Quantitative feature extraction for machine learning analysis of resting-state fMRI data

Scientific presentation in universities or research centers (Scientific presentations in universities or research centers)

Glaab, Enrico

2017

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https://hdl.handle.net/10993/32381

metimagpd_meeting_july_2017.pdf

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Keywords :

Parkinson's disease; neuroimaging; fmri; resting-state; classification; prediction; feature selection

Disciplines :

Life sciences: Multidisciplinary, general & others
Neurology

Author, co-author :

Glaab, Enrico ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

Language :

English

Title :

Quantitative feature extraction for machine learning analysis of resting-state fMRI data

Publication date :

2017

Event name :

MetimagPD Meeting

Event place :

Esch-sur-Alzette, Luxembourg

Event date :

06.07.2017

Audience :

International

Focus Area :

Systems Biomedicine

Available on ORBilu :

since 24 September 2017

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Number of downloads

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