Author

Sebastian Lapuschkin

Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteORCID 0000-0002-0762-7258Unclaimed 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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Organism:human· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Veronica WitteiD· 1 shared Arno VillringeriD· 1 shared Fabian HorstiD· 1 shared François HugiD· 1 shared Frauke BeyeriD· 1 shared Jeroen AelesiD· 1 shared Klaus‐Robert MülleriD· 1 shared Lilian LacourpailleiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

A. Veronica WitteORCID

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2 papers

Recent·Most cited

Towards the Interpretability of Deep Learning Models for Multi-modal Neuroimaging: Finding Structural Changes of the Ageing Brain

S. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus‐Robert Müller, Arno Villringer, Wojciech Samek, A. Veronica Witte

This paper uses deep learning to estimate brain age from MRI data and identifies structural brain changes associated with aging.

NeuroImage · Jul 23, 2022Peer-reviewedNeuroscience

Revealing the unique features of each individual her/his muscle activation signatures

Jeroen Aeles, Fabian Horst, Sebastian Lapuschkin, Lilian Lacourpaille, François Hug

This study identifies individual muscle activation signatures using EMG data and shows their consistency across tasks and days.

Journal of The Royal Society Interface · Jan 1, 2021Peer-reviewedNeuroscience