Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty | Paper Citation Record

Observation 2c929df4-6348-4014-9bb9-747c70715c91 · outbound

This paper cites 4d flow cardiovascular magnetic resonance consensus statement: 2023 update,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty 4d flow cardiovascular magnetic resonance consensus statement: 2023 update,

Reference 1

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This paper cites 4d flow mri,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty 4d flow mri,

Reference 2

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Observation 493284f9-bc9a-4aaf-be1b-6908ac9f6d0d · outbound

This paper cites Comparison of 4d flow and 2d velocity-encoded phase contrast mri sequences for the evaluation of aortic hemodynamics,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Comparison of 4d flow and 2d velocity-encoded phase contrast mri sequences for the evaluation of aortic hemodynamics,

Reference 3

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This paper cites Ultrasound vector flow imaging-part i: Sequential systems,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Ultrasound vector flow imaging-part i: Sequential systems,

Reference 4

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This paper cites Ultrasound vector flow imaging-part ii: Parallel systems,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Ultrasound vector flow imaging-part ii: Parallel systems,

Reference 5

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This paper cites Unifying perspective for gappy proper orthogonal decomposition and probabilistic principal component analysis,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Unifying perspective for gappy proper orthogonal decomposition and probabilistic principal component analysis,

Reference 6

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This paper cites Proper orthogonal decomposition truncation method for data denoising and order reduction,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Proper orthogonal decomposition truncation method for data denoising and order reduction,

Reference 7

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This paper cites Denoising and spatial resolution enhancement of 4d flow mri using proper orthogonal decomposition and lasso regularization,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Denoising and spatial resolution enhancement of 4d flow mri using proper orthogonal decomposition and lasso regularization,

Reference 8

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This paper cites Towards reduced order models via robust proper orthogonal decomposition to capture personalised aortic haemody- namics,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Towards reduced order models via robust proper orthogonal decomposition to capture personalised aortic haemody- namics,

Reference 9

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Observation 854d456a-e3de-4693-ac72-bfd3a4e39ea7 · outbound

This paper cites Frequency–time analysis, low-rank reconstruction and denoising of turbulent flows using spod,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Frequency–time analysis, low-rank reconstruction and denoising of turbulent flows using spod,

Reference 10

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This paper cites Data-driven cardiovascular flow modelling: examples and opportu- nities,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Data-driven cardiovascular flow modelling: examples and opportu- nities,

Reference 11

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Observation 5a202e8c-7bb6-46f0-95cd-f908a837e385 · outbound

This paper cites Dynamicmodedecomposition as a framework for denoising ultrafast power doppler images,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Dynamicmodedecomposition as a framework for denoising ultrafast power doppler images,

Reference 12

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Observation 70a210cb-308b-4c0a-a896-14cee462efeb · outbound

This paper cites Tricubic interpolation in three dimensions,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Tricubic interpolation in three dimensions,

Reference 13

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Observation c2d0d70e-afd5-4944-8794-32082908890a · outbound

This paper cites Reconstruction of divergence-free velocity fields from cine 3d phase-contrast flow measurements,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Reconstruction of divergence-free velocity fields from cine 3d phase-contrast flow measurements,

Reference 14

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Observation b74e4115-83c3-418f-aef3-e246d71cf8ca · outbound

This paper cites Robust 4d flow denoising using divergence-free wavelet transform,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Robust 4d flow denoising using divergence-free wavelet transform,

Reference 15

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Observation 98de0e12-6928-4e4e-9b39-1c16a4cd671b · outbound

This paper cites Simvascular: An open source pipeline for cardiovascular simulation,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Simvascular: An open source pipeline for cardiovascular simulation,

Reference 16

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This paper cites Crimson: An open-source software framework for cardiovascular integrated modelling and simulation,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Crimson: An open-source software framework for cardiovascular integrated modelling and simulation,

Reference 17

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Observation de74e1de-f45c-40bd-8175-c6e44050f78f · outbound

This paper cites Boundary control in computational haemodynamics,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Boundary control in computational haemodynamics,

Reference 18

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Observation 450f801f-7064-4c5b-bf9e-5ce8663148b1 · outbound

This paper cites Fourier spectral dynamic data assimilation: Interlacing cfd with 4d flow mri,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Fourier spectral dynamic data assimilation: Interlacing cfd with 4d flow mri,

Reference 19

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Observation 480b9691-612b-4573-be7f-e30b5e550ab6 · outbound

This paper cites Harmonic balance techniques in cardiovascular fluid mechanics,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Harmonic balance techniques in cardiovascular fluid mechanics,

Reference 20

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Observation f4682948-bfae-4aa8-879e-fdefb909a186 · outbound

This paper cites Variational data assimilation for transient blood flow simulations: Cerebral aneurysms as an illustrative example,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Variational data assimilation for transient blood flow simulations: Cerebral aneurysms as an illustrative example,

Reference 21

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Observation 83b05588-27ac-45bd-bf2e-b5b81c5908ea · outbound

This paper cites Joint reconstruction and segmentationofnoisyvelocityimagesasaninversenavier–stokesproblem,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Joint reconstruction and segmentationofnoisyvelocityimagesasaninversenavier–stokesproblem,

Reference 22

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Observation e0b22842-df01-4a91-9bed-b05aacac9d20 · outbound

This paper cites Bayesian inverse navier–stokes problems: joint flow field reconstruction and parameter learning,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Bayesian inverse navier–stokes problems: joint flow field reconstruction and parameter learning,

Reference 23

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Observation 0b8f215f-6878-4a7f-a8c8-44ded3acee28 · outbound

This paper cites Enhancement of cerebrovascular 4d flow mri velocity fields using machine learning and computational fluid dynamics simulation data,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Enhancement of cerebrovascular 4d flow mri velocity fields using machine learning and computational fluid dynamics simulation data,

Reference 24

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This paper cites Srflow: Deep learning based super-resolution of 4d-flow mri data,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Srflow: Deep learning based super-resolution of 4d-flow mri data,

Reference 25

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Observation 4e6ed773-895e-4295-aad7-47b6ebc7c7c1 · outbound

This paper cites Mesh-based super-resolution of fluid flows with multiscale graph neural networks,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Mesh-based super-resolution of fluid flows with multiscale graph neural networks,

Reference 26

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Observation 94927d2c-e634-4ccf-aba2-c1332a5b0b0b · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 27

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Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Physics-informed machine learning,

Reference 28

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This paper cites Super- resolution and denoising of 4d-flow mri using physics-informed deep neural nets,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Super- resolution and denoising of 4d-flow mri using physics-informed deep neural nets,

Reference 29

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This paper cites Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data,

Reference 30

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This paper cites Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels,

Reference 31

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Observation d67ac604-c982-4d4c-b3ae-0b1fd04c4654 · outbound

This paper cites Physics-informed graph neural galerkin networks: A unified framework for solving pde-governed forward and inverse problems,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Physics-informed graph neural galerkin networks: A unified framework for solving pde-governed forward and inverse problems,

Reference 32

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Observation 9dc9f206-1b5e-4bfe-905b-e494fbf7852d · outbound

This paper cites Unsupervised denoising and super-resolution of vascular flow data by physics-informed machine learning,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Unsupervised denoising and super-resolution of vascular flow data by physics-informed machine learning,

Reference 33

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This paper cites Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation,

Reference 34

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This paper cites Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks,

Reference 35

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This paper cites Bayesian inference for pde-based inverse problems using the optimization of a discrete loss,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Bayesian inference for pde-based inverse problems using the optimization of a discrete loss,

Reference 36

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Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Unresolved cited work

Reference 37

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Observation 2668d5ad-3224-4e1a-b67e-72d6f46b05da · outbound

This paper cites Dataassimilationfornavier-stokesusingtheleast-squaresfinite-element method,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Dataassimilationfornavier-stokesusingtheleast-squaresfinite-element method,

Reference 38

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Observation 3f10fccd-1341-4e2b-918e-2a4dda9d2e02 · outbound

This paper cites Weighted least- squares finite elements based on particle imaging velocimetry data,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Weighted least- squares finite elements based on particle imaging velocimetry data,

Reference 39

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Observation c92f16bd-6b0c-49b2-a079-b4adbb7ad516 · outbound

This paper cites Bayesian inference for data assimilation using least-squares finite element methods,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Bayesian inference for data assimilation using least-squares finite element methods,

Reference 40

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Observation 17989416-05c4-4321-afb4-960a7978126b · outbound

This paper cites Skilling,Maximum Entropy and Bayesian Methods : Cambridge, England, 1988 / edited by John Skilling.Fundamental Theories of Physics, 36, Dordrecht: Springer Netherlands, 1st ed.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Skilling,Maximum Entropy and Bayesian Methods : Cambridge, England, 1988 / edited by John Skilling.Fundamental Theories of Physics, 36, Dordrecht: Springer Netherlands, 1st ed

Reference 41

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Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Entropy, information, and the updating of probabilities,

Reference 42

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Observation 138893b4-d676-4ecd-b0c4-c9eb00c62d4d · outbound

This paper cites Adding constraints to bayesian inverse problems,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Adding constraints to bayesian inverse problems,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T10:35:21.483762Z

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Observation e09ebe40-6654-4a7a-be1e-895afa1592d4 · outbound

This paper cites Supplementary material. dolfinx: The next generation fenics problem solving environment,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Supplementary material. dolfinx: The next generation fenics problem solving environment,

Reference 44

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Observation be85198f-e5d9-43e6-a548-8cd72b746b31 · outbound

This paper cites Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell meshes,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell meshes,

Reference 45

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Observation 39f1006b-8046-4ae8-8e5f-07ba0e8f6299 · outbound

This paper cites Basix: a runtime finite element basis evaluation library,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Basix: a runtime finite element basis evaluation library,

Reference 46

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Observation 0b597fd8-f45b-484a-a9ef-f2a31e4c730c · outbound

This paper cites Unified form language: A domain-specific language for weak formulations of partial differential equations,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Unified form language: A domain-specific language for weak formulations of partial differential equations,

Reference 47

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Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Parallel distributed computing using python,

Reference 48

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Observation 30d3e05a-5915-42d4-ac70-ecc14e35bad5 · outbound

This paper cites Balay, S.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Balay, S

Reference 49

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This paper cites Arbtools: A tricubic spline interpolator for three-dimensional scalar or vector fields,.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Arbtools: A tricubic spline interpolator for three-dimensional scalar or vector fields,

Reference 50

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This paper cites Performance tables for the proposed approach and the baseline methods.

Bayesian finite element regression for vascular flow reconstruction with quantified uncertainty Performance tables for the proposed approach and the baseline methods

Reference 51

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