57 citations · 118 across the 19 of their papers we have counts for
6 papers · 1 filter
Automatic diagnosis of knee osteoarthritis severity using Swin transformer
Aymen Sekhri, Marouane Tliba, Mohamed Amine Kerkouri +4
Knee osteoarthritis (KOA) is a widespread condition that can cause chronic pain and stiffness in the knee joint. Early detection and diagnosis are crucial for successful clinical i…
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…
Quality evaluation of point clouds: a novel no-reference approach using transformer-based architecture
Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise +1
With the increased interest in immersive experiences, point cloud came to birth and was widely adopted as the first choice to represent 3D media. Besides several distortions that c…
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…
Kernel function impact on convolutional neural networks
M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera +1
This paper investigates the usage of kernel functions at the different layers in a convolutional neural network. We carry out extensive studies of their impact on convolutional, po…
BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios
Ali Ak, Emin Zerman, Maurice Quach +4
Point clouds have become increasingly prevalent in representing 3D scenes within virtual environments, alongside 3D meshes. Their ease of capture has facilitated a wide array of ap…