Literature DB >> 33236958

Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical Implementation.

Ronald M Summers1.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 33236958      PMCID： PMC7850233          DOI： 10.1148/radiol.2020203956

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


× No keyword cloud information.
  7 in total

1.  The evaluation of mass densities of human body in vivo from CT scans.

Authors:  H K Huang; S C Wu
Journal:  Comput Biol Med       Date:  1976-10       Impact factor: 4.589

2.  Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.

Authors:  Alexander D Weston; Panagiotis Korfiatis; Timothy L Kline; Kenneth A Philbrick; Petro Kostandy; Tomas Sakinis; Motokazu Sugimoto; Naoki Takahashi; Bradley J Erickson
Journal:  Radiology       Date:  2018-12-11       Impact factor: 11.105

3.  A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT.

Authors:  Joseph E Burns; Jianhua Yao; Didier Chalhoub; Joseph J Chen; Ronald M Summers
Journal:  Acad Radiol       Date:  2019-05-22       Impact factor: 3.173

4.  Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast.

Authors:  Alberto A Perez; Perry J Pickhardt; Daniel C Elton; Veit Sandfort; Ronald M Summers
Journal:  Abdom Radiol (NY)       Date:  2020-09-18

5.  Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study.

Authors:  Perry J Pickhardt; Peter M Graffy; Ryan Zea; Scott J Lee; Jiamin Liu; Veit Sandfort; Ronald M Summers
Journal:  Lancet Digit Health       Date:  2020-03-02

6.  Automated Abdominal CT Imaging Biomarkers for Opportunistic Prediction of Future Major Osteoporotic Fractures in Asymptomatic Adults.

Authors:  Perry J Pickhardt; Peter M Graffy; Ryan Zea; Scott J Lee; Jiamin Liu; Veit Sandfort; Ronald M Summers
Journal:  Radiology       Date:  2020-08-11       Impact factor: 11.105

7.  Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Authors:  Kirti Magudia; Christopher P Bridge; Camden P Bay; Ana Babic; Florian J Fintelmann; Fabian M Troschel; Nityanand Miskin; William C Wrobel; Lauren K Brais; Katherine P Andriole; Brian M Wolpin; Michael H Rosenthal
Journal:  Radiology       Date:  2020-11-24       Impact factor: 11.105
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.