Author

Hamed Y. Mesri

University Medical Center Utrecht

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1 Assay:multiome· 1

Frequent Co-Authors

Alexander LeemansiD· 2 shared Szabolcs DávidiD· 2 shared Aldo QuattroneiD· 1 shared Alessandro DaducciiD· 1 shared Alessia SaricaiD· 1 shared ALI RAZA KHANiD· 1 shared Alia Lemkaddem· 1 shared Anna Auría· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alexander LeemansORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 5, 2019

Statistical significance in DTI group analyses: How the choice of the estimator can inflate effect sizes

Szabolcs Dávid, Hamed Y. Mesri, Max A. Viergever, Alexander Leemans

This study shows that using ordinary linear least squares (OLLS) in diffusion tensor imaging (DTI) group analyses can inflate effect sizes and increase false positives compared to iterative weighted linear least squares (IWLLS).

3 citations

humanmultiome

𝕏 PostBluesky

NeuroscienceNature CommunicationsPeer-reviewedNov 1, 2017

Tractography-based connectomes are dominated by false-positive connections

Klaus Hermann Maier-Hein, Peter Neher, Jean‐Christophe Houde…·Maxime Descoteaux

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

1,341 citationstop 1%

humanstatistical model

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