(Q34598011)

3 August 2017

title

Automated separation of visceral and subcutaneous adiposity in in vivo microcomputed tomographies of mice (English)

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3 August 2017

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Svetlana Lublinsky

1

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3 August 2017

Yen K Luu

series ordinal

2

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3 August 2017

Clinton T Rubin

series ordinal

3

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3 August 2017

Stefan Judex

series ordinal

4

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3 August 2017

publication date

3 September 2008

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Journal of Digital Imaging

3 August 2017

published in

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3 August 2017

volume

22

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3 August 2017

issue

3

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3 August 2017

page(s)

222-231

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https://scigraph.springernature.com/pub.10.1007/s10278-008-9152-x

3 August 2017

exact match

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cites work

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In vivo quantification of subcutaneous and visceral adiposity by micro-computed tomography in a small animal model.

7 July 2018

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Adipogenesis is inhibited by brief, daily exposure to high-frequency, extremely low-magnitude mechanical signals

7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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Comparison of CT methods for determining the fat content of the liver

7 July 2018

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Accurate quantification of visceral adipose tissue (VAT) using water-saturation MRI and computer segmentation: preliminary results

7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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26 October 2018

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26 October 2018

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Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging.

26 October 2018

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Using a phantom to compare MR techniques for determining the ratio of intraabdominal to subcutaneous adipose tissue

26 October 2018

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26 October 2018

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26 October 2018

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12 December 2020

Measurement of abdominal and visceral fat with computed tomography and dual-energy x-ray absorptiometry

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12 December 2020

A microtomographic system for the nondestructive evaluation of bone architecture

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12 December 2020

Pericardial fat accumulation in men as a risk factor for coronary artery disease

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12 December 2020

Noninvasive in vivo quantitative assessment of fat content in human liver

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12 December 2020

Quantification of total abdominal fat volumes using magnetic resonance imaging

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12 December 2020

Performance Evaluation of Abdominal Fat Burden Quantification in CT

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12 December 2020

10.1007/S10278-008-9152-X

Identifiers

DOI

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journals/jdi/LublinskyLRJ09

3 August 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

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3 August 2017

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