Value-added opportunistic CT: insights into osteoporosis and sarcopenia

RD Boutin, L Lenchik - American Journal of Roentgenology, 2020 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this article is to review the emerging field of opportunistic CT,
which can be used to screen patients for osteoporosis and sarcopenia. CONCLUSION …

[HTML][HTML] MRI in the assessment of adipose tissues and muscle composition: how to use it

FA Huber, F Del Grande, S Rizzo… - … imaging in medicine …, 2020 - ncbi.nlm.nih.gov
Body composition analysis based on the characterization of different tissue compartments is
currently experiencing increasing attention by a broad range of medical disciplines for both …

Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks

Y Chen, D Ruan, J Xiao, L Wang, B Sun… - Medical …, 2020 - Wiley Online Library
Purpose Segmentation of multiple organs‐at‐risk (OARs) is essential for magnetic
resonance (MR)‐only radiation therapy treatment planning and MR‐guided adaptive …

Berdiff: Conditional bernoulli diffusion model for medical image segmentation

T Chen, C Wang, H Shan - … Conference on Medical Image Computing and …, 2023 - Springer
Medical image segmentation is a challenging task with inherent ambiguity and high
uncertainty attributed to factors such as unclear tumor boundaries and multiple plausible …

Automatic segmentation of magnetic resonance images for high‐dose‐rate cervical cancer brachytherapy using deep learning

SA Yoganathan, SN Paul, S Paloor, T Torfeh… - Medical …, 2022 - Wiley Online Library
Purpose Magnetic resonance (MR) imaging is the gold standard in image‐guided
brachytherapy (IGBT) due to its superior soft‐tissue contrast for target and organs‐at‐risk …

Expert consensus on morphofunctional assessment in disease-related malnutrition. Grade Review and Delphi Study

JM García-Almeida, C García-García… - Nutrients, 2023 - mdpi.com
Disease-related malnutrition (DRM) affects approximately a third of hospitalized patients and
is associated with an increased risk of morbimortality. However, DRM is often …

Automated vessel segmentation in lung CT and CTA images via deep neural networks

W Tan, L Zhou, X Li, X Yang, Y Chen… - Journal of X-ray …, 2021 - content.iospress.com
BACKGROUND: The distribution of pulmonary vessels in computed tomography (CT) and
computed tomography angiography (CTA) images of lung is important for diagnosing …

Injectable hydrogels for articular cartilage and nucleus pulposus repair: status quo and prospects

B Zoetebier, TC Schmitz, K Ito, M Karperien… - … Engineering Part A, 2022 - liebertpub.com
Osteoarthritis (OA) and chronic low back pain due to degenerative (intervertebral) disc
disease (DDD) are two of the major causes of disabilities worldwide, affecting hundreds of …

Automated muscle measurement on chest CT predicts all-cause mortality in older adults from the National Lung Screening Trial

L Lenchik, R Barnard, RD Boutin… - The Journals of …, 2021 - academic.oup.com
Background Muscle metrics derived from computed tomography (CT) are associated with
adverse health events in older persons, but obtaining these metrics using current methods is …

[HTML][HTML] Automatic liver segmentation in CT images with enhanced GAN and mask region-based CNN architectures

X Wei, X Chen, C Lai, Y Zhu, H Yang… - BioMed Research …, 2021 - hindawi.com
Liver image segmentation has been increasingly employed for key medical purposes,
including liver functional assessment, disease diagnosis, and treatment. In this work, we …