We propose a method for automatic segmentation of individual muscles from a clinical CT.
The method uses Bayesian convolutional neural networks with the U-Net architecture, using …

Purpose Manual annotations for training deep learning models in auto-segmentation are
time-intensive. This study introduces a hybrid representation-enhanced sampling strategy …

In total hip arthroplasty, analysis of postoperative medical images is important to evaluate
surgical outcome. Since Computed Tomography (CT) is most prevalent modality in …

Purpose To evaluate the relationship between the volume, cross-sectional area, and peak
isometric muscle strength of the gluteus maximus and gluteus medius muscles in patients …

Purpose Artificial intelligence (AI) technologies have enabled precise three-dimensional
analysis of individual muscles on computed tomography (CT) or magnetic resonance …

Impaired muscle recovery after total hip arthroplasty (THA) may affect gait and activities of
daily living. Bioelectrical impedance analysis (BIA) can assess body composition and …

This study aimed to determine which muscle the gluteus maximus, gluteus medius, gluteus
minimus (Gmin), or tensor fasciae latae (TFL) contributes most to hip abduction strength and …

Background Muscle strength around the hip after total hip arthroplasty (THA) is crucial for
preventing dislocation and limping. This study aimed to assess and compare muscle volume …

This paper presents methods of decomposition of musculoskeletal structures from
radiographs into multiple individual muscle and bone structures. While existing solutions …

Background The degeneration and functional decline of paravertebral muscles (PVMs) are
reported to be closely linked to the incidence of degenerative lumbar scoliosis (DLS), a …