Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities

DOI10.1007/s11222-023-10259-7zbMath1517.62016arXiv2205.15167MaRDI QIDQ6172162

Ali H. Al-Anbaki, Simon L. Cotter, Berenika Plusa, Jessica E. Forsyth

Publication date: 16 August 2023

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2205.15167

zbMATH Keywords

landmark matchingBayesian data selectionmulti-modal image analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• Generation of three-dimensional random rotations in fitting and matching problems
• Generating random correlation matrices based on vines and extended onion method
• Generating random correlation matrices based on partial correlations
• Generalized Procrustes analysis
• Weak convergence and optimal scaling of random walk Metropolis algorithms
• Markov chains for exploring posterior distributions. (With discussion)
• Learning landmark geodesics using the ensemble Kalman filter
• Bayesian protein structure alignment
• On Algorithms For Permuting Large Entries to the Diagonal of a Sparse Matrix
• Landmark matching via large deformation diffeomorphisms
• Statistical Shape Analysis, with Applications in R
• Bayesian data assimilation in shape registration
• Outlier Analysis
• Behavior of the NORTA method for correlated random vector generation as the dimension increases
• Informed Proposals for Local MCMC in Discrete Spaces
• Statistical Analysis of Unlabeled Point Sets: Comparing Molecules in Chemoinformatics
• Bayesian alignment using hierarchical models, with applications in protein bioinformatics
• Bayesian Model Selection and Statistical Modeling
• Shapes and diffeomorphisms

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