Author

Gerhard S. Drenthen

Maastricht University Medical CentreORCID 0000-0002-7708-8501Unclaimed 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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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:statistical model· 2 Organism:human· 1

Frequent Co-Authors

Jacobus F.A. JanseniD· 2 shared Walter H. BackesiD· 2 shared Abraham B. BeckersiD· 1 shared Benedikt Andreas PoseriD· 1 shared Coen D.A. StehouweriD· 1 shared Dániel KeszthelyiiD· 1 shared David E.J. LindeniD· 1 shared Jennifer Monereo SáncheziD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Jacobus F.A. JansenORCID

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2 papers

Recent·Most cited

Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T

Abraham B. Beckers, Gerhard S. Drenthen, Jacobus F.A. Jansen, Walter H. Backes, Benedikt Andreas Poser, Dániel Keszthelyi

This study compares denoising methods for multi-echo 7T fMRI data, finding that ME-ICA combined with aCompCor and ICA-AROMA is highly effective for noise reduction and signal preservation.

NeuroImage · Sep 3, 2023Peer-reviewedNeuroscience

Quality control strategies for brain MRI segmentation and parcellation: practical approaches and recommendations - insights from The Maastricht Study

Jennifer Monereo Sánchez, Joost J.A. de Jong, Gerhard S. Drenthen, Magdalena Beran, Walter H. Backes, Coen D.A. Stehouwer, Miranda T. Schram, David E.J. Linden, Jacobus F.A. Jansen

This study compares manual and automated quality control strategies for brain MRI segmentation, finding that Euler numbers and MRIQC provide reliable and efficient methods to reduce measurement error.

NeuroImage · May 15, 2021Peer-reviewedNeuroscience