The University of Auckland
Browse
LandmarkTrackingRNNCNN.zip (377.27 MB)

LandmarkTrackingRNNCNN

Download (377.27 MB)
software
posted on 2020-05-03, 22:20 authored by Edward FerdianEdward Ferdian
The files contain the network weights linked to the publication:
Fully Automated Myocardial Strain Estimation from Cardiovascular MRI–tagged Images Using a Deep Learning Framework in the UK Biobank

The deep learning models were trained on 4,508 CMR-tagged images from the U.K. Biobank dataset.

Funding

New Zealand Heart Foundation Scholarship, Grant No. 1786, the Health Research Council of New Zealand, programme grant 17/608, and a grant from Siemens Healthineers, Erlangen, Germany.

History

Publisher

University of Auckland

Contact

e.ferdian@auckland.ac.nz

Temporal coverage: start

2020-05-04

Temporal coverage: end

2022-01-01

Usage metrics

    FMHS

    Categories

    Keywords

    mriDeep Learning ApplicationsArtificial Intelligence and Image ProcessingImage Processing

    Licence

    CC BY 4.0

    Exports