Ogunleye, O.A.; Raviprakash, H.; Simmons, A.M.; Bovell, R.T.M.; Martinez, P.E.; Yanovski, J.A.; Berman, K.F.; Schmidt, P.J.; Jones, E.C.; Bagheri, H.;
et al. A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging. Tomography 2023, 9, 139-149.
https://doi.org/10.3390/tomography9010012
AMA Style
Ogunleye OA, Raviprakash H, Simmons AM, Bovell RTM, Martinez PE, Yanovski JA, Berman KF, Schmidt PJ, Jones EC, Bagheri H,
et al. A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging. Tomography. 2023; 9(1):139-149.
https://doi.org/10.3390/tomography9010012
Chicago/Turabian Style
Ogunleye, Olanrewaju A., Harish Raviprakash, Ashlee M. Simmons, Rhasaan T.M. Bovell, Pedro E. Martinez, Jack A. Yanovski, Karen F. Berman, Peter J. Schmidt, Elizabeth C. Jones, Hadi Bagheri,
and et al. 2023. "A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging" Tomography 9, no. 1: 139-149.
https://doi.org/10.3390/tomography9010012
APA Style
Ogunleye, O. A., Raviprakash, H., Simmons, A. M., Bovell, R. T. M., Martinez, P. E., Yanovski, J. A., Berman, K. F., Schmidt, P. J., Jones, E. C., Bagheri, H., Biassou, N. M., & Hsu, L.-Y.
(2023). A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging. Tomography, 9(1), 139-149.
https://doi.org/10.3390/tomography9010012
