Deep learning-based computed tomography quantification of left ventricular mass-Reference-Cited by-同舟云学术

Deep learning-based computed tomography quantification of left ventricular mass

Published:2023-09 Issue:2 Volume:1 Page:
ISSN:2755-9637
Container-title:European Heart Journal - Imaging Methods and Practice
language:en
Short-container-title:

Author:

Sehly Amro¹^ORCID,He Albert¹,Agris Jacob²,Konstantopoulos John²,Joyner Jack²,Flack Julien²,Kwok Simon²,Chow Benjamin J W³,Ko Brian⁴,Ridner Michael⁵,Ihdayhid Abdul Rahman¹⁶⁷^ORCID,Dwivedi Girish¹⁶⁸

Affiliation:

1. Cardiology Department, Fiona Stanley Hospital , 11 Robin Warren Drive, Murdoch, WA 6150 , Australia

2. Artrya Ltd , 1257 Hay St, West Perth, WA 6005 , Australia

3. Cardiology Department, University of Ottawa Heart Institute , Ottawa, ON , Canada

4. Monash Heart, Monash Cardiovascular Research Centre , Melbourne , Australia

5. Heart Centre, Huntsville Hospital , Huntsville, AL , USA

6. Harry Perkins Institute of Medical Research , 5 Robin Warren Drive, Murdoch, WA 6150 , Australia

7. Curtin University , Kent Street, Bentley, WA 6102 , Australia

8. University of Western Australia , 35 Stirling Highway, Crawley, WA 6009 , Australia

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/ehjimp/advance-article-pdf/doi/10.1093/ehjimp/qyad043/54142663/qyad043.pdf

Reference5 articles.

1. The relationship of left ventricular mass and geometry to incident cardiovascular events;Bluemke;J Am Coll Cardiol,2008

2. Cardiac CT assessment of left ventricular mass in mid-diastasis and its prognostic value;Klein;Eur Heart J Cardiovasc Imaging,2017

3. AI based CMR assessment of biventricular function: clinical significance of intervendor variability and measurement errors;Wang;JACC Cardiovasc Imaging,2022

4. Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: use of artificial intelligence with transfer learning to facilitate multi-site operations;Rockenbach;Intell-Based Med,2022

5. Quantification of left ventricular parameters obtained by automated software for 64-slice multidetector computed tomography and comparison with magnetic resonance imaging;Akram;Cardiovasc Intervent Radiol,2009