Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty. - David A. J. Wilson; Carolyn Anglin; Felix Ambellan; Carl Martin Grewe; Alexander Tack; Hans Lamecker; Michael Dunbar; Stefan Zachow (Int. J. Comput. Assist. Radiol. Surg., 2017)

An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative. - Christoph von Tycowicz; Felix Ambellan; Anirban Mukhopadhyay 003; Stefan Zachow (Medical Image Anal., 2018)

A Surface-Theoretic Approach for Statistical Shape Modeling. - Felix Ambellan; Stefan Zachow; Christoph von Tycowicz (MICCAI (4), 2019)

An As-Invariant-As-Possible GL+(3) -Based Statistical Shape Model. - Felix Ambellan; Stefan Zachow; Christoph von Tycowicz (MBIA/MFCA@MICCAI, 2019)

Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative. - Felix Ambellan; Alexander Tack; Moritz Ehlke; Stefan Zachow (Medical Image Anal., 2019)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

Geodesic B-score for Improved Assessment of Knee Osteoarthritis. - Felix Ambellan; Stefan Zachow; Christoph von Tycowicz (IPMI, 2021)

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms. - Felix Ambellan; Stefan Zachow; Christoph von Tycowicz (CoRR, 2021)

Rigid motion invariant statistical shape modeling based on discrete fundamental forms: Data from the osteoarthritis initiative and the Alzheimer's disease neuroimaging initiative. - Felix Ambellan; Stefan Zachow; Christoph von Tycowicz (Medical Image Anal., 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks. - Julius Mayer 002; Daniel Baum; Felix Ambellan; Christoph von Tycowicz (GeoMedIA, 2022)

Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations. - David Lüdke; Tamaz Amiranashvili; Felix Ambellan; Ivan Ezhov; Bjoern H. Menze; Stefan Zachow (MICCAI (2), 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)

SHREC 2022 track on online detection of heterogeneous gestures. - Marco Emporio; Ariel Caputo; Andrea Giachetti 001; Marco Cristani; Guido Borghi; Andrea D'Eusanio; Minh-Quan Le; Hai-Dang Nguyen; Minh-Triet Tran; Felix Ambellan; Martin Hanik; Esfandiar Nava-Yazdani; et al. (Comput. Graph., 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)

Sasaki metric for spline models of manifold-valued trajectories. - Esfandiar Nava-Yazdani; Felix Ambellan; Martin Hanik; Christoph von Tycowicz (Comput. Aided Geom. Des., 2023)

Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer's disease. - Julius Mayer 002; Daniel Baum; Felix Ambellan; Christoph von Tycowicz (BMC Medical Imaging, 2024)