Research output per year
Research output per year
Personal profile
Short presentation
Head of section, Pioneer AI
Head of studies, Machine learning and data science
PI of the Center for computational evolutionary morphology (CCEM), joint with Rasmus Nielsen
See also the Applied geometry lab
X/Twitter: @stefanhsommer
Repositories: https://github.com/computationalevolutionarymorphometry/, http://github.com/stefansommer/
For full-text papers, please see my profile at arXiv or Google scholar.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
-
Long‐time existence of Brownian motion on configurations of two landmarks
Habermann, K., Harms, P. & Sommer, S., 2024, In: Bulletin of the London Mathematical Society. 56, 5, p. 1658-1679Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Most Probable Flows for Kunita SDEs
Grong, E. & Sommer, S., 2024, In: Applied Mathematics and Optimization. 89, 2, 15 p., 44.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile12 Downloads (Pure) -
Most Probable Paths for Anisotropic Brownian Motions on Manifolds
Grong, E. & Sommer, S., 2024, In: Foundations of Computational Mathematics. 24, p. 313–345 33 p.Research output: Contribution to journal › Journal article › Research › peer-review
File3 Citations (Scopus)5 Downloads (Pure) -
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration
Bao, L., Lu, J., Ying, S. & Sommer, S., 2024, In: SIAM Journal on Imaging Sciences. 17, 2, p. 861-887Research output: Contribution to journal › Journal article › Research › peer-review
File11 Downloads (Pure) -
A Function Space Perspective on Stochastic Shape Evolution
Baker, E., Besnier, T. & Sommer, S., 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
-
Diffusion means in geometric spaces
Eltzner, B., Hansen, P. E. H., Huckemann, S. F. & Sommer, S., 2023, In: Bernoulli. 29, 4, p. 3141-3170 30 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)22 Downloads (Pure) -
Geometry of sample spaces
Harms, P., Michor, P. W., Pennec, X. & Sommer, S., 2023, In: Differential Geometry and its Application. 90, 29 p., 102029.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
Middleton, J. A., Bauer, M., Johansen, J., Nielsen, M., Sommer, S. H. & 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
1 Citation (Scopus)