MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision
Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms
in medical imaging are predominantly diverging from computer vision, where voxel grids …
in medical imaging are predominantly diverging from computer vision, where voxel grids …
Relationship of fat mass ratio, a biomarker for lipodystrophy, with cardiometabolic traits
Familial partial lipodystrophy (FPLD) is a heterogenous group of syndromes associated with
a high prevalence of cardiometabolic diseases. Prior work has proposed DEXA-derived fat …
a high prevalence of cardiometabolic diseases. Prior work has proposed DEXA-derived fat …
Updates on Methods for Body Composition Analysis: Implications for Clinical Practice
DM Thomas, I Crofford, J Scudder, B Oletti, A Deb… - Current Obesity …, 2025 - Springer
Background Recent technological advances have introduced novel methods for measuring
body composition, each with unique benefits and limitations. The choice of method often …
body composition, each with unique benefits and limitations. The choice of method often …
Prediction of total and regional body composition from 3D body shape
Accurate assessment of body composition is essential for evaluating the risk of chronic
disease. 3D body shape, obtainable using smartphones, correlates strongly with body …
disease. 3D body shape, obtainable using smartphones, correlates strongly with body …
HIT: Estimating Internal Human Implicit Tissues from the Body Surface
The creation of personalized anatomical digital twins is important in the fields of medicine
computer graphics sports science and biomechanics. To observe a subject's anatomy …
computer graphics sports science and biomechanics. To observe a subject's anatomy …
Sex-based approach to estimate human body fat percentage from 2D camera images with deep learning and machine learning
SSA Alves, EF Ohata, PCS Junior, CB Barroso… - Measurement, 2023 - Elsevier
Obesity is one of the most concerning nutritional issues since it is a significant risk factor for
chronic diseases, including cardiovascular disease and diabetes. Many dietary disorders …
chronic diseases, including cardiovascular disease and diabetes. Many dietary disorders …
Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics
The excessive accumulation and malfunctioning of visceral adipose tissue (VAT) is a major
determinant of increased risk of obesity-related comorbidities. Thus, risk stratification of …
determinant of increased risk of obesity-related comorbidities. Thus, risk stratification of …
An artificial intelligence–based pipeline for automated detection and localisation of epileptic sources from magnetoencephalography
Objective. Magnetoencephalography (MEG) is a powerful non-invasive diagnostic modality
for presurgical epilepsy evaluation. However, the clinical utility of MEG map** for …
for presurgical epilepsy evaluation. However, the clinical utility of MEG map** for …
Sex‐specific causality of MRI‐derived body compositions on glycaemic traits: Mendelian randomization and observational study
Aim To investigate the sex‐specific causality of body compositions in type 2 diabetes and
related glycaemic traits using Mendelian randomization (MR). Materials and Methods We …
related glycaemic traits using Mendelian randomization (MR). Materials and Methods We …
[HTML][HTML] Body fat distribution: a crucial target for intervention in nonalcoholic fatty liver disease and fibrosis
© HepatoBiliary Surgery and Nutrition. All rights reserved. HepatoBiliary Surg Nutr 2022; 11
(5): 738-742| https://dx. doi. org/10.21037/hbsn-22-366 manner [hazard ratio (HR)= 2.23; …
(5): 738-742| https://dx. doi. org/10.21037/hbsn-22-366 manner [hazard ratio (HR)= 2.23; …