Morioka, T.; Kato, S.; Onoma, A.; Izumi, T.; Sakano, T.; Ishikawa, E.; Sawamura, S.; Yasuda, N.; Nagase, H.; Utsunomiya, D.
Improvement of Quantification of Myocardial Synthetic ECV with Second-Generation Deep Learning Reconstruction. J. Cardiovasc. Dev. Dis. 2024, 11, 304.
https://doi.org/10.3390/jcdd11100304
AMA Style
Morioka T, Kato S, Onoma A, Izumi T, Sakano T, Ishikawa E, Sawamura S, Yasuda N, Nagase H, Utsunomiya D.
Improvement of Quantification of Myocardial Synthetic ECV with Second-Generation Deep Learning Reconstruction. Journal of Cardiovascular Development and Disease. 2024; 11(10):304.
https://doi.org/10.3390/jcdd11100304
Chicago/Turabian Style
Morioka, Tsubasa, Shingo Kato, Ayano Onoma, Toshiharu Izumi, Tomokazu Sakano, Eiji Ishikawa, Shungo Sawamura, Naofumi Yasuda, Hiroaki Nagase, and Daisuke Utsunomiya.
2024. "Improvement of Quantification of Myocardial Synthetic ECV with Second-Generation Deep Learning Reconstruction" Journal of Cardiovascular Development and Disease 11, no. 10: 304.
https://doi.org/10.3390/jcdd11100304
APA Style
Morioka, T., Kato, S., Onoma, A., Izumi, T., Sakano, T., Ishikawa, E., Sawamura, S., Yasuda, N., Nagase, H., & Utsunomiya, D.
(2024). Improvement of Quantification of Myocardial Synthetic ECV with Second-Generation Deep Learning Reconstruction. Journal of Cardiovascular Development and Disease, 11(10), 304.
https://doi.org/10.3390/jcdd11100304
