Reference : Quantitative feature extraction for machine learning analysis of resting-state fMRI data
Scientific Presentations in Universities or Research Centers : Scientific presentation in universities or research centers
Life sciences : Multidisciplinary, general & others
Human health sciences : Neurology
Systems Biomedicine
http://hdl.handle.net/10993/32381
Quantitative feature extraction for machine learning analysis of resting-state fMRI data
English
Glaab, Enrico mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
2017
International
MetimagPD Meeting
06.07.2017
Esch-sur-Alzette
Luxembourg
[en] Parkinson's disease ; neuroimaging ; fmri ; resting-state ; classification ; prediction ; feature selection
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/32381

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