Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation-Reference-Cited by-同舟云学术

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Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation

Published:2024-01 Issue:1 Volume:71 Page:68-76
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Shu Yu¹^ORCID,Smith Tianqi Gao²,Arunachalam Shivaram P.³^ORCID,Tolkacheva Elena G.⁴^ORCID,Cheng Changqing¹^ORCID

Affiliation:

1. Department of Systems Science and Industrial Engineering, State University of New York at Binghamton, Binghamton, NY, USA

2. Mayo Clinic College of Medicine and Science and Department of Radiation Oncology, USA

3. Department of Medicine and Radiology, Mayo Clinic, USA

4. Department of Biomedical Engineering, University of Minnesota, USA

Funder

National Science Foundation

Northeast Big Data Innovation Hub Seed Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

https://ieeexplore.ieee.org/ielam/10/10372404/10183360-aam.pdf

Reference36 articles.

1. Worldwide Epidemiology of Atrial Fibrillation

2. Intrinsic recurrence quantification analysis of nonlinear and nonstationary short-term time series

3. Pattern recognition and automatic identification of early-stage atrial fibrillation

4. Rotors and the Dynamics of Cardiac Fibrillation

5. Treatment of Atrial Fibrillation by the Ablation of Localized Sources

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