Stefan Horst Sommer
Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- 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
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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
- 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
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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
- Published
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
- Published
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
- 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 proceeding › Book chapter › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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
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
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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