Characterization of motion patterns by a spatio-temporal saliency descriptor in cardiac cine MRI-Reference-Cited by-同舟云学术

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Characterization of motion patterns by a spatio-temporal saliency descriptor in cardiac cine MRI

Published:2022-05 Issue: Volume:218 Page:106714
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Atehortúa Angélica^ORCID,Romero Eduardo,Garreau Mireille

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference76 articles.

1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Spatiotemporal energy models for the perception of motion;Adelson;JOSA A,1985

3. Visual motion perception;Albright;Proc. Natl. Acad. Sci.,1995

4. Reducing luminance intensity can improve motion perception in noise;Allard;Sci. Rep.,2017

5. Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI;Andreopoulos;Med. Image Anal.,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HQMC-CPC: A Hybrid Quantum Multiclass Cardiac Pathologies Classification Integrating a Modified Hardware Efficient Ansatz;IEEE Access;2024

2. A relative motion model for myocardial infarction detection;Medical Imaging 2023: Image Processing;2023-04-03

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