Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
Fuente:
arXiv
Saved in:
| Main Authors: | Suk, Julian, de Haan, Pim, Lippe, Phillip, Brune, Christoph, Wolterink, Jelmer M. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-informed graph neural networks for flow field estimation in carotid arteries
by: Suk, Julian, et al.
Published: (2024)
by: Suk, Julian, et al.
Published: (2024)
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation
by: Rygiel, Patryk, et al.
Published: (2025)
by: Rygiel, Patryk, et al.
Published: (2025)
Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
by: Rygiel, Patryk, et al.
Published: (2025)
by: Rygiel, Patryk, et al.
Published: (2025)
CoronaryHemodynamics: An Automated Simulation Framework for Coronary Artery Hemodynamics Using OpenFOAM
by: Mao, Yijin, et al.
Published: (2025)
by: Mao, Yijin, et al.
Published: (2025)
Pressure Field Reconstruction with SIREN: A Mesh-Free Approach for Image Velocimetry in Complex Noisy Environments
by: Miotto, Renato F., et al.
Published: (2025)
by: Miotto, Renato F., et al.
Published: (2025)
Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids
by: Magaña, Efraín, et al.
Published: (2025)
by: Magaña, Efraín, et al.
Published: (2025)
Hemodynamical Behavior Analysis of Anemic, Diabetic, and Healthy Blood Flow in the Carotid Artery
by: Ahmed, Hashnayne, et al.
Published: (2024)
by: Ahmed, Hashnayne, et al.
Published: (2024)
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
by: Nannini, Guido, et al.
Published: (2025)
by: Nannini, Guido, et al.
Published: (2025)
Neural reconstruction of 3D ocean wave hydrodynamics from camera sensing
by: Liu, Jiabin, et al.
Published: (2025)
by: Liu, Jiabin, et al.
Published: (2025)
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
by: Rygiel, Patryk, et al.
Published: (2024)
by: Rygiel, Patryk, et al.
Published: (2024)
Estimating Dynamic Flow Features in Groups of Tracked Objects
by: Harms, Tanner D., et al.
Published: (2024)
by: Harms, Tanner D., et al.
Published: (2024)
Axial Symmetric Navier Stokes Equations and the Beltrami /anti Beltrami spectrum in view of Physics Informed Neural Networks
by: Fré, Pietro
Published: (2025)
by: Fré, Pietro
Published: (2025)
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
by: Franz, Aleksandra, et al.
Published: (2023)
by: Franz, Aleksandra, et al.
Published: (2023)
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
by: Suk, Julian, et al.
Published: (2024)
by: Suk, Julian, et al.
Published: (2024)
A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation
by: Chen, Yu, et al.
Published: (2024)
by: Chen, Yu, et al.
Published: (2024)
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks
by: Kurz, Marius, et al.
Published: (2025)
by: Kurz, Marius, et al.
Published: (2025)
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
by: Poels, Yoeri, et al.
Published: (2024)
by: Poels, Yoeri, et al.
Published: (2024)
Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
by: Rygiel, Patryk, et al.
Published: (2026)
by: Rygiel, Patryk, et al.
Published: (2026)
Comparison of Generative Learning Methods for Turbulence Surrogates
by: Drygala, Claudia, et al.
Published: (2024)
by: Drygala, Claudia, et al.
Published: (2024)
Learning Transient Convective Heat Transfer with Geometry Aware World Models
by: Doganay, Onur T., et al.
Published: (2026)
by: Doganay, Onur T., et al.
Published: (2026)
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
by: Wold, Jacob Wulff, et al.
Published: (2023)
by: Wold, Jacob Wulff, et al.
Published: (2023)
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
by: Baker, Samuel J., et al.
Published: (2024)
by: Baker, Samuel J., et al.
Published: (2024)
Global Transport for Fluid Reconstruction with Learned Self-Supervision
by: Franz, Aleksandra, et al.
Published: (2021)
by: Franz, Aleksandra, et al.
Published: (2021)
Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation
by: Vaish, Puru, et al.
Published: (2025)
by: Vaish, Puru, et al.
Published: (2025)
Artificial Neural Networks and Guided Gene Expression Programming to Predict Wall Pressure Spectra Beneath Turbulent Boundary Layers
by: Kurhade, Nachiketa Narayan, et al.
Published: (2023)
by: Kurhade, Nachiketa Narayan, et al.
Published: (2023)
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
by: Garnier, Paul, et al.
Published: (2025)
by: Garnier, Paul, et al.
Published: (2025)
Computational Assessment of Hemodynamics in Asymmetric-type Lesion of Idealized Coronary Stenoses
by: Oyejide, Ayodele, et al.
Published: (2025)
by: Oyejide, Ayodele, et al.
Published: (2025)
A Priori Assessment of Rotational Invariance in Multiscale Convolutional Neural Network-Based Subgrid-Scale Model for Wall-Bounded Turbulent Flows
by: Jalaali, Bahrul, et al.
Published: (2025)
by: Jalaali, Bahrul, et al.
Published: (2025)
Investigation of Chip Evacuation in Ejector Deep Hole Drilling using Mesh-Free Simulation Methods
by: Rupasinghe, Nuwan, et al.
Published: (2025)
by: Rupasinghe, Nuwan, et al.
Published: (2025)
Explaining the Lack of Mesh Convergence of Inviscid Adjoint Solutions Near Solid Walls for Subcritical Flows
by: Lozano, Carlos, et al.
Published: (2024)
by: Lozano, Carlos, et al.
Published: (2024)
Angled Aortic Cannulation Reduces Cerebral Embolic Transport and Adverse Wall Loading During Cardiopulmonary Bypass: A Patient-Specific Hemodynamic Study
by: Arefin, Nafis M., et al.
Published: (2026)
by: Arefin, Nafis M., et al.
Published: (2026)
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
by: Williams, Josh, et al.
Published: (2023)
by: Williams, Josh, et al.
Published: (2023)
Singularity and Mesh Divergence of Inviscid Adjoint Solutions at Solid Walls
by: Lozano, Carlos, et al.
Published: (2022)
by: Lozano, Carlos, et al.
Published: (2022)
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
by: Vaish, Puru, et al.
Published: (2025)
by: Vaish, Puru, et al.
Published: (2025)
A Mesh-Adaptive Hypergraph Neural Network for Unsteady Flow Around Oscillating and Rotating Structures
by: Gao, Rui, et al.
Published: (2025)
by: Gao, Rui, et al.
Published: (2025)
Error Estimation for Adaptive Mesh Refinement in Droplet Simulations
by: Nathawani, Darsh, et al.
Published: (2025)
by: Nathawani, Darsh, et al.
Published: (2025)
Non-monotonic surface tension leads to spontaneous symmetry breaking in a binary evaporating drop
by: Diddens, Christian, et al.
Published: (2024)
by: Diddens, Christian, et al.
Published: (2024)
Reduced-Order Hydrodynamic Modelling of a Sphere Near a Wall Using Sparse Regression and Neural Operators
by: Hoffman, Zev, et al.
Published: (2025)
by: Hoffman, Zev, et al.
Published: (2025)
Application of Metric-Based Mesh Adaptation to Hypersonic Aerothermal Simulations Using US3D
by: Ekelschot, Dirk
Published: (2026)
by: Ekelschot, Dirk
Published: (2026)
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry
by: Sax, Christian, et al.
Published: (2025)
by: Sax, Christian, et al.
Published: (2025)
Similar Items
-
Physics-informed graph neural networks for flow field estimation in carotid arteries
by: Suk, Julian, et al.
Published: (2024) -
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation
by: Rygiel, Patryk, et al.
Published: (2025) -
Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
by: Rygiel, Patryk, et al.
Published: (2025) -
CoronaryHemodynamics: An Automated Simulation Framework for Coronary Artery Hemodynamics Using OpenFOAM
by: Mao, Yijin, et al.
Published: (2025) -
Pressure Field Reconstruction with SIREN: A Mesh-Free Approach for Image Velocimetry in Complex Noisy Environments
by: Miotto, Renato F., et al.
Published: (2025)