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Steven B Heymsfield

Showing results (151-160 of 544) with videos related to

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Steroids|May 26, 2009
In vivo MRI evaluation of anabolic steroid precursor growth effects in a guinea pig modelHaiying Tang, Joseph R Vasselli, Christopher Tong, et al.
Obesity (Silver Spring, Md.)|June 26, 2012
A single MRI slice does not accurately predict visceral and subcutaneous adipose tissue changes during weight lossWei Shen, Jun Chen, Madeleine Gantz, et al.
Journal of Cachexia, Sarcopenia and Muscle|February 18, 2014
Assessing skeletal muscle mass: historical overview and state of the artSteven B Heymsfield, Michael Adamek, M Cristina Gonzalez, et al.
Forensic Science International|October 25, 2020
Total body water is the preferred method to use in forensic blood-alcohol calculations rather than ethanol's volume of distributionPeter D Maskell, A Wayne Jones, Steven B Heymsfield, et al.
Frontiers in Nutrition|April 11, 2022
Non-linear Associations Between Visceral Adipose Tissue Distribution and Anthropometry-Based Estimates of Visceral AdiposityAldo Scafoglieri, Jona Van den Broeck, Erik Cattrysse, et al.
Nutrition & Metabolism|October 7, 2008
Body circumferences: clinical implications emerging from a new geometric modelSteven B Heymsfield, Allison Martin-Nguyen, Tung M Fong, et al.
Current Opinion in Clinical Nutrition and Metabolic Care|August 9, 2013
Advances in the understanding of specific metabolic rates of major organs and tissues in humansManfred J Müller, ZiMian Wang, Steven B Heymsfield, et al.
Nutrition (Burbank, Los Angeles County, Calif.)|January 8, 2021
New anthropometric and biochemical models for estimating appendicular skeletal muscle mass in male patients with cirrhosisGiliane Belarmino, Raquel Susana Torrinhas, Natália V Magalhães, et al.
The American Journal of Clinical Nutrition|March 20, 2021
Calf circumference: cutoff values from the NHANES 1999-2006Maria Cristina Gonzalez, Ali Mehrnezhad, Nariman Razaviarab, et al.
Plos One|October 9, 2024
Modeling health risks using neural network ensemblesBrandon M Smith, Antonio Criminisi, Noam Sorek, et al.
Pageof 55

Showing results (151-160 of 544) with videos related to

Sort By:
Pageof 55
Steroids|May 26, 2009
In vivo MRI evaluation of anabolic steroid precursor growth effects in a guinea pig modelHaiying Tang, Joseph R Vasselli, Christopher Tong, et al.
Obesity (Silver Spring, Md.)|June 26, 2012
A single MRI slice does not accurately predict visceral and subcutaneous adipose tissue changes during weight lossWei Shen, Jun Chen, Madeleine Gantz, et al.
Journal of Cachexia, Sarcopenia and Muscle|February 18, 2014
Assessing skeletal muscle mass: historical overview and state of the artSteven B Heymsfield, Michael Adamek, M Cristina Gonzalez, et al.
Forensic Science International|October 25, 2020
Total body water is the preferred method to use in forensic blood-alcohol calculations rather than ethanol's volume of distributionPeter D Maskell, A Wayne Jones, Steven B Heymsfield, et al.
Frontiers in Nutrition|April 11, 2022
Non-linear Associations Between Visceral Adipose Tissue Distribution and Anthropometry-Based Estimates of Visceral AdiposityAldo Scafoglieri, Jona Van den Broeck, Erik Cattrysse, et al.
Nutrition & Metabolism|October 7, 2008
Body circumferences: clinical implications emerging from a new geometric modelSteven B Heymsfield, Allison Martin-Nguyen, Tung M Fong, et al.
Current Opinion in Clinical Nutrition and Metabolic Care|August 9, 2013
Advances in the understanding of specific metabolic rates of major organs and tissues in humansManfred J Müller, ZiMian Wang, Steven B Heymsfield, et al.
Nutrition (Burbank, Los Angeles County, Calif.)|January 8, 2021
New anthropometric and biochemical models for estimating appendicular skeletal muscle mass in male patients with cirrhosisGiliane Belarmino, Raquel Susana Torrinhas, Natália V Magalhães, et al.
The American Journal of Clinical Nutrition|March 20, 2021
Calf circumference: cutoff values from the NHANES 1999-2006Maria Cristina Gonzalez, Ali Mehrnezhad, Nariman Razaviarab, et al.
Plos One|October 9, 2024
Modeling health risks using neural network ensemblesBrandon M Smith, Antonio Criminisi, Noam Sorek, et al.
Pageof 55