Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Ioannis Valasakis; Haikun Qi; Kerstin Hammernik; Gastao Lima da Cruz; Daniel Rueckert; Claudia Prieto Vasquez; Rene Botnar

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Ioannis Valasakis, Haikun Qi, Kerstin Hammernik, Gastao Lima da Cruz, Daniel Rueckert, Claudia Prieto Vasquez, Rene Botnar

Biomedical Engineering Department

Research output: Contribution to conference types › Poster › peer-review

Original language	English
Publication status	Published - 2021
Event	ISMRM & SMRT Annual Meeting & Exhibition - Duration: 20 Sept 2021 → …

Conference

Conference	ISMRM & SMRT Annual Meeting & Exhibition
Period	20/09/2021 → …

Cite this

@conference{658b7c2c10b44ffc868065b6d028cc20,

title = "Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)",

author = "Ioannis Valasakis and Haikun Qi and Kerstin Hammernik and {Lima da Cruz}, Gastao and Daniel Rueckert and {Prieto Vasquez}, Claudia and Rene Botnar",

year = "2021",

language = "English",

note = "ISMRM & SMRT Annual Meeting & Exhibition ; Conference date: 20-09-2021",

}

TY - CONF

T1 - Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

AU - Valasakis, Ioannis

AU - Qi, Haikun

AU - Hammernik, Kerstin

AU - Lima da Cruz, Gastao

AU - Rueckert, Daniel

AU - Prieto Vasquez, Claudia

AU - Botnar, Rene

PY - 2021

Y1 - 2021

M3 - Poster

T2 - ISMRM & SMRT Annual Meeting & Exhibition

Y2 - 20 September 2021

ER -