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Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure

Machine learning, 2013-02, Vol.90 (2), p.191-230

2013

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TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops

Bioinformatics, 2009-01, Vol.25 (1), p.126-127

2009

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Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics

Biomechanics and modeling in mechanobiology, 2022-06, Vol.21 (3), p.953-982

2022

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Statistical modelling of cell movement

Statistica Neerlandica, 2018-08, Vol.72 (3), p.265-280

2018

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Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data

Journal of the Royal Statistical Society Series C: Applied Statistics, 2022-08, Vol.71 (4), p.906-931

2022

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LIES of omission: complex observation processes in ecology

Trends in ecology & evolution (Amsterdam), 2024-04, Vol.39 (4), p.368-380

2024

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Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle

International journal for numerical methods in biomedical engineering, 2022-05, Vol.38 (5), p.e3593-n/a

2022

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Bayesian Inversion of Frequency-Domain Airborne EM Data With Spatial Correlation Prior Information

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-16

2024

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The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks

Neural computation, 2000-11, Vol.12 (11), p.2685-2717

Husmeier, Dirk

2000

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Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI

Computerized medical imaging and graphics, 2024-04, Vol.113, p.102333-102333, Article 102333

2024

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Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance

Journal of the Royal Society interface, 2019-07, Vol.16 (156), p.20190114

2019

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Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid‐dynamics model of the pulmonary circulation

International journal for numerical methods in biomedical engineering, 2021-02, Vol.37 (2), p.e3421-n/a

2021

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Approximate Bayesian inference in semi-mechanistic models

Statistics and computing, 2017, Vol.27 (4), p.1003-1040

2017

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Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications

Computerized medical imaging and graphics, 2023-06, Vol.106, p.102203-102203, Article 102203

2023

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Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics

Artificial intelligence in medicine, 2021-09, Vol.119, p.102140-102140, Article 102140

2021

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Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation

Journal of the Royal Society interface, 2023-01, Vol.20 (198), p.20220676

2023

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Wisdom of crowds for robust gene network inference

Nature methods, 2012-07, Vol.9 (8), p.796

2012

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Classification of myocardial blood flow based on dynamic contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian models

Journal of the Royal Statistical Society Series C: Applied Statistics, 2022-11, Vol.71 (5), p.1085-1115

2022

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Inferring spatially varying animal movement characteristics using a hierarchical continuous‐time velocity model

Ecology letters, 2022-12, Vol.25 (12), p.2726-2738

2022

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Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge

Statistical Applications in Genetics and Molecular Biology, 2007-05, Vol.6 (1), p.15-Article15

2007

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Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models

Scientific reports, 2017-10, Vol.7 (1), p.13527-14, Article 13527

2017

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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010885

2023

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Statistical inference of regulatory networks for circadian regulation

Statistical applications in genetics and molecular biology, 2014-06, Vol.13 (3), p.227-273

2014

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Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation

Journal of the Royal Statistical Society Series C: Applied Statistics, 2019-11, Vol.68 (5), p.1555-1576

2019

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Discriminating between rate heterogeneity and interspecific recombination in DNA sequence alignments with phylogenetic factorial hidden Markov models

Bioinformatics, 2005-09, Vol.21 (suppl-2), p.ii166-ii172

Husmeier, Dirk

2005

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Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure

TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops

Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics

Statistical modelling of cell movement

Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data

LIES of omission: complex observation processes in ecology

Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle

Bayesian Inversion of Frequency-Domain Airborne EM Data With Spatial Correlation Prior Information

The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks

Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI

Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance

Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid‐dynamics model of the pulmonary circulation

Approximate Bayesian inference in semi-mechanistic models

Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications

Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics

Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation

Wisdom of crowds for robust gene network inference

Classification of myocardial blood flow based on dynamic contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian models

Inferring spatially varying animal movement characteristics using a hierarchical continuous‐time velocity model

Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge

Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A

Statistical inference of regulatory networks for circadian regulation

Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation

Discriminating between rate heterogeneity and interspecific recombination in DNA sequence alignments with phylogenetic factorial hidden Markov models

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