Author

Sergio Benini

University of BresciaORCID 0000-0003-2152-9424Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Lars F. MuckliiD· 2 shared Michele SvaneraiD· 2 shared Alberto SignoroniiD· 1 shared Dennis BontempiiD· 1 shared Gal RaziD· 1 shared Giancarlo ValenteiD· 1 shared Mattia SavardiiD· 1 shared Rainer GoebeliD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Lars F. MuckliORCID

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2 papers

Recent·Most cited

NeuroscienceHuman Brain MappingPeer-reviewedOct 1, 2021

CEREBRUM-7T: Fast and Fully-volumetric Brain Segmentation of 7 Tesla MR Volumes

Michele Svanera, Sergio Benini, Dennis Bontempi, Lars F. Muckli

CEREBRUM-7T is a fast, fully-volumetric brain segmentation method for 7T MRI that outperforms its training labels and is suitable for neuroimaging studies.

31 citations

humanimaging

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NeuroscienceJournal of Neuroscience MethodsPeer-reviewedOct 1, 2019

Transfer learning of deep neural network representations for fMRI decoding

Michele Svanera, Mattia Savardi, Sergio Benini…·Giancarlo Valente

This paper transfers deep neural network features to fMRI data to improve decoding performance by reconstructing CNN features from imaging data.

27 citations

statistical modeldimensionality reduction

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