Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography-Reference-Cited by-同舟云学术

Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography

Published:2024-05 Issue:5 Volume:43 Page:2010-2020
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Ta Kevinminh¹^ORCID,Ahn Shawn S.¹^ORCID,Thorn Stephanie L.²^ORCID,Stendahl John C.²^ORCID,Zhang Xiaoran¹^ORCID,Langdon Jonathan³,Staib Lawrence H.⁴^ORCID,Sinusas Albert J.⁵^ORCID,Duncan James S.⁴^ORCID

Affiliation:

1. Department of Biomedical Engineering, Yale University, New Haven, CT, USA

2. Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University, New Haven, CT, USA

3. Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA

4. Department of Biomedical Engineering, the Department of Electrical Engineering, and the Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA

5. Department of Internal Medicine, the Section of Cardiovascular Medicine, the Department of Radiology and Biomedical Imaging, and the Department of Biomedical Engineering, Yale University, New Haven, CT, USA

Funder

National Institute of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10517791/10402069.pdf?arnumber=10402069

Reference47 articles.

1. Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

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4. Generalized robust point matching using an extended free-form deformation model: Application to cardiac images;Lin

5. NeurReg: Neural Registration and Its Application to Image Segmentation

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