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FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder.

, , , , , , , , and . Comput. Methods Programs Biomed., (2022)

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sklvq: Scikit Learning Vector Quantization., , and . J. Mach. Learn. Res., (2021)Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases., , , , , , , , , and 4 other author(s). APPIS, volume 310 of Frontiers in Artificial Intelligence and Applications, page 280-289. IOS Press, (2018)FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder., , , , , , , , and . Comput. Methods Programs Biomed., (2022)An application of generalized matrix learning vector quantization in neuroimaging., , , , , , , , , and 3 other author(s). Comput. Methods Programs Biomed., (2020)Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders., , , , , , , and . ESANN, (2017)Subspace corrected relevance learning with application in neuroimaging., , , , , , , , , and 4 other author(s). Artif. Intell. Medicine, (2024)