Author

Lars Hedrich

Goethe University FrankfurtORCID 0000-0002-4189-5360Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:statistical model· 1

Frequent Co-Authors

Florian Aul· 1 shared Lukas Krischker· 1 shared Marcel H. SchulziD· 1 shared Nikoletta KatsaouniiD· 1 shared Sascha Schmalhofer· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Florian Aul

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1 paper

Recent·Most cited

Energy efficient convolutional neural networks for arrhythmia detection

Nikoletta Katsaouni, Florian Aul, Lukas Krischker, Sascha Schmalhofer, Lars Hedrich, Marcel H. Schulz

This paper proposes an energy-efficient recurrent convolutional neural network for arrhythmia detection, showing that large CNNs are computationally redundant for this task.

Array · Jan 17, 2022Peer-reviewedBioinformatics