92 citations · 498 across the 46 of their papers we have counts for
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Joint spatial modeling of significant wave height and wave period using the SPDE approach
Anders Hildeman, David Bolin, Igor Rychlik
The ocean wave distribution in a specific region of space and time is described by its sea state. Knowledge about the sea states a ship encounters on a journey can be used to asses…
Deformed SPDE models with an application to spatial modeling of significant wave height
Anders Hildeman, David Bolin, Igor Rychlik
A non-stationary Gaussian random field model is developed based on a combination of the stochastic partial differential equation (SPDE) approach and the classical deformation metho…
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Amanda Mejia, Yu Ryan Yue, David Bolin +2
Cortical surface fMRI (cs-fMRI) has recently grown in popularity versus traditional volumetric fMRI, as it allows for more meaningful spatial smoothing and is more compatible with…
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Kristi Kuljus, Fekadu L. Bayisa, David Bolin +2
There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. In this article, predictin…
A three-dimensional statistical model for imaged microstructures of porous polymer films
Sandra Barman, David Bolin
A thresholded Gaussian random field model is developed for the microstructure of porous materials. Defining the random field as a solution to stochastic partial differential equati…
Whole-brain substitute CT generation using Markov random field mixture models
Anders Hildeman, David Bolin, Jonas Wallin +4
Computed tomography (CT) equivalent information is needed for attenuation correction in PET imaging and for dose planning in radiotherapy. Prior work has shown that Gaussian mixtur…