Stefan Horst Sommer

Stefan Horst Sommer

Professor

ORCID: 0000-0001-6784-0328

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  1. 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

  2. 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

  3. 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

  4. 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

  5. Published

    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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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. 35-47

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. 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

  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 journal › Journal article › Research › peer-review

  13. 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

  14. Published

    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

  15. Published

    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

  16. 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

  17. Published

    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

  18. 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 proceeding › Article in proceedings › Research › peer-review

  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/Report › Anthology › Research › peer-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 conference › Conference abstract for conference › Research › peer-review

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

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