Accueil › Annuaire des chercheurs › Fathi Kallel
Fathi Kallel
Affiliation : University of Sfax · National School of Electronics and Telecommunications of Sfax, Tunisia
- 52Publications (affiliation tunisienne)
- 62Publications au total
- 445Citations
- 11Indice h
Profil de recherche
Fathi Kallel compte 52 publications référencées (2009–2026). Ses travaux paraissent principalement dans « International Conference on Advanced Technologies for Signal and Image Processing », « Signal Image and Video Processing » et « Applied Acoustics ». Son article le plus cité, « A New Adaptive Gamma Correction Based Algorithm Using DWT-SVD for Non-Contrast CT Image Enhancement » (2017), a été cité 91 fois. 25 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France, Russie.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Cutaneous Melanoma Detection and Management
- AI in cancer detection
Publications (52)
- Explainable transfer learning for skin cancer diagnosis
- Spinal nerves as landmarks for spinal cord segment delineation: cervical cross-sectional area measurement in healthy subjects
- Super-resolution reconstruction of spinal cord MRI using deep learning: Application to multiple sclerosis atrophy measurement
- Exploring Implicit Neural Representations in Image Deconvolution with Non-Sparse Kernels
- Hybrid deep learning models for diabetic retinopathy stage classification using fundus images
- A lightweight method for regression-based normalization of the cross-sectional area for cervical spinal cord atrophy assessment
- A Multi-head Attention Transformer with Convolutional Projections for Skin Cancer Image Classification
- Exploring Pre-Trained Models for Skin Cancer Classification
- Explainable deep learning approaches for skin cancer diagnosis
- Modified Multi-Head Attention Transformer (MMHAT) for Skin Image Classification
- Explainable Pre-Trained Models for Skin Cancer Classification
- New Deep Learning Approaches for Binary Skin Cancer Classification
- Transformer and CNN-Based Deep Learning Models for Skin Lesion Segmentation
- Deep Learning Techniques for Automatic Seizure Detection in Epilepsy
- Dirichlet Process Mixture Model and Markov Random Field for PolSAR Image Segmentation
- Towards Fetal Health: Development of an Intelligent Monitoring System Based on ECG Analysis
- Detection of Epileptic Seizures Using Machine Learning Techniques
- Skin Cancer Detection Based on Transfer Learning Techniques
- Deep Learning-based Methods for MS Lesion Segmentation: A Review
- A Bayesian Nonparametric Model for Unsupervised Change Detection of Fully Polarimetric SAR Images
- Comparative analysis of deep learning algorithms for seizure detection
- A deep learning-based approach for Multiple Sclerosis Lesion Segmentation
- Potential of brain MRI in the diagnosis of Juvenile Myoclonic Epilepsy: An overview
- Spinal Cord Cross Sectional Area normalization in MR Images: Case of healthy population
- Unsupervised Classification of Polarimetric SAR Images Using Bayesian Nonparametric Model and Markov Random Field
- Retinal fundus image classification for diabetic retinopathy using transfer learning technique
- Design and Implementation of an IoT Drowsiness Detection System for Drivers
- Epileptic Seizures Detection on EEG Signal Using Deep Learning Techniques
- Skin Cancer Classification using Deep Learning Models
- MRI contrast enhancement using singular value decomposition and brightness preserving dynamic fuzzy histogram equalization applied to multiple sclerosis patients
- U-NET Architecture for automatic MS lesions segmentation using MR images
- Image Enhancement Techniques Applied to Magnetic Resonance Images: Multiple sclerosis
- Modified U-Net Architeture based Ischemic Stroke Lesions Segmentation
- New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection
- An accurate spinal cord partition and quantification method to monitor atrophy in multiple sclerosis
- Contrast-Enhanced Image Analysis for MRI Based Multiple Sclerosis Lesion Segmentation
- fMRI Imaging Based Human Brain Parcellation Methods: A review
- A Comparative Study of Fingerprint Enhancement Algorithms
- Spinal cord MRI contrast enhancement using adaptive gamma correction for patient with multiple sclerosis
- A Modified DWT-SVD Algorithm for T1-w Brain MR Images Contrast Enhancement
- The Influence of Preprocessing Steps on Graph Theory Measures Derived from Resting State fMRI
- A comparative study of MRI contrast enhancement techniques based on Traditional Gamma Correction and Adaptive Gamma Correction: Case of multiple sclerosis pathology
- CT scan contrast enhancement using singular value decomposition and adaptive gamma correction
- Contrast enhancement and feature extraction algorithms of finger knucle print image for personal recognition
- Finger-knuckle-print image enhancement based on brightness preserving dynamic fuzzy histogram equalization and filtering process
- A New Adaptive Gamma Correction Based Algorithm Using DWT-SVD for Non-Contrast CT Image Enhancement
- A comparative study of motion estimation algorithms in cardiac ultrasound sequences
- Influence of a shift in frequency distribution and analysis rate on phoneme intelligibility in noisy environments for simulated bilateral cochlear implants
- Dual-channel spectral subtraction algorithms based speech enhancement dedicated to a bilateral cochlear implant
- A noise cross PSD estimator based on improved minimum statistics method for two-microphone speech enhancement dedicated to a bilateral cochlear implant
- LC Voltage Controlled Oscillators design using MHS SCMOS3 0.5µm process
- Spatial filtering based speech enhancement for binaural hearing aid
Revues de publication
- International Conference on Advanced Technologies for Signal and Image Processing × 13
- Signal Image and Video Processing × 5
- Applied Acoustics × 3
- Network Modeling Analysis in Health Informatics and Bioinformatics × 2
- IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) × 2
- International Multi-Conference on Systems, Signals & Devices (SSD) × 2
Publications par année
- 20267
- 202510
- 20248
- 20232
- 20228
- 20203
- 20192
- 20185
- 20171
- 20161
Collaborations
Établissements partenaires : Hopital Universitaire Habib Bourguiba · Inserm · University of Gabès · University of Gafsa · Lyon 1 Université
Pays des co-auteurs : France · Russie
Co-auteurs
- Ahmed Ben Hamida
- Amira Echtioui
- Mouna Sahnoun
- Chokri Mhiri
- Mariem Dammak
- Abdelkader Alrabai
- Mariem Damak
- Kheireddine Ben Mahfoudh
- Salma Sakka
- Tayssir Boushila
- Mohamed Ghorbel
- Marwa Kahia
Données bibliographiques issues d’OpenAlex (base ouverte).
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