Improvement of Quantification of Myocardial Synthetic ECV with Second-Generation Deep Learning Reconstruction

MLA

Tsubasa Morioka, et al. “Improvement of Quantification of Myocardial Synthetic ECV with Second-Generation Deep Learning Reconstruction.” Journal of Cardiovascular Development and Disease, vol. 11, no. 10, Oct. 2024, p. 304. EBSCOhost, https://doi.org/10.3390/jcdd11100304.

APA

Tsubasa Morioka, Shingo Kato, Ayano Onoma, Toshiharu Izumi, Tomokazu Sakano, Eiji Ishikawa, Shungo Sawamura, Naofumi Yasuda, Hiroaki Nagase, & Daisuke Utsunomiya. (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

Chicago

Tsubasa Morioka, 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 (10): 304. doi:10.3390/jcdd11100304.