Author

Reinhard Schulz

University of Lübeck

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Alessa PabstiD· 1 shared Alex PalumboiD· 1 shared Amir Madany MamloukiD· 1 shared Charlotte FloryiD· 1 shared Christopher Kren· 1 shared Johannes BoltzeiD· 1 shared Lara HeckmanniD· 1 shared Luisa Bartram· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alessa PabstORCID

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1 paper

Recent·Most cited

Deep learning to decipher the progression and morphology of axonal degeneration

Alex Palumbo, Philipp Grüning, Svenja Kim Landt, Lara Heckmann, Luisa Bartram, Alessa Pabst, Charlotte Flory, Maulana Ikhsan, Sören Pietsch, Reinhard Schulz, Christopher Kren, Norbert Koop, Johannes Boltze, Amir Madany Mamlouk, Marietta Zille

This study uses a deep learning tool to analyze axonal degeneration patterns in cortical neurons, revealing morphological heterogeneity and progression dynamics.

Cells · Sep 25, 2021Peer-reviewedNeuroscience