A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion
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Publication:4689632
DOI10.1137/16M1095755zbMath1400.92310MaRDI QIDQ4689632
Vasileios Maroulas, Andreas Nebenführ, Ioannis Sgouralis
Publication date: 17 October 2018
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Cell biology (92C37)
Related Items (9)
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams ⋮ Bayesian topological learning for classifying the structure of biological networks ⋮ Lévy Backward SDE Filter for Jump Diffusion Processes and Its Applications in Material Sciences ⋮ A primer on persistent homology of finite metric spaces ⋮ Large deviations for the optimal filter of nonlinear dynamical systems driven by Lévy noise ⋮ Uncertainty modelling and computational aspects of data association ⋮ HERMES: persistent spectral graph software ⋮ Homotopy continuation for the spectra of persistent Laplacians ⋮ A Bayesian Framework for Persistent Homology
Uses Software
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