Home › Researcher directory › Fathi Kallel
Fathi Kallel
Affiliation : University of Sfax · National School of Electronics and Telecommunications of Sfax, Tunisia
- 52Publications (affiliation in Tunisia)
- 62Total publications
- 445Citations
- 11h-index
Research profile
Fathi Kallel has 52 indexed publications (2009–2026). Their work appears mainly in “International Conference on Advanced Technologies for Signal and Image Processing”, “Signal Image and Video Processing” and “Applied Acoustics”. Their most cited article, “A New Adaptive Gamma Correction Based Algorithm Using DWT-SVD for Non-Contrast CT Image Enhancement” (2017), has been cited 91 times. 25 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in France, Russia.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- 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
Publication venues
- 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 per year
- 20267
- 202510
- 20248
- 20232
- 20228
- 20203
- 20192
- 20185
- 20171
- 20161
Collaborations
Partner institutions : Hopital Universitaire Habib Bourguiba · Inserm · University of Gabès · University of Gafsa · Lyon 1 Université
Co-authors’ countries : France · Russia
Co-authors
- 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
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.