Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements-Reference-Cited by-同舟云学术

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Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements

Published:2021-02 Issue:2 Volume:14 Page:335-345
ISSN:1936-878X
Container-title:JACC: Cardiovascular Imaging
language:en
Short-container-title:JACC: Cardiovascular Imaging

Author:

Huang Kuan-Chih,Huang Chiun-Sheng,Su Mao-Yuan,Hung Chung-Lieh,Ethan Tu Yi-Chin,Lin Lung-Chun,Hwang Juey-Jen

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference32 articles.

1. Left ventricular dysfunction in cancer treatment;Kenigsberg;J Am Coll Cardiol HF,2018

2. Cardiac surveillance guidelines for trastuzumab-containing therapy in early-stage breast cancer: getting to the heart of the Matter;Dang;J Clin Oncol,2016

3. Use of myocardial strain imaging by echocardiography for the early detection of cardiotoxicity in patients during and after cancer chemotherapy: a systematic review;Thavendiranathan;J Am Coll Cardiol,2014

4. Detailed echocardiographic phenotyping in breast cancer patients: associations with ejection fraction decline, recovery, and heart failure symptoms over 3 years of follow-up;Narayan;Circulation,2017

5. Rationale and design of the strain surveillance of chemotherapy for improving cardiovascular outcomes;Negishi;J Am Coll Cardiol Img,2018

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