Sarcopenia is a muscle disease which previously was associated only with aging, but in
recent days it has been gaining more attention for its predictive value in a vast range of …

Our work expands the use of capsule networks to the task of object segmentation for the first
time in the literature. This is made possible via the introduction of locally-constrained routing …

The diagnosis, prognosis, and treatment of patients with musculoskeletal (MSK) disorders
require radiology imaging (using computed tomography, magnetic resonance imaging …

Purpose Quantification of body tissue composition is important for research and clinical
purposes, given the association between the presence and severity of several disease …

Image segmentation is the foundation of high-level image analysis and image
understanding. How to effectively segment an image into regions that are “meaningful” to the …

The segmentation of brain tissue by MRI not only contributes to the study of the function and
anatomical structure of the brain, but it also offers a theoretical foundation for the diagnosis …

Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and
bone marrow) from magnetic resonance imaging (MRI) scans is useful for clinical and …

Severe spinal cord injury (SCI) leads to skeletal muscle atrophy and adipose tissue
infiltration in the skeletal muscle, which can result in compromised muscle mechanical …

Purpose Density-based spatial clustering of applications with noise (DBSCAN) is the most
commonly used density-based clustering algorithm, while it cannot be directly applied to the …

In our comprehensive experiments and evaluations, we show that it is possible to generate
multiple contrast (even all synthetically) and use synthetically generated images to train an …