Publications

MITEA: A Dataset for Machine Learning Segmentation of the Left Ventricle in 3D Echocardiography Using Subject-Specific Labels from Cardiac Magnetic Resonance Imaging

AuthID
P-00X-V1C

Author(s)

Zhao, DB

Ferdian, E

Talou, GDM

Quill, GM

Gilbert, K

Wang, VY

Gamage, TPB

Pedrosa, J

D'hooge, J

Sutton, TM

Lowe, BS

Legget, ME

Ruygrok, PN

Doughty, RN

Camara, O

Young, AA

Nash, MP

Document Type

Article

Year published

2023

Published

in FRONTIERS IN CARDIOVASCULAR MEDICINE, ISSN: 2297-055X

Volume: 9

Indexing

Wos^®

Scopus^®

Crossref^®3

Pubmed^®

Unpaywall^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.3389/fcvm.2022.1016703

Pubmed: 36704465

Scopus: 2-s2.0-85147023443

Unpaywall: 10.3389/fcvm.2022.1016703

Wos: WOS:000917700700001

Source Identifiers

ISSN: 2297-055X

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

MITEA: A Dataset for Machine Learning Segmentation of the Left Ventricle in 3D Echocardiography Using Subject-Specific Labels from Cardiac Magnetic Resonance Imaging

Useful Links

Get Help

Federated Authentication (Click on the image)

MITEA: A Dataset for Machine Learning Segmentation of the Left Ventricle in 3D Echocardiography Using Subject-Specific Labels from Cardiac Magnetic Resonance Imaging

Useful Links

Get Help