Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies
2021 · Scientific Reports · 53 citations
https://doi.org/10.1038/s41598-021-89311-3
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Keita Nagawa
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5
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Keita Nagawa is an academic researcher. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & MRI in cancer diagnosis & Osteoarthritis Treatment and Mechanisms. The author has an h-index of 7, co-authored 17 publications.
Papers by this author
worksUtility of contrast-enhanced 3D STIR FLAIR imaging for evaluating pituitary adenomas at 3 Tesla
2023 · European Journal of Radiology Open · 11 citations
https://doi.org/10.1016/j.ejro.2023.100500
Three-dimensional convolutional neural network-based classification of chronic kidney disease severity using kidney MRI
2024 · Scientific Reports · 10 citations
https://doi.org/10.1038/s41598-024-66814-3
Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability
2024 · Scientific Reports · 8 citations
https://doi.org/10.1038/s41598-024-62143-7
Evaluation of Uterine Carcinosarcoma and Uterine Endometrial Carcinoma Using Magnetic Resonance Imaging Findings and Texture Features
2024 · Cureus · 0 citations
https://doi.org/10.7759/cureus.55916
Contrast Enhancement of the Olfactory Recess Using Heavily T2-Weighted 3D Fluid-Attenuated Inversion Recovery Imaging (FLAIR)
2025 · Cureus · 0 citations
https://doi.org/10.7759/cureus.82153
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