Stefan Horst Sommer
Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- Published
The Development of Pubertal Gynaecomastia and the Association to Endogenous Hormones, Growth, and Body Composition
Mieritz, M. G., Juul, A., Raket, L. L., Hagen, C. P., Nielsen, J. E., Talman, M. M., Petersen, Jørgen Holm, Sommer, Stefan Horst, Main, Katharina Maria, Jørgensen, N., Sørensen, K., Aksglaede, L., Mouritsen, Annette Korsholm, Hilsted, L. & Andersson, A. M., 2017, In: Birth Defects Research. 109, 9, p. 637 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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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
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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
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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
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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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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
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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
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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
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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
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Stepwise inverse consistent Euler’s scheme for diffeomorphic image registration
Pai, A. S. U., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L., Sporring, Jon & Nielsen, Mads, 2014, Biomedical Image Registration: 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings. Ourselin, S. & Modat, M. (eds.). Springer, p. 223-230 8 p. (Lecture notes in computer science, Vol. 8545).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Sparsity and scale: compact representations of deformation for diffeomorphic registration
Sommer, Stefan Horst, Nielsen, Mads & Pennec, X., 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). IEEE, p. 217-224 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Sparse multi-scale diffeomorphic registration: the kernel bundle framework
Sommer, Stefan Horst, Lauze, Francois Bernard, Nielsen, Mads & Pennec, X., 2013, In: Journal of Mathematical Imaging and Vision. 46, 3, p. 292-308 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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Serum AMH levels are lower in healthy boys who develop pubertal gynaecomastia
Mieritz, M. G., Hagen, C. P., Almstrup, Kristian, Petersen, Jørgen Holm, Raket, L. L., Sommer, Stefan Horst & Juul, A., 2015, In: Hormone Research in Paediatrics. 84, Supplement 1, p. 290-291 2 p., P2-526.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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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
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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
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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
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Reduction by Lie Group symmetries in diffeomorphic image registration and deformation modelling
Sommer, Stefan Horst & Jacobs, H. O., 2015, In: Symmetry. 7, 2, p. 599-624 26 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
Real-time thevenin impedance computation
Sommer, Stefan Horst & Johannsson, H., 2013, Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES. IEEE, p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Promoting active participation in computer science lectures
Sommer, Stefan Horst, 2014, Improving university science teaching and learning: pedagogical projects 2014. Ulriksen, L. & Sølberg, J. (eds.). Department of Science Education, University of Copenhagen, p. 209-222 14 p. (Improving University Science Teaching and Learning - Pedagogical Projects; No. 1-2, Vol. 7).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015)
Pennec, X. (ed.), Joshi, S. (ed.), Nielsen, Mads (ed.), Fletcher, T. P. (ed.), Durrleman, S. (ed.) & Sommer, Stefan Horst (ed.), 2015, INRIA. 173 p.Research output: Book/Report › Anthology › Research
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Proceedings of the Fourth International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Biological Shape Variability Modeling (MFCA 2013), Nagoya, Japan
Pennec, X. (ed.), Joshi, S. (ed.), Nielsen, Mads (ed.), Fletcher, T. P. (ed.), Durrleman, S. (ed.) & Sommer, Stefan Horst (ed.), 2013, INRIA. 134 p.Research output: Book/Report › Book › Research › peer-review
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Proceedings of Math on the rocks: shape analysis workshop in Grundsund
Modin, K. (ed.) & Sommer, Stefan Horst (ed.), 2015, Chalmers tekniska högskola. 42 p.Research output: Book/Report › Book › Research › peer-review
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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
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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
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Optimization over geodesics for exact principal geodesic analysis
Sommer, Stefan Horst, Lauze, Francois Bernard & Nielsen, Mads, 2014, In: Advances in Computational Mathematics. 40, 2, p. 283-313 31 p.Research output: Contribution to journal › Journal article › Research › peer-review
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On restricting planar curve evolution to finite dimensional implicit subspaces with non-Euclidean metric
Tatu, A. J., Lauze, Francois Bernard, Sommer, Stefan Horst & Nielsen, Mads, 2010, In: Journal of Mathematical Imaging and Vision. 38, 3, p. 226-240 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Natural metrics and least-committed priors for articulated tracking
Hauberg, S., Sommer, Stefan Horst & Steenstrup Pedersen, Kim, 2012, In: Image and Vision Computing. 30, 6-7, p. 453-461 9 p.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
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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
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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
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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
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Modelling anisotropic covariance using stochastic development and sub-Riemannian frame bundle geometry
Sommer, Stefan Horst & Svane, A. M., 2017, In: Journal of Geometric Mechanics. 9, 3, p. 391-410 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Math in the cabin - shape analysis workshop in Bad Gastein
Bauer, M., Bruveris, M., Harms, P., Khesin, B., Marsland, S., Michor, P., Modin, K., Müller, O., Pennec, X., Sommer, Stefan Horst & Vialard, F., 2014, Brunel University London. 29 p.Research output: Book/Report › Report › Research
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Manifold valued statistics, exact principal geodesic analysis and the effect of linear approximations
Sommer, Stefan Horst, Lauze, Francois Bernard, Hauberg, S. & Nielsen, Mads, 2010, Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI. Daniilidis, K., Maragos, P. & Paragios, N. (eds.). Springer, Vol. Part VI. p. 43-56 14 p. (Lecture notes in computer science; No. 6316).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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Kernel bundle diffeomorphic image registration using stationary velocity fields and Wendland basis functions
Pai, A. S. U., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2016, In: IEEE Transactions on Medical Imaging. 35, 6, p. 1369-1380 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Kernel bundle EPDiff: Evolution equations for multi-scale diffeomorphic image registration
Sommer, Stefan Horst, Lauze, Francois Bernard, Nielsen, Mads & Pennec, X., 2012, Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers: Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 – June 2, 2011, Revised Selected Papers. Bruckstein, A., ter Haar Romeny, B. M., Bronstein, A. M. & Bronstein, M. M. (eds.). Springer, p. 677-688 12 p. (Lecture notes in computer science, Vol. 6667).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Investigation of the adaptability of transient stability assessment methods to real-time operation
Weckesser, T., Johannsson, H., Sommer, Stefan Horst & Østergaard, J., 2012, 2012 3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe). IEEE, p. 1-9 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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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
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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
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Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel
Pai, A. S. U., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, Medical Imaging 2015: Image Processing. SPIE - International Society for Optical Engineering, 7 p. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 9413).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Horizontal dimensionality reduction and iterated frame bundle development
Sommer, Stefan Horst, 2013, Geometric Science of Information: First International Conference, GSI 2013, Paris, France, August 28-30, 2013. Proceedings. Nielsen, F. & Barbaresco, F. (eds.). Springer, p. 76-83 8 p. (Lecture notes in computer science, Vol. 8085).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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 journal › Conference abstract in journal › Research
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Higher-order spatial accuracy in diffeomorphic image registration
Jacobs, H. O. & Sommer, Stefan Horst, 2014, In: Geometry, Imaging and Computing. 1, 4, p. 447-484 38 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Higher-order momentum distributions and locally affine LDDMM registration
Sommer, Stefan Horst, Nielsen, Mads, Darkner, Sune & Pennec, X., 2013, In: S I A M Journal on Imaging Sciences. 6, 1, p. 341-367 27 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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
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Gaussian-like spatial priors for articulated tracking
Hauberg, S., Sommer, Stefan Horst & Steenstrup Pedersen, Kim, 2010, Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. Daniilidis, K., Maragos, P. & Paragios, N. (eds.). Springer, Vol. Part I. p. 425-437 13 p. (Lecture notes in computer science; No. 6311).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Evolution equations with anisotropic distributions and diffusion PCA
Sommer, Stefan Horst, 2015, Geometric science of information: Second International Conference, GSI 2015, Palaiseau, France, October 28–30, 2015, Proceedings. Nielsen, F. & Barbaresco, F. (eds.). Springer Science+Business Media, p. 3-11 9 p. (Lecture notes in computer science, Vol. 9389).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Do dementia biomarkers have a sigmoid trajectory? Insights from non-linear mixed effects modeling
Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Sørensen, L. & Nielsen, Mads, 2016, In: Alzheimer's & Dementia. 12, 7, Supplement, p. P356 1 p., O4-09-06.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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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
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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
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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
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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
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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
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Diffeomorphic image registration with automatic time-step adjustment
Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 1085-1088 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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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
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Comparison of several computational pipelines for atrophy computation in longitudinal Alzheimers studies
Pai, A. S. U., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L. E. B. L., Sporring, Jon & Nielsen, Mads, 2015. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation
Michalkiewicz, M. D., Pai, A. S. U., Leung, K. K., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L., Sporring, Jon & Nielsen, Mads, 2016, Medical imaging 2016: Image processing. Styner, M. A. & Angelini, E. D. (eds.). SPIE - International Society for Optical Engineering, 6 p. 978406. (Progress in Biomedical Optics and Imaging).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 proceeding › Book chapter › Research › peer-review
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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 proceeding › Article in proceedings › Research › peer-review
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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
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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
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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
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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
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Bicycle Chain Shape Models
Sommer, Stefan Horst, Tatu, A. J., Chen, C., Jørgensen, D., de Bruijne, Marleen, Loog, M., Nielsen, Mads & Lauze, Francois Bernard, 2009, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.. IEEE, p. 157-163 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Anisotropically weighted and nonholonomically constrained evolutions on manifolds
Sommer, Stefan Horst, 2016, In: Entropy. 18, 12, 21 p., 425.Research output: Contribution to journal › Journal article › Research › peer-review
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Anisotropic distributions on manifolds: template estimation and most probable paths
Sommer, Stefan Horst, 2015, Information processing in medical imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings. Ourselin, S., Alexander, D. C., Westin, C-F. & Cardoso, M. J. (eds.). Springer, p. 193-204 12 p. (Lecture notes in computer science, Vol. 9123).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Anatomy in Curved Space: Non-linear Modeling of Deformation and Shape for Medical Imaging
Sommer, Stefan Horst, 2012, Faculty of Science, University of Copenhagen.Research output: Book/Report › Ph.D. thesis › Research
- 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
Adaptive time-stepping in diffeomorphic image registration with bounded inverse consistency error
Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L. E. B. L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, The 18th International Conference on Medical Image Computing and Computer Assisted Intervention: proceedings. Technische Universität München , p. 35-47 13 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Adaptive time-stepping in dieomorphic image registration with bounded inverse consistency error
Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015) . INRIA, p. 35-47Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Accelerating multi-scale flows for LDDKBM diffeomorphic registration
Sommer, Stefan Horst, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, p. 499-505 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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 proceeding › Article in proceedings › Research › peer-review
- Published
A nonlinear mixed-effects model for simultaneous smoothing and registration of functional data
Raket, L. L., Sommer, Stefan Horst & Markussen, Bo, 2014, In: Pattern Recognition Letters. 38, p. 1-7 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A multi-scale kernel bundle for LDDMM: towards sparse deformation description across space and scales
Sommer, Stefan Horst, Nielsen, Mads, Lauze, Francois Bernard & Pennec, X., 2011, Information Processing in Medical Imaging: 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings. Székely, G. & Hahn, H. K. (eds.). Springer, p. 624-35 12 p. (Lecture notes in computer science, Vol. 6801).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A longitudinal study of growth, sex steroids and IGF-1 in boys with physiological gynaecomastia
Mieritz, M. G., Raket, L. L., Hagen, C. P., Nielsen, J. E., Talman, M. M., Petersen, Jørgen Holm, Sommer, Stefan Horst, Main, Katharina Maria, Jørgensen, N. & Juul, Anders, 2015, In: Journal of Clinical Endocrinology and Metabolism. 100, 10, p. 3752-3759 8 p.Research output: Contribution to journal › Journal article › 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
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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
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
ID: 9743396
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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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