Stefan Horst Sommer

Stefan Horst Sommer

Professor


  1. 2020
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 2019
  8. 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

  9. 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

  10. 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

  11. 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

  12. Published

    Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring

    Jørgensen, C. H. L., Karatas, B. C., Jóhannsson, H. & Sommer, Stefan Horst, 2019, Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. IEEE, 5 p. 8905466

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

  13. Published

    Differential geometry and stochastic dynamics with deep learning numerics

    Kühnel, L., Sommer, Stefan Horst & Arnaudon, A., 2019, In: Applied Mathematics and Computation. 356, p. 411-437 27 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., Sørensen, L., Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 p.

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

  15. Published

    Reduce-factor-solve for fast Thevenin impedance computation and network reduction

    Sommer, Stefan Horst, Aabrandt, A. & Jóhannsson, H., 2019, In: IET Generation, Transmission and Distribution. 13, 2, p. 288-295

    Research output: Contribution to journalJournal articleResearchpeer-review

  16. Published

    Simulation of Conditioned Diffusions on the Flat Torus

    Jensen, M. H., Mallasto, A. & Sommer, Stefan Horst, 2019, Geometric Science of Information - 4th International Conference, GSI 2019, Proceedings. Nielsen, F. & Barbaresco, F. (eds.). Springer VS, p. 685-694 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11712 LNCS).

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

  17. Published

    Stochastic Metamorphosis with Template Uncertainties

    Arnaudon, A., Holm, D. D. & Sommer, Stefan Horst, 2019, Mathematics of Shapes and Applications. World Scientific, Vol. 37. p. 75-96 22 p. (Lecture Notes Series, Institute for Mathematical Sciences, Vol. 37).

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

  18. 2018
  19. Published

    Biomedical Image Registration: 8th International Workshop, WBIR 2018, Leiden, The Netherlands, June 28-29, 2018, Proceedings

    Klein, S. (ed.), Staring, M. (ed.), Durrleman, S. (ed.) & Sommer, Stefan Horst (ed.), 2018, Springer. 127 p. (Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol. 10883).

    Research output: Book/ReportAnthologyResearchpeer-review

  20. Published

    Brain Segmentation in Rodent MR-Images Using Convolutional Neural Networks

    Sigurdsson, B., Darkner, Sune, Sommer, Stefan Horst, Mortensen, K. N., Sanggaard, S., Kostrikov, S. & Nedergaard, Maiken, 2018.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  21. Published

    String Methods for Stochastic Image and Shape Matching

    Arnaudon, A., Holm, D. & Sommer, Stefan Horst, 2018, In: Journal of Mathematical Imaging and Vision. 60, 6, p. 953-967

    Research output: Contribution to journalJournal articleResearchpeer-review

  22. 2017
  23. Published

    Hippocampal texture predicts rate of cognitive decline in mild cognitive impairment

    Pai, A. S. U., Pillai, J. A., Sørensen, L., Darkner, Sune, Sommer, Stefan Horst & Nielsen, Mads, Jul 2017, In: Alzheimer's & Dementia. 13, 7, supplement, p. P1356 1 p., P4-225.

    Research output: Contribution to journalConference abstract in journalResearch

  24. Published

    A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images

    Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Kühnel, L., Darkner, Sune, Sørensen, L. & Nielsen, Mads, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 151-159 9 p. (Lecture notes in computer science, Vol. 10081).

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

  25. Published

    A stochastic large deformation model for computational anatomy

    Arnaudon, A., Holm, D. D., Pai, A. S. U. & Sommer, Stefan Horst, 2017, Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Springer, p. 571-582 12 p. (Lecture notes in computer science, Vol. 10265).

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

  26. Published

    Bridge simulation and metric estimation on landmark manifolds

    Sommer, Stefan Horst, Arnaudon, A., Kühnel, L. & Joshi, S., 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A., Parisot, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 79-91 13 p. (Lecture notes in computer science, Vol. 10551).

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

  27. Published

    Characterization of errors in deep learning-based brain MRI segmentation

    Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.

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

  28. Published

    Computational anatomy in Theano

    Kühnel, L. & Sommer, Stefan Horst, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 164-176 13 p. (Lecture notes in computer science, Vol. 10551).

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

  29. Published

    Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings

    Cardoso, M. J. (ed.), Arbel, T. (ed.), Ferrante, E. (ed.), Pennec, X. (ed.), Dalca, A. V., Parisot, S. (ed.), Joshi, S. (ed.), Batmanghelich, N. K. (ed.), Sotiras, A. (ed.), Nielsen, Mads (ed.), Sabuncu, M. R. (ed.), Fletcher, T. (ed.), Shen, L. (ed.), Durrleman, S. (ed.) & Sommer, Stefan Horst (ed.), 2017, Springer. 248 p. (Lecture notes in computer science, Vol. 10551).

    Research output: Book/ReportAnthologyResearchpeer-review

ID: 9743396