001034746 001__ 1034746
001034746 005__ 20250310131248.0
001034746 0247_ $$2doi$$a10.1109/ISBI56570.2024.10635167
001034746 0247_ $$2WOS$$aWOS:001305705100064
001034746 037__ $$aFZJ-2024-07503
001034746 1001_ $$0P:(DE-Juel1)185083$$aRaimondo, Federico$$b0$$eCorresponding author
001034746 1112_ $$a2024 IEEE International Symposium on Biomedical Imaging (ISBI)$$cAthens$$d2024-05-27 - 2024-05-30$$wGreece
001034746 245__ $$aFastGPR: Divide-and-Conquer Technique in Neuroimaging Data Shortens Training Time and Improves Accuracy
001034746 260__ $$bIEEE$$c2024
001034746 29510 $$a2024 IEEE International Symposium on Biomedical Imaging (ISBI): [Proceedings]
001034746 300__ $$a1-4
001034746 3367_ $$2ORCID$$aCONFERENCE_PAPER
001034746 3367_ $$033$$2EndNote$$aConference Paper
001034746 3367_ $$2BibTeX$$aINPROCEEDINGS
001034746 3367_ $$2DRIVER$$aconferenceObject
001034746 3367_ $$2DataCite$$aOutput Types/Conference Paper
001034746 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1736237869_19348
001034746 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
001034746 500__ $$aISBN 979-8-3503-1333-8
001034746 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034746 588__ $$aDataset connected to CrossRef Conference
001034746 7001_ $$0P:(DE-Juel1)180946$$aAntonopoulos, Georgios$$b1
001034746 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b2
001034746 7001_ $$0P:(DE-Juel1)172843$$aPatil, Kaustubh R.$$b3
001034746 773__ $$a10.1109/ISBI56570.2024.10635167
001034746 8564_ $$uhttps://juser.fz-juelich.de/record/1034746/files/ISBI_24_fastGPR_V1.docx$$yRestricted
001034746 909CO $$ooai:juser.fz-juelich.de:1034746$$pVDB
001034746 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185083$$aForschungszentrum Jülich$$b0$$kFZJ
001034746 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180946$$aForschungszentrum Jülich$$b1$$kFZJ
001034746 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b2$$kFZJ
001034746 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b2
001034746 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172843$$aForschungszentrum Jülich$$b3$$kFZJ
001034746 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001034746 9141_ $$y2024
001034746 920__ $$lyes
001034746 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001034746 980__ $$acontrib
001034746 980__ $$aVDB
001034746 980__ $$acontb
001034746 980__ $$aI:(DE-Juel1)INM-7-20090406
001034746 980__ $$aUNRESTRICTED