Author

Frederik Großerueschkamp

Ruhr University BochumORCID 0000-0002-0710-6014Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Klaus Bernhard GerwertiD· 2 shared Alexandra Graff-MeyeriD· 1 shared Amanda J. LewisiD· 1 shared Andreas A. Staempfli· 1 shared Angela M. T. IngrassiaiD· 1 shared Anne De Paepe· 1 shared Annemieke J.M. RozemülleriD· 1 shared Arne RaulfiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Klaus Bernhard GerwertORCID

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2 papers

Recent·Most cited

Lewy pathology in Parkinson's disease consists of a crowded organellar, membranous medley

Sarah H. Shahmoradian, Amanda J. Lewis, Christel Genoud, Jürgen Hench, Tim E. Moors, Paula P. Navarro, Daniel Castaño‐Díez, Gabriel Schweighauser, Alexandra Graff-Meyer, Kenneth N. Goldie, Rosmarie Sütterlin, Evelien Huisman, Angela M. T. Ingrassia, Yvonne de Gier, Annemieke J.M. Rozemüller, , Matthias E. Lauer

The paper uses high-resolution imaging and biophysical methods to show that Lewy pathology in Parkinson's disease consists mainly of a crowded membranous medley of vesicles and dysmorphic organelles, with only a small fraction containing proteinaceous filaments.

Nature Neuroscience · Jun 24, 2019Peer-reviewedNeuroscience

Deep representation learning for domain adaptable classification of infrared spectral imaging data

Arne Raulf, Joshua Butke, Claus Küpper, Frederik Großerueschkamp, Klaus Bernhard Gerwert, Axel Mosig A

This paper develops a deep learning method for preprocessing infrared spectral imaging data using stacked contractive autoencoders, enabling domain-adaptable classification across different tissue types.

Bioinformatics · Jun 13, 2019Peer-reviewedBioinformatics