Michael Quail

According to our database, Michael Quail authored at least 4 papers between 2019 and 2024.

Collaborative distances:

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

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

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

Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry.

Tina Yao, Nicole St. Clair, Gabriel F. Miller, Adam L. Dorfman, Mark A. Fogel, Sunil J. Ghelani, Rajesh Krishnamurthy, Christopher Z. Lam, Joshua D. Robinson, David Schidlow, Timothy C. Slesnick, Justin Weigand, Michael Quail, Rahul Rathod, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 2023

2019

Rapid Whole-Heart CMR with Single Volume Super-resolution.

Jennifer Anne Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon R. Arridge, Rodney Jones, Vivek Muthurangu

CoRR, 2019