Cardiac Adipose Tissue Segmentation via Image-Level Annotations-Reference-Cited by-同舟云学术

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Cardiac Adipose Tissue Segmentation via Image-Level Annotations

Published:2023-06 Issue:6 Volume:27 Page:2932-2943
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Huang Ziyi¹^ORCID,Gan Yu²^ORCID,Lye Theresa¹,Liu Yanchen¹,Zhang Haofeng³^ORCID,Laine Andrew⁴,Angelini Elsa⁴^ORCID,Hendon Christine¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Columbia University, New York, NY, USA

2. Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA

3. Department of Industrial Engineering and Operations Research, Columbia University, New York, NY, USA

4. Department of Biomedical Engineering, Columbia University, New York, NY, USA

Funder

New Jersey Health Foundation

Cheung-Kong Innovation Doctoral Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

https://ieeexplore.ieee.org/ielam/6221020/10144459/10093956-aam.pdf

Reference57 articles.

1. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search

2. Learning Deep Features for Discriminative Localization

3. Posterior Left Atrial Adipose Tissue Attenuation Assessed by Computed Tomography and Recurrence of Atrial Fibrillation After Catheter Ablation

4. End-to-end weakly supervised semantic segmentation with reliable region mining

5. Characterization of the human myocardium by optical coherence tomography

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1. A review of evaluation approaches for explainable AI with applications in cardiology;Artificial Intelligence Review;2024-08-09

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