Predicting 3D body shape and body composition from conventional 2D photography-Reference-Cited by-同舟云学术

Predicting 3D body shape and body composition from conventional 2D photography

Published:2020-10-20 Issue:12 Volume:47 Page:6232-6245
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Tian Isaac Y.¹,Ng Bennett K.²,Wong Michael C.³,Kennedy Samantha⁴,Hwaung Phoenix⁴,Kelly Nisa³,Liu En³,Garber Andrea K.⁵,Curless Brian¹,Heymsfield Steven B.⁴,Shepherd John A.³

Affiliation:

1. Paul G. Allen School of Computer Science and Engineering University of Washington Seattle WA98195USA

2. Intel Corporation Santa Clara CA95052USA

3. University of Hawaii Cancer CenterUniversity of Hawaii ‐ Manoa Honolulu HI96813USA

4. Pennington Biomedical Research Center Louisiana State University Baton Rouge LA70808USA

5. UCSF School of MedicineUniversity of California – San Francisco San Francisco CA94118USA

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14492

Reference21 articles.

1. Abdominal Obesity and the Risk of All-Cause, Cardiovascular, and Cancer Mortality

2. Obesity and Type 2 Diabetes: What Can Be Unified and What Needs to Be Individualized?

3. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms

4. Weight, shape, and mortality risk in older persons: elevated waist-hip ratio, not high body mass index, is associated with a greater risk of death

5. Visceral Fat Is an Independent Predictor of All-cause Mortality in Men*

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