Author

Wojciech Samek

Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteORCID 0000-0002-6283-3265Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 1 Assay:imaging· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Veronica WitteiD· 1 shared Arno VillringeriD· 1 shared Frauke BeyeriD· 1 shared Klaus‐Robert MülleriD· 1 shared Markus A. WenzeliD· 1 shared Markus LoeffleriD· 1 shared Nils StrodthoffiD· 1 shared Ole GoltermanniD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

A. Veronica WitteORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedJul 23, 2022

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

S. Hofmann, Frauke Beyer, Sebastian Lapuschkin…·A. Veronica Witte

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

61 citationstop 2%

humanimaging

Synthetic BiologyBioinformaticsPeer-reviewedJan 2, 2020

UDSMProt: Universal Deep Sequence Models for Protein Classification

Nils Strodthoff, Patrick Wagner, Markus A. Wenzel, Wojciech Samek

UDSMProt uses self-supervised language modeling to create a universal protein sequence model that outperforms task-specific methods in enzyme class prediction, gene ontology prediction, and remote homology detection.

190 citationstop 1%

protein sequencedeep learning