Body composition is known to be associated with several diseases, such as cardiovascular
disease, diabetes, cancers, osteoporosis and osteoarthritis. Body composition …

This paper gives a brief overview of common non-invasive techniques for body composition
analysis and a more in-depth review of a body composition assessment method based on …

Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …

Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …

Background Visceral and ectopic fat are key drivers of adverse cardiometabolic outcomes in
obesity. We aimed to evaluate the effects of injectable liraglutide 3· 0 mg daily on body fat …

The first reports of accurate skeletal muscle mass measurement in human subjects
appeared at about the same time as introduction of the sarcopenia concept in the late …

The idea that the purely phenomenological knowledge that we can extract by analyzing
large amounts of data can be useful in healthcare seems to contradict the desire of VPH …

Context As many sports are divided in male/female categories, governing bodies have
formed regulations on the eligibility for transgender individuals to compete in these …

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 …

Objective This study aimed to investigate the value of imaging‐based multivariable body
composition profiling by describing its association with coronary heart disease (CHD), type 2 …