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dc.contributor.authorde Macedo Rodrigues, Katyucia
dc.contributor.authorBen-Avi, Emma
dc.contributor.authorSliva, Danielle D.
dc.contributor.authorChoe, Myong-sun
dc.contributor.authorDrottar, Marie
dc.contributor.authorWang, Ruopeng
dc.contributor.authorFischl, Bruce
dc.contributor.authorGrant, P. Ellen
dc.contributor.authorZollei, Lilla
dc.date.accessioned2015-04-08T17:32:41Z
dc.date.available2015-04-08T17:32:41Z
dc.date.issued2015-02
dc.date.submitted2014-12
dc.identifier.issn1662-5161
dc.identifier.urihttp://hdl.handle.net/1721.1/96435
dc.description.abstractWe present a detailed description of a set of FreeSurfer compatible segmentation guidelines tailored to infant MRI scans, and a unique data set of manually segmented acquisitions, with subjects nearly evenly distributed between 0 and 2 years of age. We believe that these segmentation guidelines and this dataset will have a wide range of potential uses in medicine and neuroscience.en_US
dc.description.sponsorshipEunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant 1K99HD061485-01A1)en_US
dc.description.sponsorshipEunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant R00 HD061485-03)en_US
dc.description.sponsorshipRalph Schlaeger Fellowshipen_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (1R01EB014947-01)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (K23 NS42758-01)en_US
dc.description.sponsorshipNational Center for Research Resources (U.S.) (P41-RR14075)en_US
dc.description.sponsorshipNational Center for Research Resources (U.S.) (U24 RR021382)en_US
dc.description.sponsorshipNational Institutes of Health. National Institute for Biomedical Imaging and Bioengineering (R01EB006758)en_US
dc.description.sponsorshipNational Institute on Aging (AG022381)en_US
dc.description.sponsorshipNational Institute on Aging (5R01AG008122-22)en_US
dc.description.sponsorshipNational Institute of Neurological Disorders and Stroke (U.S.) (R01 NS052585-01)en_US
dc.description.sponsorshipNational Institute of Neurological Disorders and Stroke (U.S.) (1R21NS072652-01)en_US
dc.description.sponsorshipNational Institute of Neurological Disorders and Stroke (U.S.) (1R01NS070963)en_US
dc.description.sponsorshipNational Center for Research Resources (U.S.) (Shared Instrumentation Grant 1S10RR023401)en_US
dc.description.sponsorshipNational Center for Research Resources (U.S.) (Shared Instrumentation Grant 1S10RR019307)en_US
dc.description.sponsorshipNational Center for Research Resources (U.S.) (Shared Instrumentation Grant 1S10RR023043)en_US
dc.description.sponsorshipEllison Medical Foundationen_US
dc.description.sponsorshipNational Institutes of Health. Blueprint for Neuroscience Research (5U01-MH093765)en_US
dc.description.sponsorshipHuman Connectome Projecten_US
dc.language.isoen_US
dc.publisherFrontiers Research Foundationen_US
dc.relation.isversionofhttp://dx.doi.org/10.3389/fnhum.2015.00021en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceElsevieren_US
dc.titleA FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age rangeen_US
dc.typeArticleen_US
dc.identifier.citationDe Macedo Rodrigues, Katyucia, Emma Ben-Avi, Danielle D. Sliva, Myong-sun Choe, Marie Drottar, Ruopeng Wang, Bruce Fischl, Patricia E. Grant, and Lilla Zollei. “A FreeSurfer-Compliant Consistent Manual Segmentation of Infant Brains Spanning the 0-2 Year Age Range.” Frontiers in Human Neuroscience 9 (February 18, 2015).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorFischl, Bruceen_US
dc.relation.journalFrontiers in Human Neuroscienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsde Macedo Rodrigues, Katyucia; Ben-Avi, Emma; Sliva, Danielle D.; Choe, Myong-sun; Drottar, Marie; Wang, Ruopeng; Fischl, Bruce; Grant, Patricia E.; Zollei, Lillaen_US
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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