Vahedifard, F.; Ai, H.A.; Supanich, M.P.; Marathu, K.K.; Liu, X.; Kocak, M.; Ansari, S.M.; Akyuz, M.; Adepoju, J.O.; Adler, S.;
et al. Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements. Diagnostics 2023, 13, 2355.
https://doi.org/10.3390/diagnostics13142355
AMA Style
Vahedifard F, Ai HA, Supanich MP, Marathu KK, Liu X, Kocak M, Ansari SM, Akyuz M, Adepoju JO, Adler S,
et al. Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements. Diagnostics. 2023; 13(14):2355.
https://doi.org/10.3390/diagnostics13142355
Chicago/Turabian Style
Vahedifard, Farzan, H. Asher Ai, Mark P. Supanich, Kranthi K. Marathu, Xuchu Liu, Mehmet Kocak, Shehbaz M. Ansari, Melih Akyuz, Jubril O. Adepoju, Seth Adler,
and et al. 2023. "Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements" Diagnostics 13, no. 14: 2355.
https://doi.org/10.3390/diagnostics13142355
APA Style
Vahedifard, F., Ai, H. A., Supanich, M. P., Marathu, K. K., Liu, X., Kocak, M., Ansari, S. M., Akyuz, M., Adepoju, J. O., Adler, S., & Byrd, S.
(2023). Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements. Diagnostics, 13(14), 2355.
https://doi.org/10.3390/diagnostics13142355