Marcel Lüthi

Orcid: 0000-0002-9686-2195

According to our database1, Marcel Lüthi authored at least 31 papers between 2006 and 2023.

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Bibliography

2023
Dynamic multi feature-class Gaussian process models.
Medical Image Anal., April, 2023

2022
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression.
CoRR, 2022

2021
Model Construction for the Estimation of Healthy Bone Shape and Density Distribution.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Learning Shape Priors from Pieces.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020

A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Error-Controlled Model Approximation for Gaussian Process Morphable Models.
J. Math. Imaging Vis., 2019

Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Probabilistic Surface Reconstruction with Unknown Correspondence.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2018
Gaussian Process Morphable Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Probabilistic Fitting of Active Shape Models.
Proceedings of the Shape in Medical Imaging, 2018

Morphable Face Models - An Open Framework.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Probabilistic Joint Face-Skull Modelling for Facial Reconstruction.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2015
Deformable Models.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

A statistical shape model of the human second cervical vertebra.
Int. J. Comput. Assist. Radiol. Surg., 2015

2014
Variational Image Registration Using Inhomogeneous Regularization.
J. Math. Imaging Vis., 2014

Spatially Varying Registration Using Gaussian Processes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Posterior shape models.
Medical Image Anal., 2013

Finite Element Surface Registration Incorporating Curvature, Volume Preservation, and Statistical Model Information.
Comput. Math. Methods Medicine, 2013

A Unified Approach to Shape Model Fitting and Non-rigid Registration.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2012
Using a flexibility constrained 3D statistical shape model for robust MRF-based segmentation.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

A shape prior-based MRF model for 3D masseter muscle segmentation.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Using Landmarks as a Deformation Prior for Hybrid Image Registration.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010
Local Regression Based Statistical Model Fitting.
Proceedings of the Pattern Recognition, 2010

2009
Deformable Models.
Proceedings of the Encyclopedia of Biometrics, 2009

Building Shape Models from Lousy Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Probabilistic Modeling and Visualization of the Flexibility in Morphable Models.
Proceedings of the Mathematics of Surfaces XIII, 2009

Face Reconstruction from Skull Shapes and Physical Attributes.
Proceedings of the Pattern Recognition, 2009

2008
A statistical deformation prior for non-rigid image and shape registration.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Curvature Guided Level Set Registration Using Adaptive Finite Elements.
Proceedings of the Pattern Recognition, 2007

2006
Linear Programs for Hypotheses Selection in Probabilistic Inference Models.
J. Mach. Learn. Res., 2006

Comparative study of price-based resource allocation algorithms for ad hoc networks.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006


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