Advanced body composition assessment: from body mass index to body composition profiling
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 …
analysis and a more in-depth review of a body composition assessment method based on …
Quantifying skeletal muscle volume and shape in humans using MRI: a systematic review of validity and reliability
C Pons, B Borotikar, M Garetier, V Burdin… - PloS one, 2018 - journals.plos.org
Aims The aim of this study was to report the metrological qualities of techniques currently
used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles …
used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles …
Automated muscle segmentation from clinical CT using Bayesian U-Net for personalized musculoskeletal modeling
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 …
The method uses Bayesian convolutional neural networks with the U-Net architecture, using …
Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis …
J Martel-Pelletier, P Paiement… - Therapeutic Advances …, 2023 - journals.sagepub.com
Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …
decades. This disease is heterogeneous and involves structural changes in the whole joint …
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain
Objective Segmentation of thigh muscle and adipose tissue is important for the
understanding of musculoskeletal diseases such as osteoarthritis. Therefore, the purpose of …
understanding of musculoskeletal diseases such as osteoarthritis. Therefore, the purpose of …
Incorporating prior knowledge in medical image segmentation: a survey
MS Nosrati, G Hamarneh - arXiv preprint arXiv:1607.01092, 2016 - arxiv.org
Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …
important step toward automating medical image analysis and is at the crux of a variety of …
Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural …
High-resolution magnetic resonance imaging with fat suppression can obtain accurate
anatomical information of all 35 lower limb muscles and individual segmentation can …
anatomical information of all 35 lower limb muscles and individual segmentation can …
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders
Fully-automated segmentation of pathological shoulder muscles in patients with musculo-
skeletal diseases is a challenging task due to the huge variability in muscle shape, size …
skeletal diseases is a challenging task due to the huge variability in muscle shape, size …
Overview of MR image segmentation strategies in neuromuscular disorders
Neuromuscular disorders are rare diseases for which few therapeutic strategies currently
exist. Assessment of therapeutic strategies efficiency is limited by the lack of biomarkers …
exist. Assessment of therapeutic strategies efficiency is limited by the lack of biomarkers …
MRI adipose tissue and muscle composition analysis—a review of automation techniques
M Borga - The British journal of radiology, 2018 - academic.oup.com
MRI is becoming more frequently used in studies involving measurements of adipose tissue
and volume and composition of skeletal muscles. The large amount of data generated by …
and volume and composition of skeletal muscles. The large amount of data generated by …