Stefan Horst Sommer

Stefan Horst Sommer

Associate Professor


  1. 2020
  2. E-pub ahead of print

    Horizontal Flows and Manifold Stochastics in Geometric Deep Learning

    Sommer, Stefan Horst & Bronstein, A. M., 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Introduction

    Pennec, X., Sommer, Stefan Horst & Fletcher, T., 2020, Riemannian Geometric Statistics in Medical Image Analysis. Pennec, X., Sommer, S. & Fletcher, T. (eds.). Academic Press, p. xvii-xix

    Research output: Chapter in Book/Report/Conference proceedingPreface/postscriptResearchpeer-review

  4. Published

    Introduction to differential and Riemannian geometry

    Sommer, Stefan Horst, Fletcher, T. & Pennec, X., 2020, Riemannian Geometric Statistics in Medical Image. Pennec, X., Sommer, S. & Fletcher, T. (eds.). Academic Press, p. 3-37

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

  5. Published

    Probabilistic approaches to geometric statistics: Stochastic processes, transition distributions, and fiber bundle geometry

    Sommer, Stefan Horst, 2020, Riemannian Geometric Statistics in Medical Image. Pennec, X., Sommer, S. & Fletcher, T. (eds.). Academic Press, p. 377-416

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

  6. Published

    Riemannian Geometric Statistics in Medical Image Analysis

    Pennec, X. (ed.), Sommer, Stefan Horst (ed.) & Fletcher, T. (ed.), 2020, 1. ed. Academic Press. 636 p.

    Research output: Book/ReportBookResearchpeer-review

  7. Published

    Riemannian geometry on shapesand diffeomorphisms: Statistics via actions of the diffeomorphism group

    Marsland, S. & Sommer, Stefan Horst, 2020, Riemannian Geometric Statistics in Medical Image Analysis. Pennec, X., Sommer, S. & Fletcher, T. (eds.). Academic Press, p. 135-167

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

  8. 2019
  9. Published

    Generalizations of Ripley’s K-function with Application to Space Curves

    Sporring, Jon, Waagepetersen, R. P. & Sommer, Stefan Horst, Jun 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, 2019, Proceedings: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings. Springer, p. 731-742 (Lecture Notes in Computer Science, Vol. 11492).

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

  10. Published

    A Geometric Framework for Stochastic Shape Analysis

    Arnaudon, A., Holm, D. D. & Sommer, Stefan Horst, 2019, In : Foundations of Computational Mathematics. 19, 3, p. 653–701 49 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment

    Jorgensen, C. H. L., Moller, J. G., Sommer, Stefan Horst & Johannsson, H., 2019, In : IEEE Transactions on Power Systems. 34, 4, p. 2675-2684 10 p., 8645670.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    An Infinitesimal Probabilistic Model for Principal Component Analysis of Manifold Valued Data

    Sommer, Stefan Horst, 2019, In : Sankhya A. 81, 1, p. 37-62

    Research output: Contribution to journalJournal articleResearchpeer-review

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