A Joint 2.5D Physics-coupled Deep learning based Polynomial Fitting Approach for MR Electrical Properties Tomography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	Undefined/Unknown
Title of host publication	2024 ISMRM and ISMRT Annual Meeting and Exhibition
Place of Publication	Singapore, Singapore
Publication status	Published - 1 May 2024

Access to Document

@inproceedings{8f373e2121534ed1868d560b895e214a,

title = "A Joint 2.5D Physics-coupled Deep learning based Polynomial Fitting Approach for MR Electrical Properties Tomography",

author = "Kyu-Jin Jung and Thierry Meerbothe and Chuanjiang Cui and Mina Park and \{van den Berg\}, Cornelis and Stefano Mandija and Dong-Hyun Kim",

note = "Program Number: 3688",

year = "2024",

month = may,

day = "1",

language = "Undefined/Unknown",

booktitle = "2024 ISMRM and ISMRT Annual Meeting and Exhibition",

}

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A Joint 2.5D Physics-coupled Deep learning based Polynomial Fitting Approach for MR Electrical Properties Tomography

AU - Jung, Kyu-Jin

AU - Meerbothe, Thierry

AU - Cui, Chuanjiang

AU - Park, Mina

AU - van den Berg, Cornelis

AU - Mandija, Stefano

AU - Kim, Dong-Hyun

N1 - Program Number: 3688

PY - 2024/5/1

Y1 - 2024/5/1

M3 - Conference contribution

BT - 2024 ISMRM and ISMRT Annual Meeting and Exhibition

CY - Singapore, Singapore

ER -