Manifold-Valued Data in Medical Imaging Applications
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Publication:3300558
DOI10.1007/978-3-030-31351-7_22OpenAlexW3014171276MaRDI QIDQ3300558
Andreas Weinmann, Maximilian Baust
Publication date: 29 July 2020
Published in: Handbook of Variational Methods for Nonlinear Geometric Data (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-31351-7_22
Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)
Uses Software
Cites Work
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- Mumford-Shah and Potts regularization for manifold-valued data
- Incremental proximal methods for large scale convex optimization
- A Riemannian approach to anisotropic filtering of tensor fields
- Median and related local filters for tensor-valued images
- Regularizing flows for constrained matrix-valued images
- Translation, scale, and deformation weighted polar active contours
- Geodesic regression and the theory of least squares on Riemannian manifolds
- Riemannian geometries on spaces of plane curves
- Overview of the geometries of shape spaces and diffeomorphism groups
- Visualization and processing of tensor fields.
- A Riemannian framework for tensor computing
- A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images
- A Generalized Forward-Backward Splitting
- Computing Medians and Means in Hadamard Spaces
- Optimal approximations by piecewise smooth functions and associated variational problems
- Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
- Finite-differences discretizations of the mumford-shah functional
- Active contours without edges
- Persistent angular structure: new insights from diffusion magnetic resonance imaging data
- Joint Segmentation and Shape Regularization With a Generalized Forward–Backward Algorithm
- Total Generalized Variation for Manifold-Valued Data
- Means and Averaging in the Group of Rotations
- Left-Invariant Riemannian Geodesics on Spatial Transformation Groups
- Total Variation Regularization for Manifold-Valued Data
- Second Order Differences of Cyclic Data and Applications in Variational Denoising
- Joint image reconstruction and segmentation using the Potts model
- Robust Estimation of a Location Parameter
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