Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization-Reference-Cited by-同舟云学术

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Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization

Published:2024-04-02 Issue:02 Volume:11 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Yu Xin¹,Yang Qi¹,Tang Yucheng²,Gao Riqiang¹,Bao Shunxing²,Cai Leon Y.³,Lee Ho Hin¹,Huo Yuankai¹,Moore Ann Zenobia⁴,Ferrucci Luigi⁴,Landman Bennett A.¹

Affiliation:

1. Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States

2. Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States

3. Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States

4. National Institute on Aging, Baltimore, Maryland, United States

Publisher

SPIE-Intl Soc Optical Eng

Reference54 articles.

1. Body composition techniques

2. Body composition in coronary heart disease: how does body mass index correlate with body fatness?;De Schutter,2011

3. Sarcopenia and the Analysis of Body Composition1,2

4. Body composition in type 2 diabetes: Change in quality and not just quantity that matters

5. Body composition in clinical practice

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative AI models in time varying biomedical data: a systematic review (Preprint);2024-04-30

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