Author

Christopher J. Bailey

Aarhus UniversityORCID 0000-0003-3318-3344Unclaimed 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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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Eugenio Gutiérrez‐JiméneziD· 1 shared Jakob Udby BlicheriD· 1 shared Kim Ryun DrasbekiD· 1 shared Lasse KnudseniD· 1 shared Peng ZhangiD· 1 shared Signe Kirk FruekildeiD· 1 shared Torben E. LundiD· 1 shared Yan Tong YangiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperNeuroscience

Eugenio Gutiérrez‐JiménezORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedMar 11, 2023

Feasibility of 3T layer-dependent fMRI with GE-BOLD using NORDIC and phase regression

Lasse Knudsen, Christopher J. Bailey, Jakob Udby Blicher…·Torben E. Lund

This study demonstrates the feasibility of layer-dependent fMRI at 3T using NORDIC denoising and phase regression, achieving reliable layer profiles in the primary motor cortex.

34 citationstop 3%

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NeurosciencebioRxivPreprintOct 1, 2021

Capillary stall quantification from optical coherence tomography angiogram maximum intensity projections

Signe Kirk Fruekilde, Eugenio Gutiérrez‐Jiménez, Kim Ryun Drasbek, Christopher J. Bailey

The paper introduces a method to quantify transient capillary stalls in OCT angiograms using maximum intensity projections and provides open-source code for reproducible research.

2 citations

imagingstatistical model

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