Author

Abi Fukami-Gartner

King's College LondonORCID 0000-0001-6825-9025Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Alena U. UusiD· 2 shared Daniel CrombiD· 2 shared Joseph V. HajnaliD· 2 shared Mary RutherfordiD· 2 shared Serena Jane CounselliD· 2 shared Alexandra F. BonthroneiD· 1 shared Alice DavidsoniD· 1 shared Ana A. BaburamaniiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Alena U. UusORCID

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2 papers

Recent·Most cited

NeuroscienceCerebral CortexPeer-reviewedMay 25, 2023

Comprehensive volumetric phenotyping of the neonatal brain in Down syndrome.

Abi Fukami-Gartner, Ana A. Baburamani, Ralica Dimitrova…·Mary Rutherford

This study uses MRI to compare brain volumes in neonates with Down syndrome to a control group, finding reduced whole brain volume in DS infants.

24 citationstop 3%

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 18, 2023

BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

Alena U. Uus, Vanessa Kyriakopoulou, Antonios Makropoulos…·Maria Deprez

The paper introduces a deep learning pipeline for automated fetal brain segmentation and volumetry, showing reduced need for manual refinement and agreement with manual segmentations in clinical cases.

42 citations

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