386 citations · 406 across the 5 of their papers we have counts for
7 papers
Sasaki Metric for Spline Models of Manifold-Valued Trajectories
Esfandiar Nava-Yazdani, Felix Ambellan, Martin Hanik +1
We propose a generic spatiotemporal framework to analyze manifold-valued measurements, which allows for employing an intrinsic and computationally efficient Riemannian hierarchical…
Landmark-free Statistical Shape Modeling via Neural Flow Deformations
David Lüdke, Tamaz Amiranashvili, Felix Ambellan +3
Statistical shape modeling aims at capturing shape variations of an anatomical structure that occur within a given population. Shape models are employed in many tasks, such as shap…
SHREC 2022 Track on Online Detection of Heterogeneous Gestures
Ariel Caputo, Marco Emporio, Andrea Giachetti +10
This paper presents the outcomes of a contest organized to evaluate methods for the online recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the de…
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results
Adele Myers, Saiteja Utpala, Shubham Talbar +25
This paper presents the computational challenge on differential geometry and topology that was hosted within the ICLR 2022 workshop ``Geometric and Topological Representation Learn…
Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms
Felix Ambellan, Stefan Zachow, Christoph von Tycowicz
We present a novel approach for nonlinear statistical shape modeling that is invariant under Euclidean motion and thus alignment-free. By analyzing metric distortion and curvature…
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
Felix Ambellan, Stefan Zachow, Christoph von Tycowicz
Three-dimensional medical imaging enables detailed understanding of osteoarthritis structural status. However, there remains a vast need for automatic, thus, reader-independent mea…
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…