Stefan Horst Sommer

Stefan Horst Sommer

Professor


  1. 2024
  2. E-pub ahead of print

    Long‐time existence of Brownian motion on configurations of two landmarks

    Habermann, K., Harms, P. & Sommer, Stefan Horst, 2024, (E-pub ahead of print) In: Bulletin of the London Mathematical Society.

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Most Probable Flows for Kunita SDEs

    Grong, E. & Sommer, Stefan Horst, 2024, In: Applied Mathematics and Optimization. 89, 2, 15 p., 44.

    Research output: Contribution to journalJournal articlepeer-review

  4. E-pub ahead of print

    Most Probable Paths for Anisotropic Brownian Motions on Manifolds

    Grong, E. & Sommer, Stefan Horst, 2024, (E-pub ahead of print) In: Foundations of Computational Mathematics. 33 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. 2023
  6. Published

    A Function Space Perspective on Stochastic Shape Evolution

    Baker, Elizabeth Louise, Besnier, T. & Sommer, Stefan Horst, 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J-K. (eds.). Springer, p. 278-292 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13886 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Diffusion means in geometric spaces

    Eltzner, B., Hansen, P. E. H., Huckemann, S. F. & Sommer, Stefan Horst, 2023, In: Bernoulli. 29, 4, p. 3141-3170 30 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    Geometry of sample spaces

    Harms, P., Michor, P. W., Pennec, X. & Sommer, Stefan Horst, 2023, In: Differential Geometry and its Application. 90, 29 p., 102029.

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Nielsen, Mads, Sommer, Stefan Horst & Pai, A. S. U., 2023, Medical Applications with Disentanglements : First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, p. 49-58 (Lecture Notes in Computer Science, Vol. 13823).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff

    Christgau, Alexander Mangulad, Arnaudon, A. & Sommer, Stefan Horst, 2023, In: Journal of Mathematical Imaging and Vision. 65, 4, p. 563-576 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. Published

    Stochastic Shape Analysis

    Arnaudon, A., Holm, D. & Sommer, Stefan Horst, 2023, Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision. Springer, p. 1325-1348

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  12. Published

    Tangent Phylogenetic PCA

    Pedersen, Morten Akhøj, Pennec, X. & Sommer, Stefan Horst, 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J-K. (eds.). Springer, p. 77-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13886 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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