57 citations · 118 across the 19 of their papers we have counts for
6 papers · 1 filter
Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis
Zhe Wang, Aladine Chetouani, Mohamed Jarraya +2
Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obst…
Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis
Zhe Wang, Aladine Chetouani, Yung Hsin Chen +7
Knee Osteoarthritis (KOA) is a prevalent musculoskeletal disorder that severely impacts mobility and quality of life, particularly among older adults. Its diagnosis often relies on…
Objective quality assessment of medical images and videos: Review and challenges
Rafael Rodrigues, Lucie Lévêque, Jesús Gutiérrez +7
Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization. In the medical field, user-b…
End-to-end deep multi-score model for No-reference stereoscopic image quality assessment
Oussama Messai, Aladine Chetouani
Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distri…
Deep-based quality assessment of medical images through domain adaptation
Marouane Tliba, Aymen Sekhri, Mohamed Amine Kerkouri +1
Predicting the quality of multimedia content is often needed in different fields. In some applications, quality metrics are crucial with a high impact, and can affect decision maki…
A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis
Salima Bourbia, Ayoub Karine, Aladine Chetouani +1
This paper addresses the problem of blind stereoscopic image quality assessment (NR-SIQA) using a new multi-task deep learning based-method. In the field of stereoscopic vision, th…