Automated tracking of the tricuspid valve plane in long-axis cine images with a 2-step deep learning pipeline
主要な著者: | Gonzales, RA, Lamy, J, Peters, DC |
---|---|
フォーマット: | Conference item |
言語: | English |
出版事項: |
Society for Magnetic Resonance Angiography
2020
|
類似資料
-
Automated tracking of the tricuspid valve plane in long-axis cine images with a 2-step deep learning pipeline
著者:: Gonzales, RA, 等
出版事項: (2021) -
TVnet: automated time-resolved tracking of the tricuspid valve plane in MRI long-axis cine images with a dual-stage deep learning pipeline
著者:: Gonzales, RA, 等
出版事項: (2021) -
TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function
著者:: Gonzales, RA, 等
出版事項: (2022) -
Time-resolved tracking of the atrioventricular plane displacement in long-axis cine images with residual neural networks
著者:: Gonzales, RA, 等
出版事項: (2020) -
Tricuspid valve flow measurement using a deep learning framework for automated valve‐tracking 2D phase contrast
著者:: Lamy, J, 等
出版事項: (2024)