research
∙
07/03/2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers
Knee Osteoarthritis (KOA) is a highly prevalent chronic musculoskeletal ...
share
research
∙
11/02/2022
Unsupervised denoising for sparse multi-spectral computed tomography
Multi-energy computed tomography (CT) with photon counting detectors (PC...
research
∙
01/26/2022
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
Accurate prediction of knee osteoarthritis (KOA) progression from struct...
research
∙
06/03/2021
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis
Objective is to assess the ability of texture features for detecting rad...
research
∙
01/12/2021
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST)
Objective: To assess the ability of imaging-based deep learning to predi...
research
∙
05/24/2020
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection
Knee osteoarthritis (OA) is very common progressive and degenerative mus...
research
∙
08/21/2019
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
The purposes of this study were to investigate: 1) the effect of placeme...
research
∙
08/12/2019
