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Title: Morphomatics

Generator: mkdocs-1.5.3, mkdocs-material-9.5.10

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Domain: morphomatics.github.io

Links:

Skip to content https://morphomatics.github.io#morphomatics-geometric-morphometrics-in-non-euclidean-shape-spaces
https://morphomatics.github.io/
GitHub https://github.com/morphomatics/morphomatics
https://morphomatics.github.io/
GitHub https://github.com/morphomatics/morphomatics
Home https://morphomatics.github.io/
Citation https://morphomatics.github.io#citation
Riemannian shape spaces https://morphomatics.github.io#riemannian-shape-spaces
Regression in Riemannian manifolds https://morphomatics.github.io#regression-in-riemannian-manifolds
Hierarchical Models and the Geometry of Bézier Splines https://morphomatics.github.io#hierarchical-models-and-the-geometry-of-bezier-splines
Dissimilarity measures for sample distributions in Lie groups https://morphomatics.github.io#dissimilarity-measures-for-sample-distributions-in-lie-groups
Applications https://morphomatics.github.io#applications
Contributors https://morphomatics.github.io#contributors
Shape Space https://morphomatics.github.io/tutorials/tutorial_shape_space/
Statistical Shape Modeling https://morphomatics.github.io/tutorials/tutorial_ssm/
Riemannian Regression https://morphomatics.github.io/tutorials/tutorial_regression/
Statistics in Lie Groups https://morphomatics.github.io/tutorials/tutorial_biinvariant_statistics/
Geometry of Bézier Splines https://morphomatics.github.io/tutorials/tutorial_bezierfold/
Advanced https://morphomatics.github.io/advanced/
Imprint https://morphomatics.github.io/imprint/
Citation https://morphomatics.github.io#citation
Riemannian shape spaces https://morphomatics.github.io#riemannian-shape-spaces
Regression in Riemannian manifolds https://morphomatics.github.io#regression-in-riemannian-manifolds
Hierarchical Models and the Geometry of Bézier Splines https://morphomatics.github.io#hierarchical-models-and-the-geometry-of-bezier-splines
Dissimilarity measures for sample distributions in Lie groups https://morphomatics.github.io#dissimilarity-measures-for-sample-distributions-in-lie-groups
Applications https://morphomatics.github.io#applications
Contributors https://morphomatics.github.io#contributors
geometric data analysis and processinghttps://www.zib.de/visual/geometric-data-analysis-and-processing
source codehttps://github.com/morphomatics/morphomatics
https://mybinder.org/v2/gh/morphomatics/morphomatics.github.io/HEAD?filepath=docs%2Ftutorials
An Efficient Riemannian Statistical Shape Model using Differential Coordinates.https://opus4.kobv.de/opus4-zib/files/6117/ZIBReport_16-69.pdf
http://dx.doi.org/10.1016/j.media.2017.09.004
https://opus4.kobv.de/opus4-zib/files/6117/ZIBReport_16-69.pdf
Rigid Motion Invariant Statistical Shape Modeling Based on Discrete Fundamental Forms.https://doi.org/10.1016/j.media.2021.102178
https://doi.org/10.1016/j.media.2021.102178
http://arxiv.org/abs/2111.06850
Nonlinear Regression on Manifolds for Shape Analysis using Intrinsic Bézier Splines.http://arxiv.org/abs/2007.05275
http://dx.doi.org/10.1007/978-3-030-59719-1_60
http://arxiv.org/abs/2007.05275
A Nonlinear Hierarchical Model for Longitudinal Data on Manifolds.https://arxiv.org/abs/2202.01180
http://dx.doi.org/10.1109/ISBI52829.2022.9761465
http://arxiv.org/abs/2202.01180
Bi-Invariant Dissimilarity Measures for Sample Distributions in Lie Groups.https://epubs.siam.org/doi/10.1137/21M1410373
http://dx.doi.org/10.1137/21M1410373
https://arxiv.org/abs/2402.12901
[Hanik et al. 24]https://arxiv.org/abs/2401.14381
[Türkseven et al. 23]https://arxiv.org/abs/2212.04740
[Hanik et al. 23]https://arxiv.org/abs/2305.18960
[Nava-Yazdani et al. 23]https://arxiv.org/abs/2303.17299
[Paskin et al. 22]https://arxiv.org/abs/2207.12687
[Hanik et al. 22]http://arxiv.org/abs/2106.09408
[Ambellan et al. 21]http://arxiv.org/abs/2104.01107
[Herter et al. 21]http://dx.doi.org/10.1111/cgf.14296
[Baum et al. 21]http://dx.doi.org/10.1016/j.daach.2021.e00186
Christoph von Tycowiczhttps://www.tycowicz.de
Felix Ambellanhttps://www.zib.de/members/ambellan
Martin Hanikhttps://www.zib.de/members/hanik
Material for MkDocs https://squidfunk.github.io/mkdocs-material/

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