Jordi Mill

Orcid: 0000-0003-0087-7489

According to our database1, Jordi Mill authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus.
PLoS Comput. Biol., 2024

2023
Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Computational fluid simulations in clinical datasets for understanding thrombus formation before and after left atrial appendage occlusion
PhD thesis, 2022

Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021
In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Shape Analysis and Computational Fluid Simulations to Assess Feline Left Atrial Function and Thrombogenesis.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020
VRIDAA: Virtual Reality Platform for Training and Planning Implantations of Occluder Devices in Left Atrial Appendages.
Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

4D Flow Magnetic Resonance Imaging for Left Atrial Haemodynamic Characterization and Model Calibration.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2018
Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appendage.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Centreline-Based Shape Descriptors of the Left Atrial Appendage in Relation with Thrombus Formation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018


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