Research ArticleARTIFICIAL INTELLIGENCE
Evaluating Biases and Quality Issues in Intermodality Image Translation Studies for Neuroradiology: A Systematic Review
Shannon L. Walston, Hiroyuki Tatekawa, Hirotaka Takita, Yukio Miki and Daiju Ueda
American Journal of Neuroradiology April 2024, DOI: https://doi.org/10.3174/ajnr.A8211
Shannon L. Walston
aFrom the Department of Diagnostic and Interventional Radiology (S.L.W., H.Tatekawa, H.Takita, Y.M., D.U.), Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
Hiroyuki Tatekawa
aFrom the Department of Diagnostic and Interventional Radiology (S.L.W., H.Tatekawa, H.Takita, Y.M., D.U.), Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
Hirotaka Takita
aFrom the Department of Diagnostic and Interventional Radiology (S.L.W., H.Tatekawa, H.Takita, Y.M., D.U.), Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
Yukio Miki
aFrom the Department of Diagnostic and Interventional Radiology (S.L.W., H.Tatekawa, H.Takita, Y.M., D.U.), Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
Daiju Ueda
aFrom the Department of Diagnostic and Interventional Radiology (S.L.W., H.Tatekawa, H.Takita, Y.M., D.U.), Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
bSmart Life Science Lab (D.U.), Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan

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Shannon L. Walston, Hiroyuki Tatekawa, Hirotaka Takita, Yukio Miki, Daiju Ueda
Evaluating Biases and Quality Issues in Intermodality Image Translation Studies for Neuroradiology: A Systematic Review
American Journal of Neuroradiology Apr 2024, DOI: 10.3174/ajnr.A8211
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