Felix Ambellan

According to our database, Felix Ambellan authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Sasaki metric for spline models of manifold-valued trajectories.

Esfandiar Nava-Yazdani, Felix Ambellan, Martin Hanik, Christoph von Tycowicz

Comput. Aided Geom. Des., July, 2023

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, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane

CoRR, 2022

SHREC 2022 track on online detection of heterogeneous gestures.

Marco Emporio, Ariel Caputo, Andrea Giachetti, Marco Cristani, Guido Borghi, Andrea D'Eusanio, Minh-Quan Le, Hai-Dang Nguyen, Minh-Triet Tran, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz

Comput. Graph., 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, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane

Proceedings of the Topological, 2022

Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations.

David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks.

Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

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, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke

Medical Image Anal., 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

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms.

Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

CoRR, 2021

Geodesic B-score for Improved Assessment of Knee Osteoarthritis.

Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

Proceedings of the Information Processing in Medical Imaging, 2021

2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark.

Anjany Sekuboyina, Amirhossein Bayat, Malek El Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareau, Björn H. Menze, Jan S. Kirschke

CoRR, 2020

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

An As-Invariant-As-Possible GL⁺(3) -Based Statistical Shape Model.

Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

A Surface-Theoretic Approach for Statistical Shape Modeling.

Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

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, Stefan Zachow

Medical Image Anal., 2018

2017

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