TVnet: automated time-resolved tracking of the tricuspid valve plane in MRI long-axis cine images with a dual-stage deep learning pipeline
Tracking the tricuspid valve (TV) in magnetic resonance imaging (MRI) long-axis cine images has the potential to aid in the evaluation of right ventricular dysfunction, which is common in congenital heart disease and pulmonary hypertension. However, this annotation task remains difficult and time-de...
Những tác giả chính: | Gonzales, RA, Lamy, J, Seemann, F, Heiberg, E, Onofrey, JA, Peters, DC |
---|---|
Định dạng: | Conference item |
Ngôn ngữ: | English |
Được phát hành: |
Springer
2021
|
Những quyển sách tương tự
-
Automated tracking of the tricuspid valve plane in long-axis cine images with a 2-step deep learning pipeline
Bằng: Gonzales, RA, et al.
Được phát hành: (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
Bằng: Gonzales, RA, et al.
Được phát hành: (2022) -
Time-resolved tracking of the atrioventricular plane displacement in long-axis cine images with residual neural networks
Bằng: Gonzales, RA, et al.
Được phát hành: (2020) -
Automated tracking of the tricuspid valve plane in long-axis cine images with a 2-step deep learning pipeline
Bằng: Gonzales, RA, et al.
Được phát hành: (2020) -
TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking
Bằng: Gonzales, RA, et al.
Được phát hành: (2023)