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Possibility Theory for the Design of Information Fusion Systems

1st ed. 2019., 2019

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An Innovative Possibilistic Fingerprint Quality Assessment (PFQA) Filter to Improve the Recognition Rate of a Level-2 AFIS

Entropy (Basel, Switzerland), 2023-03, Vol.25 (3), p.529

2023

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Automatic Left Ventricle Segmentation from Short-Axis MRI Images Using U-Net with Study of the Papillary Muscles’ Removal Effect

Journal of medical and biological engineering, 2023-06, Vol.43 (3), p.278-290

2023

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A new conditional region growing approach for microcalcification delineation in mammograms

Medical & biological engineering & computing, 2021-09, Vol.59 (9), p.1795-1814

2021

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A New Hybrid Possibilistic-Probabilistic Decision-Making Scheme for Classification

Entropy (Basel, Switzerland), 2021-01, Vol.23 (1), p.67

2021

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A novel pre-processing approach based on colour space assessment for digestive neuroendocrine tumour grading in immunohistochemical tissue images

Polish journal of pathology, 2022-01, Vol.73 (2), p.134-158

2022

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Feature selection based on discriminative power under uncertainty for computer vision applications

Electronic letters on computer vision and image analysis, 2022-06, Vol.21 (1), p.111-120

2022

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Learning contextual superpixel similarity for consistent image segmentation

Multimedia tools and applications, 2020-01, Vol.79 (3-4), p.2601-2627

2020

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A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery

IEEE transactions on geoscience and remote sensing, 2019-11, Vol.57 (11), p.8775-8795

2019

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Possibilistic Similarity Measures for Data Science and Machine Learning Applications

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Ontology Knowledge Mining for Ontology Alignment

International journal of computational intelligence systems, 2016-09, Vol.9 (5), p.876-887

2016

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Sparse representation of finger knuckle print images for personal identification

Concurrency and computation, 2024-09

2024

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Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influence

Medical engineering & physics, 2024-05, Vol.127, p.104162, Article 104162

2024

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Optic disc detection and segmentation using saliency mask in retinal fundus images

Computers in biology and medicine, 2022-11, Vol.150, p.106067-106067, Article 106067

2022

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A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRI

Procedia computer science, 2023, Vol.219, p.1089-1096

2023

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Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems

Expert systems with applications, 2023-08, Vol.224, p.119926, Article 119926

2023

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An intelligent quality-based approach to fusing multi-source possibilistic information

Information fusion, 2020-03, Vol.55, p.68-90

2020

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Mammographic mass segmentation using fuzzy contours

Computer methods and programs in biomedicine, 2018-10, Vol.164, p.131-142

2018

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Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-04, Vol.11 (4), p.1337-1347

2018

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Watermarking medical images with patient identification to verify authenticity

International journal of medical engineering and informatics, 2018, Vol.10 (1), p.86

2018

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A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture

Multimedia tools and applications, 2024-04, Vol.83 (14), p.42837-42859

2024

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A modified ZS thinning algorithm by a hybrid approach

The Visual computer, 2018-05, Vol.34 (5), p.689-706

2018

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Watermarking medical images with patient identification to verify authenticity

International journal of medical engineering and informatics, 2018, Vol.10 (1), p.86

2018

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An iterative possibilistic knowledge diffusion approach for blind medical image segmentation

Pattern recognition, 2018-06, Vol.78, p.182-197

2018

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Fusion of information and analytics: a discussion on potential methods to cope with uncertainty in complex environments (big data and IoT)

International Journal of Digital Signals and Smart Systems, 2018, Vol.2 (4), p.279

2018

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Possibility Theory for the Design of Information Fusion Systems

An Innovative Possibilistic Fingerprint Quality Assessment (PFQA) Filter to Improve the Recognition Rate of a Level-2 AFIS

Automatic Left Ventricle Segmentation from Short-Axis MRI Images Using U-Net with Study of the Papillary Muscles’ Removal Effect

A new conditional region growing approach for microcalcification delineation in mammograms

A New Hybrid Possibilistic-Probabilistic Decision-Making Scheme for Classification

A novel pre-processing approach based on colour space assessment for digestive neuroendocrine tumour grading in immunohistochemical tissue images

Feature selection based on discriminative power under uncertainty for computer vision applications

Learning contextual superpixel similarity for consistent image segmentation

A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery

Possibilistic Similarity Measures for Data Science and Machine Learning Applications

Ontology Knowledge Mining for Ontology Alignment

Sparse representation of finger knuckle print images for personal identification

Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influence

Optic disc detection and segmentation using saliency mask in retinal fundus images

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

An intelligent quality-based approach to fusing multi-source possibilistic information

Mammographic mass segmentation using fuzzy contours

Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques

Watermarking medical images with patient identification to verify authenticity

A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture

A modified ZS thinning algorithm by a hybrid approach

Watermarking medical images with patient identification to verify authenticity

An iterative possibilistic knowledge diffusion approach for blind medical image segmentation

Fusion of information and analytics: a discussion on potential methods to cope with uncertainty in complex environments (big data and IoT)

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