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Artificial Intelligence Will Transform Cardiac Imaging—Opportunities and Challenges

  • Published:2019-09-10 Issue: Volume:6 Page:
  • ISSN:2297-055X
  • Container-title:Frontiers in Cardiovascular Medicine
  • language:
  • Short-container-title:Front. Cardiovasc. Med.

Author:

Petersen Steffen E.,Abdulkareem Musa,Leiner Tim

Funder

Engineering and Physical Sciences Research Council

Horizon 2020 Framework Programme

Publisher

Frontiers Media SA

Subject

Cardiology and Cardiovascular Medicine

Reference31 articles.

1. A review of segmentation methods in short axis cardiac MR images;Petitjean;Med Image Anal.,2011

2. Automated detection of left ventricle in 4D MR images: experience from a large study;Lin,2006

3. Automatic segmentation of cardiac MRI cines validated for long axis views;Tsadok;Comput Med Imaging Graph.,2013

4. Segmentation by retrieval with guided random walks: application to left ventricle segmentation in MRI;Eslami;Med Image Anal.,2013

5. Automatic functional analysis of left ventricle in cardiac cine MRI;Lu;Quant Imaging Med Surg.,2013
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