Objectives It remains difficult to characterize the source of pain in knee joints either using
radiographs or magnetic resonance imaging (MRI). We sought to determine if advanced …

Knee pain is the most common and debilitating symptom of knee osteoarthritis (OA). While
there is a perceived association between OA imaging biomarkers and pain, there are weak …

Objectives: Describe the indications for total knee arthroplasty. Outline the contraindications
to total knee arthroplasty. Summarize the complications of total knee arthroplasty. Explain …

Scene classification technology based on computer vision has been widely applied in many
fields. However, with the increasing complexity of images, many computer vision …

Objective We applied data-driven feature learning to classify the presence and 8-years
incidence of knee pain from MRI. Design We analyzed the data from the Osteoarthritis …

Osteoarthritis (OA) is the most common musculoskeletal disorder in the world, affecting
hand, hip, and knee joints. At the final stage, OA leads to joint replacement, causing an …

Background and objective It remains difficult to characterize pain in knee joints with
osteoarthritis solely by radiographic findings. We sought to understand how advanced …

In this thesis, we investigate the potential for automation in the scoring process of Psoriatic
Arthritis x-rays. We focus on the identification of bones structures through a latent space …

Knee osteoarthritis is a degenerative musculoskeletal disorder marked by gradual cartilage
breakdown, and involving all tissues of the joint. It is one of the most common worldwide …

Large-scale analysis of the relationship between learned qMRI biomarkers and chronic
knee pain. 7,437 patient timepoints reporting chronic pain were used to train three different …