Author

Helene Hollmann

Universität Ulm

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 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Birgit LissiD· 1 shared Christina Pötschke· 1 shared Dominik Wuttke· 1 shared Jean‐Marc GoaillardiD· 1 shared Johanna Duda· 1 shared Johanna Wiemer· 1 shared Jorge Ramírez‐FrancoiD· 1 shared Julia Benkert· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Birgit LissORCID

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1 paper

Recent·Most cited

Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra.

Nicole Burkert, Shoumik Roy, Max Häusler, Dominik Wuttke, Sonja Müller, Johanna Wiemer, Helene Hollmann, Marvin Oldrati, Jorge Ramírez‐Franco, Julia Benkert, Michael Fauler, Johanna Duda, Jean‐Marc Goaillard, Christina Pötschke, Moritz Münchmeyer, , Birgit Liss

The paper uses deep learning to identify a DAT-negative subpopulation of dopaminergic neurons in the lateral substantia nigra in mouse and human brain sections.

Communications Biology · Nov 10, 2023Peer-reviewedNeuroscience