Author

Loïc Tetrel

Institut Universitaire de Gériatrie de MontréalORCID 0000-0002-1501-331XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Pierre BelleciD· 3 shared Alan Charles EvansiD· 1 shared AmanPreet BadhwariD· 1 shared Arnaud BoréiD· 1 shared Bertrand ThirioniD· 1 shared Camille Beaudoin· 1 shared Désirée LussieriD· 1 shared Hao-Ting WangiD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersNeuroscience

Pierre BellecORCID

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3 papers

Recent·Most cited

Resting-state functional MRI derivatives: A dataset derived from the The Comprehensive Assessment of Neurodegeneration and Dementia Study

Natasha Clarke, Hao-Ting Wang, Désirée Lussier, Arnaud Boré, Loïc Tetrel, Camille Beaudoin, Samir Das, Randi Pilon, Alan Charles Evans, Howard Mark Chertkow, Roger A. Dixon, AmanPreet Badhwar, Simon Duchesne, Pierre Bellec

The paper provides resting-state functional MRI derivatives from the COMPASS-ND study to aid in neurodegenerative disease research.

bioRxiv · Oct 14, 2025 · PreprintNeuroscience

Alignment massive of auditory individual artificial networks with fMRI brain data leads to generalizable improvements in brain encoding and downstream tasks

Maëlle Freteault, Maximilien Le Clei, Loïc Tetrel, Pierre Bellec, Nicolas Farrugia

The paper aligns auditory artificial neural networks with individual brain fMRI data, improving brain encoding and downstream auditory tasks, especially with limited training data.

Imaging Neuroscience · Jan 1, 2025Peer-reviewedNeuroscience

Functional Annotation of Human Cognitive States using Deep Graph Convolution

Yu Zhang, Loïc Tetrel, Bertrand Thirion, Pierre Bellec

This paper develops a multidomain brain decoder to identify cognitive states from fMRI data with high accuracy across multiple cognitive domains.

NeuroImage · Feb 15, 2021Peer-reviewedNeuroscience