Stefan Horst Sommer

Stefan Horst Sommer

Lektor


  1. Udgivet

    An Infinitesimal Probabilistic Model for Principal Component Analysis of Manifold Valued Data

    Sommer, Stefan Horst, 2019, I : Sankhya A. 81, 1, s. 37-62

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. Udgivet

    Anatomy in Curved Space: Non-linear Modeling of Deformation and Shape for Medical Imaging

    Sommer, Stefan Horst, 2012, Faculty of Science, University of Copenhagen.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

  3. Udgivet

    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. (red.). Springer, s. 193-204 12 s. (Lecture notes in computer science, Bind 9123).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    Anisotropically weighted and nonholonomically constrained evolutions on manifolds

    Sommer, Stefan Horst, 2016, I : Entropy. 18, 12, 21 s., 425.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    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, s. 157-163 7 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    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 s. 8905466

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

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

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

    Publikation: Bog/antologi/afhandling/rapportAntologiForskningfagfællebedømt

  8. Udgivet

    Brain Segmentation in Rodent MR-Images Using Convolutional Neural Networks

    Sigurdsson, Björn, Darkner, Sune, Sommer, Stefan Horst, Mortensen, Kristian Nygaard, Sanggaard, S., Kostrikov, S. & Nedergaard, Maiken, 2018.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  9. Udgivet

    Bridge simulation and metric estimation on landmark manifolds

    Sommer, Stefan Horst, Arnaudon, A., Kühnel, Line & 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. (red.). Springer, s. 79-91 13 s. (Lecture notes in computer science, Bind 10551).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Characterization of errors in deep learning-based brain MRI segmentation

    Pai, Akshay Sadananda Uppinakudru, Teng, Y., Blair, Joseph Patrick Michele, 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. (red.). Academic Press, s. 223–242 20 s.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

ID: 9743396