Radke, K.L.; Wollschläger, L.M.; Nebelung, S.; Abrar, D.B.; Schleich, C.; Boschheidgen, M.; Frenken, M.; Schock, J.; Klee, D.; Frahm, J.;
et al. Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease. Diagnostics 2021, 11, 1077.
https://doi.org/10.3390/diagnostics11061077
AMA Style
Radke KL, Wollschläger LM, Nebelung S, Abrar DB, Schleich C, Boschheidgen M, Frenken M, Schock J, Klee D, Frahm J,
et al. Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease. Diagnostics. 2021; 11(6):1077.
https://doi.org/10.3390/diagnostics11061077
Chicago/Turabian Style
Radke, Karl Ludger, Lena Marie Wollschläger, Sven Nebelung, Daniel Benjamin Abrar, Christoph Schleich, Matthias Boschheidgen, Miriam Frenken, Justus Schock, Dirk Klee, Jens Frahm,
and et al. 2021. "Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease" Diagnostics 11, no. 6: 1077.
https://doi.org/10.3390/diagnostics11061077
APA Style
Radke, K. L., Wollschläger, L. M., Nebelung, S., Abrar, D. B., Schleich, C., Boschheidgen, M., Frenken, M., Schock, J., Klee, D., Frahm, J., Antoch, G., Thelen, S., Wittsack, H.-J., & Müller-Lutz, A.
(2021). Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease. Diagnostics, 11(6), 1077.
https://doi.org/10.3390/diagnostics11061077