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Yasuhiko Tachibana

Applied MRI Research, Department of Molecular imaging and Theranostics, National Institute of Radiological Sciences, QST, Department of Radiology, Juntendo University School of Medicine

A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series

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Feb 03, 2020
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The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging

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Apr 24, 2019
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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

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Sep 11, 2018
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