Additional file 1: of Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification

Bratt, Alex; Kim, Jiwon; Pollie, Meridith; Beecy, Ashley; Tehrani, Nathan; Codella, Noel; Perez-Johnston, Rocio; Palumbo, Maria; Alakbarli, Javid; Colizza, Wayne; Drexler, Ian; Azevedo, Clerio; Kim, Raymond; Devereux, Richard; Weinsaft, Jonathan

doi:10.6084/m9.figshare.7552457.v1

12968_2018_509_MOESM1_ESM.docx (14.26 kB)

Additional file 1: of Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification

journal contribution

posted on 2019-01-07, 05:00 authored by Alex Bratt, Jiwon Kim, Meridith Pollie, Ashley Beecy, Nathan Tehrani, Noel Codella, Rocio Perez-Johnston, Maria Palumbo, Javid Alakbarli, Wayne Colizza, Ian Drexler, Clerio Azevedo, Raymond Kim, Richard Devereux, Jonathan Weinsaft

Volume Overlap and Surface Distance Equations. (DOCX 14 kb)

Funding

National Institutes of Health

History

Usage metrics

Keywords

Cardiovascular magnetic resonance Machine learning Deep learning Phase contrast Aorta

Licence

CC BY + CC0

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

Additional file 1: of Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification

Funding

National Institutes of Health

History

Usage metrics

Categories

Keywords

Licence

Exports