Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks-Reference-Cited by-同舟云学术

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Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks

Published:2024-07 Issue:7 Volume:71 Page:910-923
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Richardson Joseph B.¹^ORCID,Moore Christopher J.²,Gallippi Caterina M.³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA

2. Revvity (Formerly PerkinElmer), Waltham, MA, USA

3. Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Funder

National Cancer Institute

National Heart, Lung, and Blood Institute

National Institute of Diabetes and Digestive Kidney Diseases

National Institute of Neurological Disorders and Stroke

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/58/10591481/10537212.pdf?arnumber=10537212

Reference35 articles.

1. Tissue characterization;Chivers;Ultrasound Med. Biol.,1981

2. Radiomics: from qualitative to quantitative imaging

3. The importance of differentiating between qualitative, semi-quantitative, and quantitative imaging—close only counts in horseshoes

4. Handbook of Elastic Properties of Solids, Liquids, and Gases

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