Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
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Title
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
Authors
Keywords
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Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-10-20
DOI
10.1038/s41598-020-74633-5
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- (2018) Ryan Poplin et al. Nature Biomedical Engineering
- Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water-fat MRI
- (2018) Taro Langner et al. MAGNETIC RESONANCE IN MEDICINE
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- (2018) Alexander D. Weston et al. RADIOLOGY
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- Characterisation of liver fat in the UK Biobank cohort
- (2017) Henry R. Wilman et al. PLoS One
- Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies
- (2016) Janne West et al. PLoS One
- Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis
- (2015) Guido M. Kukuk et al. EUROPEAN RADIOLOGY
- Segmentation and quantification of adipose tissue by magnetic resonance imaging
- (2015) Houchun Harry Hu et al. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies
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- Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background
- (2015) Fabian Bamberg et al. RADIOLOGY
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- (2015) Cathie Sudlow et al. PLOS MEDICINE
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- (2013) Ian J. Neeland et al. Obesity
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- (2013) N. C. Harvey et al. OSTEOPOROSIS INTERNATIONAL
- Whole body fat: Content and distribution
- (2013) E.L. Thomas et al. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY
- Dual-Energy X-Ray Absorptiometry for Quantification of Visceral Fat
- (2012) Sanjiv Kaul et al. Obesity
- In vivo 3T spectroscopic quantification of liver fat content in nonalcoholic fatty liver disease: Correlation with biochemical method and morphometry
- (2010) Ernesto Roldan-Valadez et al. JOURNAL OF HEPATOLOGY
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