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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

Learning Vector Quantization with Applications in Neuroimaging and Biomedicine

Urinary steroid metabolomics for adrenocortical cancer diagnosis. Comparison of gas chromatography mass spectrometry to liquid chromatography mass spectrometry

sklvq: Scikit Learning Vector Quantization

An application of generalized matrix learning vector quantization in neuroimaging

Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases

Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders

Wearable accelerometer based extended sleep position recognition

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