Accueil › Annuaire des chercheurs › Basel Solaiman
Basel Solaiman
Affiliation : IMT Atlantique
- 126Publications (affiliation française)
- 498Publications au total
- 2586Citations
- 23Indice h
Profil de recherche
Basel Solaiman compte 126 publications référencées (2014–2025). Ses travaux paraissent principalement dans « International Conference on Advanced Technologies for Signal and Image Processing », « Multimedia Tools and Applications » et « IEEE International Conference on Image Processing, Applications and Systems (IPAS) ». Son article le plus cité, « Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection » (2019), a été cité 133 fois. 11 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de Tunisie, Canada, Algérie.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Remote-Sensing Image Classification
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Data Compression Techniques
- Remote Sensing and Land Use
Publications (126)
- An empirical survey-type analysis of uncertainty measures for the fusion of crisp and fuzzy bodies of evidence
- Possibilistic Distance Measure of Heterogeneous Data
- An interpretable approach based on possibilistic hypothetical case-based reasoning for fault diagnosis
- Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influence
- Sparse representation of finger knuckle print images for personal identification
- Comparative Analysis of Non-Stationary Signal Processing Approaches for Epileptic Disease Detection
- A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRI
- Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems
- A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture
- Automatic Left Ventricle Segmentation from Short-Axis MRI Images Using U-Net with Study of the Papillary Muscles’ Removal Effect
- An Innovative Possibilistic Fingerprint Quality Assessment (PFQA) Filter to Improve the Recognition Rate of a Level-2 AFIS
- Stroke Treatment Prediction Using Features Selection Methods and Machine Learning Classifiers
- Optic disc detection and segmentation using saliency mask in retinal fundus images
- Structured Case Base Knowledge using Unsupervised Learning
- Model Based Anomaly Detection in High Dimensional DATA
- Spatio-temporal monitoring of soil salinity and land cover changes using remote sensing techniques: Zaghouan case study (Tunisia)
- A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation
- Feature selection based on discriminative power under uncertainty for computer vision applications
- Automatic delineation of left ventricle contours in MRI using deep learning
- A novel pre-processing approach based on colour space assessment for digestive neuroendocrine tumour grading in immunohistochemical tissue images
- Multiple Sclerosis Disease Diagnosis and Prognosis in 3D FLAIR MRI using Deep Learning Network
- Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation
- A new conditional region growing approach for microcalcification delineation in mammograms
- Automatic three‐dimensional detection and volume estimation of low‐grade gliomas
- Indoor Scene Simplification for Safe Navigation Using Saliency Map for the Benefit of Visually Impaired People
- Automatic Regional Estimation of Myocardial Strain Using Deep Learning
- Possibilistic Similarity Measures for Data Science and Machine Learning Applications
- Automatic detection of microcalcification based on morphological operations and structural similarity indices
- Neural Network-based System for Automatic Passport Stamp Classification
- Multiatlas‐based segmentation of female pelvic organs: Application for computer‐aided diagnosis of cervical cancer
- Multimodal Medical Image Registration Based on a Hybrid Optimization Strategy
- Soil salinity prediction using a machine learning approach through hyperspectral satellite image
- Case-Based Reasoning: Problems And Importance Of Similarity Measure
- Multi-atlas based segmentation of human cerebellum
- Logo Detection Based on FCM Clustering Algorithm and Texture Features
- Quantification of left ventricular function in MRI: a review of current approaches
- Comparative study of feature detector and descriptor methods for registration
- Big Data Processing for Intrusion Detection System Context: A Review
- Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices
- Nuclei Segmentation Approach for Digestive Neuroendocrine Tumors Analysis Using optimized Color Space Conversion
- Possibilistic registration based on unsupervised classification (BMPRUC)
- Binary hierarchical multiclass classifier for uncertain numerical features
- A new features vector matching for big heterogeneous data in intrusion detection context
- Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection
- A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery
- An intelligent quality-based approach to fusing multi-source possibilistic information
- Multi-temporal image change mining based on evidential conflict reasoning
- Hyperspectral Analysis for a Robust Assessment of Soil Properties Using Adapted PLSR Method
- Learning contextual superpixel similarity for consistent image segmentation
- Guest Editorial: Advances in Computational Intelligence for Multimodal Biomedical Imaging
- Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques
- Mammographic mass segmentation using fuzzy contours
- An iterative possibilistic knowledge diffusion approach for blind medical image segmentation
- Semi-automatic Method for Low-Grade Gliomas Segmentation in Magnetic Resonance Imaging
- Semantic Remote Sensing Scenes Interpretation and Change Interpretation
- Microcalcifications detection from mammographic images based on region growing and variational energy convergence
- Towards change detection in bi-temporal images using evidential conflict
- Two‐step evidential fusion approach for accurate breast region segmentation in mammograms
- Segmentation of low-grade gliomas based on the growing region and level sets techniques
- Implementation and comparison of binary thinning algorithms on GPU
- Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images
- The use of contextual spatial knowledge for low-quality image segmentation
- Ontology knowledge mining for ontology conceptual enrichment
- Automatic mass function estimation based Fuzzy-C-Means algorithm for remote sensing images change detection
- Breast mass segmentation in mammograms combining fuzzy c-means and active contours
- New method of registration based on the theory of possibility
- A modified ZS thinning algorithm by a hybrid approach
- Adaptive strategy for superpixel-based region-growing image segmentation
- A new efficient fuzzy cluster validity index: Application to images clustering
- Ontology Based Possibilistic Reasoning for Breast Cancer Aided Diagnosis
- Mammographic mass classification based on possibility theory
- An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images
- Bimodal biometric system for hand shape and palmprint recognition based on SIFT sparse representation
- Towards a novel biometric system for smart riding club
- Ontology Knowledge Mining Based Association Rules Ranking
- Image fusion models and techniques at pixel level
- Fusion of spatial autocorrelation and spectral data for remote sensing image classification
- Ontology Knowledge Mining for Ontology Alignment
- Image segmentation by contextual region growing based on fuzzy classification
- A Combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation
- Fuzzy Clustering based Approach for Ontology Alignment
- Segmentation of low-grade gliomas in MRI: Phase based method
- Blind Watermarking Method Based on the Ant Colony
- Feature selection in possibilistic modeling
- Novel biometric features fusion method based on possibility theory
- Hand verification system based on multi-features fusion
- A new definition of fuzzy contours in mammographic images
- Face recognition based on geometric features using Support Vector Machines
- MLP Neural Network for face recognition based on Gabor Features and Dimensionality Reduction techniques
- Bimodal biometric system based on SIFT descriptors of hand images
- Novel hand biometric system using invariant descriptors
- A critical analysis of lifecycles and methods for ontology construction and evaluation
- Microcalcifications detection in mammograms based on Ant Colony Optimization and Markov Random Field
- A new ontology for semantic annotation of remotely sensed images
- Ontological approach to mammographic knowledge representation
- A Semi-automatic Mapping Selection in the Ontology Alignment Process
- Possibilistic modeling of ultrasonic signal for floor state recognition
- An evidence based approach for multipe similarity measures combining for ontology mapping
- Towards a new ontology matching approach based on multi-criteria analysis methods
- Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods
Revues de publication
- International Conference on Advanced Technologies for Signal and Image Processing × 25
- Multimedia Tools and Applications × 5
- IEEE International Conference on Image Processing, Applications and Systems (IPAS) × 4
- International Conference on Machine Vision × 3
- International Conference of Soft Computing and Pattern Recognition (SoCPaR) × 3
- Information Fusion × 2
Publications par année
- 20252
- 20244
- 20235
- 202210
- 20215
- 202017
- 20197
- 201816
- 20176
- 201611
Collaborations
Établissements partenaires : Télécom Bretagne · University of Sfax · National School of Computer Science · Manouba University · Tunis El Manar University
Pays des co-auteurs : Tunisie · Canada · Algérie
Co-auteurs
- Hanène Trichili
- Imed Riadh Farah
- Imène Khanfir Kallel
- Karim Saheb Ettabaâ
- Pierre-Henri Conze
- Éloi Bossé
- Marwa Hmida
- Rihab Idoudi
- Hanêne Guesmi
- Sonda Ammar Bouhamed
- Frédéric Maussang
- Ikram Chourib
Données bibliographiques issues d’OpenAlex (base ouverte).
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