Bicycle chain shape models. - Stefan Sommer; Aditya Tatu; Chen Chen; D. R. Jurgensen; Marleen de Bruijne; Marco Loog; Mads Nielsen; François Lauze (CVPR Workshops, 2009)

Multi-Channel-Beziehungsmanagement für den elektronischen Kaufprozess. - Andreas Hilbert; Stefan Sommer (FKBI, 2009)

Gaussian-Like Spatial Priors for Articulated Tracking. - Søren Hauberg; Stefan Sommer; Kim Steenstrup Pedersen (ECCV (1), 2010)

Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. - Stefan Sommer; François Lauze; Søren Hauberg; Mads Nielsen (ECCV (6), 2010)

The Differential of the Exponential Map, Jacobi Fields and Exact Principal Geodesic Analysis - Stefan Sommer; François Lauze; Mads Nielsen (CoRR, 2010)

On Restricting Planar Curve Evolution to Finite Dimensional Implicit Subspaces with Non-Euclidean Metric. - Aditya Tatu; François Lauze; Stefan Sommer; Mads Nielsen (J. Math. Imaging Vis., 2010)

Analyzing customer sentiments in microblogs - A topic-model-based approach for Twitter datasets. - Andreas Schieber; Stefan Sommer; Andreas Hilbert; Kai Heinrich (AMCIS, 2011)

Worüber reden die Kunden? - Ein modelbasierter Ansatz für die Analyse von Kundenmeinungen in Microblogs. - Andreas Schieber; Stefan Sommer; Kai Heinrich; Andreas Hilbert (GeNeMe, 2011)

Accelerating multi-scale flows for LDDKBM diffeomorphic registration. - Stefan Sommer (ICCV Workshops, 2011)

A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. - Stefan Sommer; Mads Nielsen; François Lauze; Xavier Pennec (IPMI, 2011)

Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. - Stefan Sommer; François Lauze; Mads Nielsen; Xavier Pennec (SSVM, 2011)

Higher Order Kernels and Locally Affine LDDMM Registration - Stefan Sommer; Mads Nielsen; Sune Darkner; Xavier Pennec (CoRR, 2011)

Investigation of the adaptability of transient stability assessment methods to real-time operation. - Tilman Weckesser; Hjörtur Johannsson; Stefan Sommer; Jacob Østergaard (ISGT Europe, 2012)

Sparsity and scale: Compact representations of deformation for diffeomorphic registration. - Stefan Sommer; Mads Nielsen; Xavier Pennec (MMBIA, 2012)

What is the Conversation About?: A Topic-Model-Based Approach for Analyzing Customer Sentiments in Twitter. - Stefan Sommer; Andreas Schieber; Kai Heinrich; Andreas Hilbert (Int. J. Intell. Inf. Technol., 2012)

Natural metrics and least-committed priors for articulated tracking. - Søren Hauberg; Stefan Sommer; Kim Steenstrup Pedersen (Image Vis. Comput., 2012)

Horizontal Dimensionality Reduction and Iterated Frame Bundle Development. - Stefan Sommer (GSI, 2013)

Real-time thevenin impedance computation. - Stefan Sommer; Hjörtur Johannsson (ISGT, 2013)

Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework. - Stefan Sommer; François Lauze; Mads Nielsen; Xavier Pennec (J. Math. Imaging Vis., 2013)

Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. - Stefan Sommer; Mads Nielsen; Sune Darkner; Xavier Pennec (SIAM J. Imaging Sci., 2013)

Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. - Akshay Pai; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (WBIR, 2014)

Optimization over geodesics for exact principal geodesic analysis. - Stefan Sommer; François Lauze; Mads Nielsen (Adv. Comput. Math., 2014)

Higher-order Spatial Accuracy in Diffeomorphic Image Registration. - Henry O. Jacobs; Stefan Sommer (CoRR, 2014)

Symmetry in Image Registration and Deformation Modeling. - Stefan Sommer; Henry O. Jacobs (CoRR, 2014)

A nonlinear mixed-effects model for simultaneous smoothing and registration of functional data. - Lars Lau Rakêt; Stefan Sommer; Bo Markussen (Pattern Recognit. Lett., 2014)

Evolution Equations with Anisotropic Distributions and Diffusion PCA. - Stefan Sommer (GSI, 2015)

Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths. - Stefan Sommer (IPMI, 2015)

Diffeomorphic image registration with automatic time-step adjustment. - Akshay Pai; Stefan Klein 001; Stefan Sommer; Sune Darkner; Jon Sporring; Mads Nielsen (ISBI, 2015)

Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (Image Processing, 2015)

Reduction by Lie Group Symmetries in Diffeomorphic Image Registration and Deformation Modelling. - Stefan Sommer; Henry O. Jacobs (Symmetry, 2015)

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. - Akshay Pai; Stefan Sommer; Lars Lau Rakêt; Line Kühnel; Sune Darkner; Lauge Sørensen; Mads Nielsen (MCV/BAMBI@MICCAI, 2016)

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. - Mateusz Michalkiewicz; Akshay Pai; Kelvin K. Leung; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (Image Processing, 2016)

Anisotropically Weighted and Nonholonomically Constrained Evolutions on Manifolds. - Stefan Sommer (Entropy, 2016)

Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (IEEE Trans. Medical Imaging, 2016)

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. - Akshay Pai; Yuan-Ching Teng; Joseph Blair; Michiel Kallenberg; Erik B. Dam; Stefan Sommer; Christian Igel; Mads Nielsen (Deep Learning for Medical Image Analysis, 2017)

Stochastic Development Regression Using Method of Moments. - Line Kühnel; Stefan Sommer (GSI, 2017)

A Stochastic Large Deformation Model for Computational Anatomy. - Alexis Arnaudon; Darryl D. Holm; Akshay Pai; Stefan Sommer (IPMI, 2017)

Stochastic Development Regression on Non-linear Manifolds. - Line Kühnel; Stefan Sommer (IPMI, 2017)

Computational Anatomy in Theano. - Line Kühnel; Stefan Sommer (GRAIL/MFCA/MICGen@MICCAI, 2017)

Bridge Simulation and Metric Estimation on Landmark Manifolds. - Stefan Sommer; Alexis Arnaudon; Line Kühnel; Sarang C. Joshi (GRAIL/MFCA/MICGen@MICCAI, 2017)

Stochastic metamorphosis with template uncertainties. - Alexis Arnaudon; Darryl D. Holm; Stefan Sommer (CoRR, 2017)

Most Likely Separation of Intensity and Warping Effects in Image Registration. - Line Kühnel; Stefan Sommer; Akshay Pai; Lars Lau Rakêt (SIAM J. Imaging Sci., 2017)

An Infinitesimal Probabilistic Model for Principal Component Analysis of Manifold Valued Data. - Stefan Sommer (CoRR, 2018)

Latent Space Non-Linear Statistics. - Line Kühnel; Tom Fletcher; Sarang C. Joshi; Stefan Sommer (CoRR, 2018)

An Average of the Human Ear Canal: Recovering Acoustical Properties via Shape Analysis. - Sune Darkner; Stefan Sommer; Andreas Schuhmacher; Henrik Ingerslev Anders O. Baandrup; Carsten Thomsen; Søren Jønsson (CoRR, 2018)

Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. - Line Kühnel; Alexis Arnaudon; Tom Fletcher; Stefan Sommer (CoRR, 2018)

String Methods for Stochastic Image and Shape Matching. - Alexis Arnaudon; Darryl D. Holm; Stefan Sommer (J. Math. Imaging Vis., 2018)

Simulation of Conditioned Diffusions on the Flat Torus. - Mathias Højgaard Jensen; Anton Mallasto; Stefan Sommer (GSI, 2019)

Generalizations of Ripley's K-function with Application to Space Curves. - Jon Sporring; Rasmus Waagepetersen; Stefan Sommer (IPMI, 2019)

Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring. - Christina Hildebrandt Lüthje Jørgensen; Bahtiyar Can Karatas; Hjörtur Jóhannsson; Stefan Sommer (ISGT Europe, 2019)

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. - Mauricio Orbes-Arteaga; Lauge Sørensen; Manuel Jorge Cardoso; Marc Modat; Sébastien Ourselin; Stefan Sommer; Mads Nielsen; Christian Igel; Akshay Pai (Image Processing, 2019)

Differential geometry and stochastic dynamics with deep learning numerics. - Line Kühnel; Stefan Sommer; Alexis Arnaudon (Appl. Math. Comput., 2019)

A Geometric Framework for Stochastic Shape Analysis. - Alexis Arnaudon; Darryl D. Holm; Stefan Sommer (Found. Comput. Math., 2019)

Latent Space Geometric Statistics. - Line Kühnel; Tom Fletcher; Sarang C. Joshi; Stefan Sommer (ICPR Workshops (6), 2020)

Prototyping Autonomous Robotic Networks on Different Layers of RAMI 4.0 with Digital Twins. - Alexander Barbie; Wilhelm Hasselbring; Niklas Pech; Stefan Sommer; Sascha Flögel; Frank Wenzhöfer (MFI, 2020)

Receiving Robot's Advice: Does It Matter When and for What? - Carolin Straßmann; Sabrina C. Eimler; Alexander Arntz; Alina Grewe; Christopher Kowalczyk; Stefan Sommer (ICSR, 2020)

Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. - Alexis Arnaudon; Frank van der Meulen; Moritz Schauer; Stefan Sommer (CoRR, 2020)

Diffusion Means and Heat Kernel on Manifolds. - Pernille E. H. Hansen; Benjamin Eltzner; Stefan Sommer (GSI, 2021)

Currents and K-functions for Fiber Point Processes. - Pernille E. H. Hansen; Rasmus Waagepetersen; Anne Marie Svane; Jon Sporring; Hans J. T. Stephensen; Stine Hasselholt; Stefan Sommer (GSI, 2021)

Bridge Simulation and Metric Estimation on Lie Groups. - Mathias Højgaard Jensen; Sarang C. Joshi; Stefan Sommer (GSI, 2021)

Simulation of Conditioned Semimartingales on Riemannian Manifolds. - Mathias Højgaard Jensen; Stefan Sommer (CoRR, 2021)

Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. - Jon Middleton; Marko Bauer; Jacob Johansen; Mads Nielsen; Stefan Sommer; Akshay Pai (MAD@MICCAI, 2022)

ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. - Adele Myers; Saiteja Utpala; Shubham Talbar; Sophia Sanborn; Christian Shewmake; Claire Donnat; Johan Mathe; Rishi Sonthalia; Xinyue Cui; Tom Szwagier; Arthur Pignet; Andri Bergsson; et al. (TAG-ML, 2022)

Discrete-Time Observations of Brownian Motion on Lie Groups and Homogeneous Spaces: Sampling and Metric Estimation. - Mathias Højgaard Jensen; Sarang C. Joshi; Stefan Sommer (Algorithms, 2022)

Mean Estimation on the Diagonal of Product Manifolds. - Mathias Højgaard Jensen; Stefan Sommer (Algorithms, 2022)

ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. - Adele Myers; Saiteja Utpala; Shubham Talbar; Sophia Sanborn; Christian Shewmake; Claire Donnat; Johan Mathe; Umberto Lupo; Rishi Sonthalia; Xinyue Cui; Tom Szwagier; Arthur Pignet; et al. (CoRR, 2022)

Developing an Underwater Network of Ocean Observation Systems With Digital Twin Prototypes - A Field Report From the Baltic Sea. - Alexander Barbie; Niklas Pech; Wilhelm Hasselbring; Sascha Flögel; Frank Wenzhöfer; Michael Walter 002; Elena Shchekinova; Marc Busse; Matthias Türk; Michael Hofbauer; Stefan Sommer (IEEE Internet Comput., 2022)

Atlas generative models and geodesic interpolation. - Jakob Stolberg-Larsen; Stefan Sommer (Image Vis. Comput., 2022)

Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. - Stefan Sommer; Alex M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions. - Alexis Arnaudon; Frank van der Meulen; Moritz Schauer; Stefan Sommer (SIAM J. Imaging Sci., 2022)

Tangent Phylogenetic PCA. - Morten Akhøj; Xavier Pennec; Stefan Sommer (SCIA (2), 2023)

A Function Space Perspective on Stochastic Shape Evolution. - Elizabeth Louise Baker; Thomas Besnier; Stefan Sommer (SCIA (2), 2023)

A Denoising Diffusion Model for Fluid Field Prediction. - Gefan Yang; Stefan Sommer (CoRR, 2023)

Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation. - Francesco Santini 002; Jakob Wasserthal; Abramo Agosti; Xeni Deligianni; Kevin R. Keene; Hermien E. Kan; Stefan Sommer; Christoph Stuprich; Fengdan Wang; Claudia Weidensteiner; Giulia Manco; Matteo Paoletti; et al. (CoRR, 2023)

Principal subbundles for dimension reduction. - Morten Akhøj; James Benn; Erlend Grong; Stefan Sommer; Xavier Pennec (CoRR, 2023)

Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff. - Alexander Mangulad Christgau; Alexis Arnaudon; Stefan Sommer (J. Math. Imaging Vis., 2023)

Conditioning non-linear and infinite-dimensional diffusion processes. - Elizabeth Louise Baker; Gefan Yang; Michael L. Severinsen; Christy Anna Hipsley; Stefan Sommer (NeurIPS, 2024)

Incorporating Riemannian Geometric Features for Learning Coefficient of Pressure Distributions on Airplane Wings. - Liwei Hu; Wenyong Wang; Yu Xiang 002; Stefan Sommer (CoRR, 2024)

Score matching for sub-Riemannian bridge sampling. - Erlend Grong; Karen Habermann; Stefan Sommer (CoRR, 2024)

Simulating infinite-dimensional nonlinear diffusion bridges. - Gefan Yang; Elizabeth Louise Baker; Michael L. Severinsen; Christy Anna Hipsley; Stefan Sommer (CoRR, 2024)

Second-order differential operators, stochastic differential equations and Brownian motions on embedded manifolds. - Du Nguyen; Stefan Sommer (CoRR, 2024)

Score matching for bridges without time-reversals. - Elizabeth Louise Baker; Moritz Schauer; Stefan Sommer (CoRR, 2024)

Parallel transport on matrix manifolds and Exponential Action. - Du Nguyen; Stefan Sommer (CoRR, 2024)

Parameter Inference via Differentiable Diffusion Bridge Importance Sampling. - Nicklas Boserup; Gefan Yang; Michael L. Severinsen; Christy Anna Hipsley; Stefan Sommer (CoRR, 2024)

Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration. - Lili Bao; Jiahao Lu; Shihui Ying; Stefan Sommer (SIAM J. Imaging Sci., 2024)

Most Probable Paths for Anisotropic Brownian Motions on Manifolds. - Erlend Grong; Stefan Sommer (Found. Comput. Math., 2024)

Score matching for bridges without learning time-reversals. - Elizabeth Louise Baker; Moritz Schauer; Stefan Sommer (AISTATS, 2025)

Infinite-dimensional Diffusion Bridge Simulation via Operator Learning. - Gefan Yang; Elizabeth Louise Baker; Michael L. Severinsen; Christy Anna Hipsley; Stefan Sommer (AISTATS, 2025)

Neural Guided Diffusion Bridges. - Gefan Yang; Frank van der Meulen; Stefan Sommer (CoRR, 2025)