Prof. Dr. Bernhard Schmitzer

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  • 2024 | Preprint
    ​ ​Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels​
    Beier, F.; Bi, H.; Sarrazin, C.; Schmitzer, B.  & Steidl, G.​ (2024)
    ​Details 
  • 2024 | Preprint
    ​ ​Cytoarchitecture of SARS-CoV-2 infected hamster lungs by X-ray phase contrast tomography: imaging workflow and classification for drug testing​
    Reichmann, J. ; Sarrazin, C.; Schmale, S.; Blaurock, C.; Balkema-Buschmann, A.; Schmitzer, B.  & Salditt, T.​ (2024). DOI: https://doi.org/10.1101/2024.01.21.576083 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​3d Virtual Histology Reveals Pathological Alterations of Cerebellar Granule Cells in Multiple Sclerosis​
    Frost, J.; Schmitzer, B. ; Töpperwien, M.; Eckermann, M.; Franz, J.; Stadelmann, C.   & Salditt, T. ​ (2023) 
    Neuroscience,.​ DOI: https://doi.org/10.1016/j.neuroscience.2023.04.002 
    ​Details  DOI  PMID  PMC 
  • 2023 | Preprint
    ​ ​Linearized optimal transport on manifolds​
    Sarrazin, C.& Schmitzer, B. ​ (2023). DOI: https://doi.org/10.48550/ARXIV.2303.13901 
    ​Details  DOI 
  • 2023 | Preprint
    ​ ​Manifold learning in Wasserstein space​
    Hamm, K.; Moosmüller, C.; Schmitzer, B.  & Thorpe, M.​ (2023). DOI: https://doi.org/10.48550/ARXIV.2311.08549 
    ​Details  DOI 

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Project:  SFB 1456 | Cluster A | A03: Dimensionality reduction and regression in Wasserstein space for quantitative 3D histology

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