Research ArticleAdult Brain
Open Access
Deep Learning of Time–Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma
J. Yun, S. Yun, J.E. Park, E.-N. Cheong, S.Y. Park, N. Kim and H.S. Kim
American Journal of Neuroradiology April 2023, DOI: https://doi.org/10.3174/ajnr.A7853
J. Yun
aFrom the Departments of Convergence Medicine (J.Y., N.K.)
bRadiology and Research Institute of Radiology (J.Y., J.E.P., N.K., H.S.K.), Asan Medical Center
S. Yun
dDepartment of Radiology (S.Y.), Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
J.E. Park
bRadiology and Research Institute of Radiology (J.Y., J.E.P., N.K., H.S.K.), Asan Medical Center
E.-N. Cheong
cMedical Science and Asan Medical Institute of Convergence Science and Technology (E.-N.C.), University of Ulsan College of Medicine, Seoul, Korea
S.Y. Park
eDepartment of Statistics and Data Science (S.Y.P.), Korea National Open University, Seoul, Korea
N. Kim
aFrom the Departments of Convergence Medicine (J.Y., N.K.)
bRadiology and Research Institute of Radiology (J.Y., J.E.P., N.K., H.S.K.), Asan Medical Center
H.S. Kim
bRadiology and Research Institute of Radiology (J.Y., J.E.P., N.K., H.S.K.), Asan Medical Center

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J. Yun, S. Yun, J.E. Park, E.-N. Cheong, S.Y. Park, N. Kim, H.S. Kim
Deep Learning of Time–Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma
American Journal of Neuroradiology Apr 2023, DOI: 10.3174/ajnr.A7853
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