Detail publikace

Deep-MyoSeg: Deep learning-based approach for myocardium segmentation in clinical T1-MOLLI and T2-bSSFP maps

JAKUBÍČEK, R. VALESCO, C. HUA, A. FOTAKI, A. PRIETO, C. BOTNAR, R.

Originální název

Deep-MyoSeg: Deep learning-based approach for myocardium segmentation in clinical T1-MOLLI and T2-bSSFP maps

Typ

abstrakt

Jazyk

angličtina

Originální abstrakt

SMRA 2022 conference abstract as a result of cooperation with a foreign institution, Deep-MyoSeg: Deep learning-based approach for myocardium segmentation in clinical T1-MOLLI and T2-bSSFP maps

Klíčová slova

myocardium segmentation

Autoři

JAKUBÍČEK, R.; VALESCO, C.; HUA, A.; FOTAKI, A.; PRIETO, C.; BOTNAR, R.

Vydáno

28. 8. 2022

Místo

The Society for Magnetic Resonance Angiography (SMRA), Los Angeles, Spojené státy americké

Strany od

100

Strany do

100

Strany počet

1

URL

https://society4mra.org/index.php/download/smra-2022-abstract-2/

BibTex

@misc{BUT178958,
  author="Roman {Jakubíček} and Carlos Jimeno {Valesco} and Alina {Hua} and Anastasia {Fotaki} and Claudia {Prieto} and Rene {Botnar}",
  title="Deep-MyoSeg: Deep learning-based approach for myocardium segmentation in clinical T1-MOLLI and T2-bSSFP maps",
  booktitle="ABSTRACT BOOK - SMRA 2022 -34th Annual International Conference
Solving clinical problems with human creativity and machine learning
",
  year="2022",
  pages="100--100",
  address="The Society for Magnetic Resonance Angiography (SMRA), Los Angeles, Spojené státy americké",
  url="https://society4mra.org/index.php/download/smra-2022-abstract-2/",
  note="abstract"
}