A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging

Ramon Alfredo Moreno, Marina F. S. de Sá Rebelo, Talles Carvalho, Antonildes N. Assunção, Roberto N. Dantas, Renata do Val, Angela S. Marin, Adriano Bordignom, Cesar H. Nomura, Marco A. Gutierrez. A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging. In Barjor Gimi, Andrzej Król, editors, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 16-21 February 2019. Volume 10953 of SPIE Proceedings, SPIE, 2019. [doi]

@inproceedings{MorenoRCADVMBNG19,
  title = {A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging},
  author = {Ramon Alfredo Moreno and Marina F. S. de Sá Rebelo and Talles Carvalho and Antonildes N. Assunção and Roberto N. Dantas and Renata do Val and Angela S. Marin and Adriano Bordignom and Cesar H. Nomura and Marco A. Gutierrez},
  year = {2019},
  doi = {10.1117/12.2512895},
  url = {https://doi.org/10.1117/12.2512895},
  researchr = {https://researchr.org/publication/MorenoRCADVMBNG19},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 16-21 February 2019},
  editor = {Barjor Gimi and Andrzej Król},
  volume = {10953},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}