Author

Michaël Bernier

Harvard UniversityORCID 0000-0002-5509-0977Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Hendrik MatterniD· 2 shared Jon̈athan R. PolimeniiD· 2 shared Oliver SpeckiD· 2 shared Saskia BollmanniD· 2 shared Daniel Joseph ParkiD· 1 shared Fernanda Lenita RibeiroiD· 1 shared Francesco CognolatoiD· 1 shared Markus BarthiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersNeuroscience

Hendrik MatternORCID

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2 papers

Recent·Most cited

NeuroscienceAperture NeuroPeer-reviewedSep 12, 2024

VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography Data

Marshall Xu, Fernanda Lenita Ribeiro, Markus Barth…·Saskia Bollmann

VesselBoost is a Python tool for segmenting small blood vessels in human MRA data using deep learning and data augmentation to overcome labeling challenges.

8 citationstop 2%

humanimaging

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NeuroscienceeLifePeer-reviewedApr 29, 2022

Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography

Saskia Bollmann, Hendrik Mattern, Michaël Bernier…·Jon̈athan R. Polimeni

This study demonstrates that high-resolution 7T time-of-flight MRI can image pial arteries in vivo, showing that resolution, not blood flow speed, limits visualization of these vessels.

67 citationstop 1%

humanimaging

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