Stefan Horst Sommer
Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- 2024
- Published
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration
Bao, L., Lu, J., Ying, S. & Sommer, Stefan Horst, 2024, In: SIAM Journal on Imaging Sciences. 17, 2, p. 861-887Research output: Contribution to journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- Published
Long‐time existence of Brownian motion on configurations of two landmarks
Habermann, K., Harms, P. & Sommer, Stefan Horst, 2024, In: Bulletin of the London Mathematical Society. 56, 5, p. 1658-1679Research output: Contribution to journal › Journal article › Research › peer-review
- 2023
- 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 proceeding › Article in proceedings › Research › peer-review
- 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. 1325-1348Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions
Arnaudon, A., Van Der Meulen, F., Schauer, M. & Sommer, Stefan Horst, 2022, In: SIAM Journal on Imaging Sciences. 15, 1, p. 293-323Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Discrete-Time Observations of Brownian Motion on Lie Groups and Homogeneous Spaces: Sampling and Metric Estimation
Jensen, M. H., Joshi, S. & Sommer, Stefan Horst, 2022, In: Algorithms. 15, 8, p. 1-17 290.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Mean Estimation on the Diagonal of Product Manifolds
Jensen, M. H. & Sommer, Stefan Horst, 2022, In: Algorithms. 15, 3, p. 1-16 92.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results
Myers, A., Sanborn, S., Donnat, C. D. & Sommer, Stefan Horst, 2022. 8 p.Research output: Contribution to conference › Paper › Research
- Published
Atlas generative models and geodesic interpolation
Stolberg-Larsen, J. & Sommer, Stefan Horst, 2022, In: Image and Vision Computing. 122, 23 p., 104433.Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
Stochastic Shape Analysis
Arnaudon, A., Holm, D. D. & Sommer, Stefan Horst, 2021, Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision. Chen, K., Schönlieb, C-B., Tai, X-C. & Younces, L. (eds.). Springer, p. 1-24 (Springer Reference).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings
Feragen, A. (ed.), Sommer, Stefan Horst (ed.), Schnabel, J. (ed.) & Nielsen, Mads (ed.), 2021, Springer. 782 p. (Lecture Notes in Computer Science, Vol. 12729).Research output: Book/Report › Anthology › Research › peer-review
- Published
Diffusion Means and Heat Kernel on Manifolds
Hansen, P., Eltzner, B. & Sommer, Stefan Horst, 2021, Geometric Science of Information: 5th International Conference, GSI 2021, Paris, France, July 21–23, 2021, Proceedings. Springer, p. 111-118 (Lecture Notes in Computer Science, Vol. 12829).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Currents and K-functions for Fiber Point Processes
Hansen, P. E. H., Waagepetersen, R. P., Svane, A. M., Sporring, Jon, Stephensen, Hans Jacob Teglbjærg, Hasselholt, S. & Sommer, Stefan Horst, 2021, Geometric Science of Information: 5th International Conference, GSI 2021, Paris, France, July 21–23, 2021, Proceedings. Nielsen, F. & Barbaresco, F. (eds.). Springer, p. 127-134 (Lecture Notes in Computer Science, Vol. 12829).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Currents and K-functions for Fiber Point Processes
Hansen, P. E. H., Waagepetersen, R. P., Svane, A. M., Sporring, Jon, Stephensen, Hans Jacob Teglbjærg, Hasselholt, S. & Sommer, Stefan Horst, 2021, arXiv preprint. 12 p.Research output: Book/Report › Report › Research
- Published
Bridge Simulation and Metric Estimation on Lie Groups
Højgaard Jensen, M., Joshi, S. & Sommer, Stefan Horst, 2021, Geometric Science of Information: 5th International Conference, GSI 2021, Paris, France, July 21–23, 2021, Proceedings. Springer, p. 430-438 (Lecture Notes in Computer Science, Vol. 12829).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Latent Space Geometric Statistics
Kühnel, L., Fletcher, T., Joshi, S. & Sommer, Stefan Horst, 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer, p. 163-178 16 p. (Lecture Notes in Computer Science, Vol. 12666 ).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
Sommer, Stefan Horst & Bronstein, A. M., 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 2, p. 811 - 822Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Stochastic flows and shape bridges
Sommer, Stefan Horst, Schauer, M. & Meulen, F. V. D., 2021, Statistics of Stochastic Differential Equations on Manifolds and Stratified Spaces (hybrid meeting). Mathematisches Forschungsinstitut Oberwolfach, p. 18-21 (Oberwolfach Reports; No. 48, Vol. 2021).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- 2020
- 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. 135-167Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- 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-xixResearch output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research › peer-review
- 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/Report › Book › Research › peer-review
- 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. 3-37Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- 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. 377-416Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- 2019
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Book chapter › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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. 8905466Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
An Infinitesimal Probabilistic Model for Principal Component Analysis of Manifold Valued Data
Sommer, Stefan Horst, 2019, In: Sankhya A. 81, 1, p. 37-62Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 288-295Research output: Contribution to journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 2018
- 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. 953-967Research output: Contribution to journal › Journal article › Research › peer-review
- 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/Report › Anthology › Research › peer-review
- 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 conference › Conference abstract for conference › Research › peer-review
- 2017
- 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 proceeding › Article in proceedings › Research › peer-review
- 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/Report › Anthology › Research › peer-review
- Published
Most Likely Separation of Intensity and Warping Effects in Image Registration
Kuhnel, L., Sommer, Stefan Horst, Pai, A. & Raket, L. L., 2017, In: S I A M Journal on Imaging Sciences. 10, 2, p. 578-601Research output: Contribution to journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
Separating shape and intensity variation in images
Kühnel, L., Sommer, Stefan Horst, Pai, A. S. U. & Raket, L. L., 2017, In: SIAM News. 50, 8, p. 12 1 p.Research output: Contribution to journal › Journal article › Research
- Published
Stochastic development regression on non-linear manifolds
Kühnel, L. & Sommer, Stefan Horst, 2017, Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Springer, p. 53-64 12 p. (Lecture notes in computer science, Vol. 10265).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Stochastic development regression using method of moments
Kühnel, L. & Sommer, Stefan Horst, 2017, Geometric Science of Information: Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings. Nielsen, F. & Barbaresco, F. (eds.). Springer, p. 3-11 9 p. (Lecture notes in computer science, Vol. 10589).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Math in the cabin - shape analysis workshop in Bad Gastein
Research output: Book/Report › Report › Research
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Reduction by Lie Group symmetries in diffeomorphic image registration and deformation modelling
Research output: Contribution to journal › Journal article › Research › peer-review
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Proceedings of Math on the rocks: shape analysis workshop in Grundsund
Research output: Book/Report › Book › Research › peer-review
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