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)

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)

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 (XR (2), 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 (XR (2), 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)

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)