Osteoarthritis (OA) is a serious joint disease affecting millions of people globally. Early
detection of the disease allows for slowing down its progression, leading to reduced …

Purpose Clinical cone-beam computed tomography (CBCT) devices are limited to imaging
features of half a millimeter in size and cannot quantify the tissue microstructure. We …

Structural dynamics of calcified cartilage (CC) are poorly understood. Conventionally, CC
structure is analyzed using histological sections. Micro‐computed tomography (µCT) allows …

Objective To develop and validate a machine learning (ML) approach for automatic three-
dimensional (3D) histopathological grading of osteochondral samples imaged with contrast …

Abstract Three-dimensional (3D) semi-quantitative grading of pathological features in
articular cartilage (AC) offers significant improvements in basic research of osteoarthritis …

Background and objective The accurate evaluation of bone mechanical properties is
essential for predicting fracture risk based on clinical computed tomography (CT) images …

Purpose To use a diffusion-based deep learning model to recover bone microstructure from
low-resolution images of the proximal femur, a common site of traumatic osteoporotic …

Purpose: Calcified cartilage (CC) undergoes constant remodeling due to two competing
events: 1) mineralization of the deep non-calcified cartilage that advances the tidemark, and …

The investigation of trabecular bone micro-architecture provides relevant information to
determine the bone strength, an important parameter in osteoporosis investigation. While …

Background Super‐resolution is an emerging method for enhancing MRI resolution;
however, its impact on image quality is still unknown. Purpose To evaluate MRI super …