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Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks
British Library Conference Proceedings | 2022| -
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage
Freier ZugriffBASE | 2020| -
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
Springer Verlag | 2021| -
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
British Library Conference Proceedings | 2021| -
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage
British Library Conference Proceedings | 2020| -
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
Freier ZugriffArXiv | 2022| -
4D Flow Magnetic Resonance Imaging for Left Atrial Haemodynamic Characterization and Model Calibration
British Library Conference Proceedings | 2021| -
In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings
British Library Conference Proceedings | 2022| -
Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation
British Library Conference Proceedings | 2022|