Endrit Pajaziti

According to our database, Endrit Pajaziti authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.

Tina Yao, Endrit Pajaziti, Michael Quail, Silvia Schievano, Jennifer Anne Steeden, Vivek Muthurangu

PLoS Comput. Biol., 2024

Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.

Tina Yao, Endrit Pajaziti, Michael Quail, Silvia Schievano, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 2024

VheaRts: Reporting a Single-Centre Experience in Developing and Implementing a Virtual Reality Application for Planning Treatment of Congenital Heart Disease.

Endrit Pajaziti, Silvia Schievano, Andrew C. Cook, Felix Johannes Thiel, Anusha Jegatheeswaran, Georgios Belitsis, Branko Mimic, Martin Kostolny, Claudio Capelli

Proceedings of the Extended Reality - International Conference, 2024

Improving Understanding of Cardiovascular Structures: A Workflow to Visualize Patient-Specific Simulations in Virtual Reality.

Fabrizio Crascì, Endrit Pajaziti, Salvatore Pasta, Liam Swanson, Silvia Schievano, Claudio Capelli

Proceedings of the Extended Reality - International Conference, 2024

2023

Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.

Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Michael Quail, Silvia Schievano, Vivek Muthurangu

PLoS Comput. Biol., 2023

2022

Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.

Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Silvia Schievano, Vivek Muthurangu

CoRR, 2022