Per Sidén
Per Sidén
Postdoc, Linköping University, and Vision Predevelopment, Veoneer
Verified email at liu.se - Homepage
Title
Cited by
Cited by
Year
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors
P Sidén, A Eklund, D Bolin, M Villani
NeuroImage 146, 211-225, 2017
322017
Efficient Covariance Approximations for Large Sparse Precision Matrices
P Sidén, F Lindgren, D Bolin, M Villani
Journal of Computational and Graphical Statistics 27 (4), 898-909, 2018
72018
Deep Gaussian Markov random fields
P Sidén, F Lindsten
Proceedings of the 37th International Conference on Machine Learning 119 …, 2020
62020
Bayesian diffusion tensor estimation with spatial priors
X Gu, P Sidén, B Wegmann, A Eklund, M Villani, H Knutsson
International Conference on Computer Analysis of Images and Patterns, 2017
62017
Spatial 3D Mat\'ern priors for fast whole-brain fMRI analysis
P Sidén, F Lindgren, D Bolin, A Eklund, M Villani
arXiv preprint arXiv:1906.10591, 2019
42019
Anatomically informed bayesian spatial priors for fmri analysis
D Abramian, P Sidén, H Knutsson, M Villani, A Eklund
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1026-1030, 2020
12020
Real-Time Robotic Search using Structural Spatial Point Processes
O Andersson, P Sidén, J Dahlin, P Doherty, M Villani
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence …, 2019
1*2019
Scalable Bayesian spatial analysis with Gaussian Markov random fields
P Sidén
Linköping University Electronic Press, 2020
2020
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Articles 1–8