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CEREBRuM: a 3T MRI segmentation tool

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OpenNeuro2019-09-26 更新2026-03-14 收录
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https://openneuro.org/datasets/ds002207
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The dataset is composed by 7 subjects, scanned at the Centre for Cognitive Neuroimaging (CCNi) at the Institute of Neuroscience and Psychology, University of Glasgow. These data serve as testing dataset for the paper: Bontempi, D., Benini, S., Signoroni, A., Svanera, M., & Muckli, L. (2020). CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. Medical Image Analysis, 101688. For every subject, two folders are provided, containing: anat/ * the anatomical (defaced) derivatives/ * two segmentations A and B (segmentations/), with FreeSurfer and Cerebrum segmentations respectively * with the slices used for the behavioural (slices/)
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2019-09-26
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