Author

Yassine Taoudi-Benchekroun

King's College LondonORCID 0000-0003-0795-7625Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andreas SchuhiD· 1 shared Andrew T. M. ChewiD· 1 shared Anthony David EdwardsiD· 1 shared Anthony N. PriceiD· 1 shared Daan ChristiaensiD· 1 shared Dafnis BatalléiD· 1 shared Daniel RueckertiD· 1 shared Emer HughesiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Andreas SchuhORCID

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1 paper

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedMay 16, 2022

Predicting age and clinical risk from the neonatal connectome

Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu…·Dafnis Batallé

This paper uses machine learning to predict neonatal brain age and clinical risk from structural connectomes, finding thalamocortical connections are key predictors of developmental outcomes.

33 citations

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