: A Comparative Study. ICIAR 2013: 510-520 - 2012
- [j5]Najoua Chalbi, Mohamed Boubaker, Mohamed Bedoui Hedi:
Power estimation model based on grouping components in field-programmable gate array circuit. IET Circuits Devices Syst. 6(6): 437-446 (2012) - [c5]Yaroub Elloumi, Mohamed Akil, Mohamed Bedoui Hedi:
Execution Time Optimization Using Delayed Multidimensional Retiming. DS-RT 2012: 177-184 - [c4]Najoua Chalbi, Mohamed Boubaker, Mohamed Bedoui Hedi:
Analytical dynamic power model for LUT based components. DTIS 2012: 1-6 - [i2]Yaroub Elloumi, Mohamed Akil, Mohamed Bedoui Hedi:
Timing and Code Size Optimization on Achieving Full Parallelism in Uniform Nested Loops. CoRR abs/1205.4672 (2012) - 2011
- [j4]Renaud Lopes, P. Dubois, Imen Bhouri, Mohamed Hedi Bedoui, Salah Maouche, Nacim Betrouni:
Local fractal and multifractal features for volumic texture characterization. Pattern Recognit. 44(8): 1690-1697 (2011) - 2010
- [j3]Najoua Chalbi, Khaled Ben Khalifa, Mohamed Boubaker, Mohamed Bedoui Hedi:
Implementation of a novel LVQ neural network architecture on FPGA. Int. J. Artif. Intell. Soft Comput. 2(3): 163-173 (2010) - [j2]Mohamed Boubaker, Mohamed Akil, Khaled Ben Khalifa, Thierry Grandpierre, Mohamed Bedoui Hedi:
Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices. Neural Comput. Appl. 19(2): 283-297 (2010) - [j1]Asma Ben Abdallah, Faouzi Ghorbel, K. Chatti, H. Essabbah, Mohamed Hedi Bedoui:
A new uniform parameterization and invariant 3D spherical harmonic shape descriptors for shape analysis of the heart's left ventricle - A pilot study. Pattern Recognit. Lett. 31(13): 1981-1990 (2010) - [c3]Yaroub Elloumi, Mohamed Akil, Thierry Grandpierre, Mohamed Bedoui Hedi:
Latency and power optimization in AAA methodology for integrated circuits. ICECS 2010: 639-642 - [c2]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
2000 – 2009
- 2006
- [c1]Frédéric Alexandre, Nizar Kerkeni, Khaled Ben Khalifa, Mohamed Bedoui Hedi, Laurent Bougrain, Mohamed Dogui:
Supervised neuronal approaches for EEG signal classification: Experimental studies. Artificial Intelligence and Soft Computing 2006: 114-119 - 2005
- [i1]Nizar Kerkeni, Frédéric Alexandre, Mohamed Bedoui Hedi, Laurent Bougrain, Mohamed Dogui:
Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages. CoRR abs/cs/0510083 (2005)
Coauthor Index
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OpenAlex data
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last updated on 2024-10-16 21:23 CEST by the dblp team
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