Quantitative ultrasound augmented with machine learning to assess tissue microstructure during wound healing-Reference-Cited by-同舟云学术

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Quantitative ultrasound augmented with machine learning to assess tissue microstructure during wound healing

Published:2025-05 Issue: Volume:103 Page:107420
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Lemonnier David,Sumpio Brandon J.,Crouse Maxwell,Mezghani Ikram,Theocharidis Georgios,Jakus Margaret A.,Rayappa Karen,Abe Naoki,Yeo Kyongmin,Ma Tengfei,Sia Samuel K.,Veves Aristidis,Chitnis Parag V.

Funder

Defense Advanced Research Projects Agency Defense Sciences Office

Interior Business Center

U.S. Department of the Interior

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Reference102 articles.

1. A new concept of a multidisciplinary wound healing center and a national expert function of wound healing;Gottrup;Arch. Surg. Chic Ill,2001

2. Epidemiology and disease burden of complex wounds for inpatients in China: an observational study from Sichuan province;Jiang;BMJ Open,2020

3. Multicentre study of chronic wounds point prevalence in primary health care in the southern metropolitan area of Barcelona;Díaz-Herrera;J. Clin. Med.,2021

4. An economic evaluation of the impact, cost, and medicare policy implications of chronic nonhealing wounds;Nussbaum;Value Health J. Int. Soc. Pharmacoeconomics Outcomes Res.,2018

5. Prevalence of chronic skin wounds and their risk factors in an inpatient hospital setting in Northern China;Yao;Adv. Skin Wound Care,2020

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