Strain Curve Classification Using Supervised Machine Learning Algorithm with Physiologic Constraints-Reference-Cited by-同舟云学术

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Strain Curve Classification Using Supervised Machine Learning Algorithm with Physiologic Constraints

Published:2020-09 Issue:9 Volume:46 Page:2424-2438
ISSN:0301-5629
Container-title:Ultrasound in Medicine & Biology
language:en
Short-container-title:Ultrasound in Medicine & Biology

Author:

Yahav Amir,Zurakhov Grigoriy,Adler Omri,Adam Dan

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics,Radiology Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology

Reference45 articles.

1. Myocardial strain imaging: review of general principles, validation, and sources of discrepancies;Amzulescu;Eur Heart J Cardiovasc Imaging,2019

2. Relating myocardial laminar architecture to shear strain and muscle fiber orientation;Arts;Am J Physiol Heart Circ Physiol,2001

3. Layer-specific strain analysis by speckle tracking echocardiography reveals differences in left ventricular function between rats and humans;Bachner-Hinenzon;Am J Physiol Heart Circ Physiol,2010

4. Layer-specific assessment of left ventricular function by utilizing wavelet de-noising: a validation study;Bachner-Hinenzon;Med Biol Eng Comput,2010

5. Layer-specific strain analysis: investigation of regional deformations in a rat model of acute versus chronic myocardial infarction;Bachner-Hinenzon;Am J Physiol Heart Circ Physiol,2012

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