Arai, H.; Kawakubo, M.; Sanui, K.; Iwamoto, R.; Nishimura, H.; Kadokami, T.
Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network. Int. J. Environ. Res. Public Health 2022, 19, 1401.
https://doi.org/10.3390/ijerph19031401
AMA Style
Arai H, Kawakubo M, Sanui K, Iwamoto R, Nishimura H, Kadokami T.
Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network. International Journal of Environmental Research and Public Health. 2022; 19(3):1401.
https://doi.org/10.3390/ijerph19031401
Chicago/Turabian Style
Arai, Hideo, Masateru Kawakubo, Kenichi Sanui, Ryoji Iwamoto, Hiroshi Nishimura, and Toshiaki Kadokami.
2022. "Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network" International Journal of Environmental Research and Public Health 19, no. 3: 1401.
https://doi.org/10.3390/ijerph19031401
APA Style
Arai, H., Kawakubo, M., Sanui, K., Iwamoto, R., Nishimura, H., & Kadokami, T.
(2022). Assessment of Bi-Ventricular and Bi-Atrial Areas Using Four-Chamber Cine Cardiovascular Magnetic Resonance Imaging: Fully Automated Segmentation with a U-Net Convolutional Neural Network. International Journal of Environmental Research and Public Health, 19(3), 1401.
https://doi.org/10.3390/ijerph19031401
