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Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images.
Adachi M, Fujioka T, Mori M, Kubota K, Kikuchi Y, Xiaotong W, Oyama J, Kimura K, Oda G, Nakagawa T, Uetake H, Tateishi U. Adachi M, et al. Among authors: oyama j. Diagnostics (Basel). 2020 May 20;10(5):330. doi: 10.3390/diagnostics10050330. Diagnostics (Basel). 2020. PMID: 32443922 Free PMC article.
Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging.
Fujioka T, Yashima Y, Oyama J, Mori M, Kubota K, Katsuta L, Kimura K, Yamaga E, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: oyama j. Magn Reson Imaging. 2021 Jan;75:1-8. doi: 10.1016/j.mri.2020.10.003. Epub 2020 Oct 10. Magn Reson Imaging. 2021. PMID: 33045323
Comparison of Cerebral Blood Flow Patterns in Patients with Phantom Bite Syndrome with Their Corresponding Clinical Features.
Umezaki Y, Watanabe M, Shinohara Y, Sugawara S, Kawasaki K, Tu TTH, Watanabe T, Suga T, Miura A, Takenoshita M, Sato Y, Minami I, Oyama J, Toriihara A, Yoshikawa T, Naito T, Motomura H, Toyofuku A. Umezaki Y, et al. Among authors: oyama j. Neuropsychiatr Dis Treat. 2020 Oct 6;16:2277-2284. doi: 10.2147/NDT.S262892. eCollection 2020. Neuropsychiatr Dis Treat. 2020. PMID: 33116526 Free PMC article.
The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review.
Fujioka T, Mori M, Kubota K, Oyama J, Yamaga E, Yashima Y, Katsuta L, Nomura K, Nara M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: oyama j. Diagnostics (Basel). 2020 Dec 6;10(12):1055. doi: 10.3390/diagnostics10121055. Diagnostics (Basel). 2020. PMID: 33291266 Free PMC article. Review.
235 results