Author

Hugo Fluhr

Centre Hospitalier Universitaire Vaudois

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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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Patric HagmanniD· 2 shared Yasser Alemán‐GómeziD· 2 shared David PascucciiD· 1 shared Gijs PlompiD· 1 shared Jagruti H. PateliD· 1 shared Jérôme YerlyiD· 1 shared Joan Rué‐QueraltiD· 1 shared Katharina GlombiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Patric HagmannORCID

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2 papers

Recent·Most cited

Large-scale comparative analysis reveals top graph signal processing features for subject identification

Thomas A. W. Bolton, Mikkel Schöttner, Jagruti H. Patel, Hugo Fluhr, Yasser Alemán‐Gómez, Patric Hagmann

This paper identifies optimal graph signal processing features for subject identification through large-scale comparative analysis of parameter choices and feature types.

bioRxiv · Aug 20, 2025 · PreprintNeuroscience

Connectome spectrum electromagnetic tomography: a method to reconstruct electrical brain source-networks at high-spatial resolution

Joan Rué‐Queralt, Hugo Fluhr, Sébastien Tourbier, Yasser Alemán‐Gómez, David Pascucci, Jérôme Yerly, Katharina Glomb, Gijs Plomp, Patric Hagmann

This paper introduces CSET, a method that reconstructs electrical brain source-networks with high spatial resolution using diffusion MRI and EEG data.

Human Brain Mapping · Mar 23, 2024Peer-reviewedNeuroscience