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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

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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

paradigm_report_works_22122023 10.1016_j.cmpb.2022.107042 21 2022 107042 107042 article 225 cc-by https://doi.org/10.1016/j.cmpb.2022.107042 Computer Methods and Programs in Biomedicine Elsevier BV Rick van Veen Sanne K. Meles Remco J. Renken Fransje E. Reesink Wolfgang H. Oertel Annette Janzen Gert-Jan de Vries Klaus L. Leenders Michael Biehl True Thu, 07/28/2022 - 12:00 10.1016/j.cmpb.2022.107042 FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder

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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