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Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation
A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. Aoki
American Journal of Neuroradiology January 2019, DOI: https://doi.org/10.3174/ajnr.A5927
A. Hagiwara
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)cDepartment of Radiology (A.H., R.I., S.K., T.M.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
Y. Otsuka
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)dMilliman Inc (Y.O.). Tokyo, Japan
M. Hori
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
Y. Tachibana
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)eApplied MRI Research (Y.T.), Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, Chiba, Japan
K. Yokoyama
bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan
S. Fujita
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
C. Andica
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
K. Kamagata
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
R. Irie
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)cDepartment of Radiology (A.H., R.I., S.K., T.M.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
S. Koshino
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)cDepartment of Radiology (A.H., R.I., S.K., T.M.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
T. Maekawa
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)cDepartment of Radiology (A.H., R.I., S.K., T.M.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
L. Chougar
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)fDepartment of Radiology (L.C.), Hopital Saint-Joseph, Paris, France; and Department of Radiological Sciences.
A. Wada
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
M.Y. Takemura
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
N. Hattori
bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan
S. Aoki
aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation
A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori, S. Aoki
American Journal of Neuroradiology Jan 2019, DOI: 10.3174/ajnr.A5927
Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation
A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori, S. Aoki
American Journal of Neuroradiology Jan 2019, DOI: 10.3174/ajnr.A5927
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