Felix Ambellan

Orcid: 0000-0001-9415-0859

According to our database1, Felix Ambellan authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Sasaki metric for spline models of manifold-valued trajectories.
Comput. Aided Geom. Des., July, 2023

2022
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results.
CoRR, 2022

SHREC 2022 track on online detection of heterogeneous gestures.
Comput. Graph., 2022


Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations.
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.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
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.
Medical Image Anal., 2021

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms.
CoRR, 2021

Geodesic B-score for Improved Assessment of Knee Osteoarthritis.
Proceedings of the Information Processing in Medical Imaging, 2021

2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

2019
Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative.
Medical Image Anal., 2019

An As-Invariant-As-Possible GL<sup>+</sup>(3) -Based Statistical Shape Model.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

A Surface-Theoretic Approach for Statistical Shape Modeling.
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.
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.
Int. J. Comput. Assist. Radiol. Surg., 2017


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