Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends

Haller, Sven; Lövblad, Karl-Olof; Giannakopoulos, Panteleimon; Van De Ville, Dimitri

doi:10.1007/s10548-014-0360-z

Scientific article

English

Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends

ContributorsHaller, Sven; Lövblad, Karl-Olof; Giannakopoulos, Panteleimon; Van De Ville, Dimitri

Published inBrain topography, vol. 27, no. 3, p. 329-337

Publication date2014

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de psychiatrie
Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

Research groups

Funding

Swiss National Science Foundation - Computational Brain Function: Advanced Tools for an Emerging Discipline [146318]

Citation (ISO format)

HALLER, Sven et al. Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends. In: Brain topography, 2014, vol. 27, n° 3, p. 329–337. doi: 10.1007/s10548-014-0360-z

Article (Published version)

Identifiers

PID : unige:76007
DOI : 10.1007/s10548-014-0360-z
PMID : 24676572

Additional URL for this publicationhttp://link.springer.com/10.1007/s10548-014-0360-z

Journal ISSN0896-0267

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Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends

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