Implementation of a Heterogeneous Image Reconstruction System for Clinical Magnetic Resonance. - Grzegorz Tomasz Kowalik; Jennifer Anne Steeden; David Atkinson; Andrew Taylor; Vivek Muthurangu (PPAM (1), 2013)

Implementation of a generalized heterogeneous image reconstruction system for clinical magnetic resonance. - Grzegorz Tomasz Kowalik; Jennifer Anne Steeden; Vivek Muthurangu (Concurr. Comput. Pract. Exp., 2015)

Differential impact of local stiffening and narrowing on hemodynamics in repaired aortic coarctation: an FSI study. - Liesbeth Taelman; Joris Bols; Joris Degroote; Vivek Muthurangu; Joseph Panzer; Jan A. Vierendeels; Patrick Segers (Medical Biol. Eng. Comput., 2016)

Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. - Andreas Hauptmann; Simon R. Arridge; Felix Lucka; Vivek Muthurangu; Jennifer Anne Steeden (CoRR, 2018)

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)

Impact of predictive medicine on therapeutic decision making: a randomized controlled trial in congenital heart disease. - Huseyin Naci; Maximilian Salcher-Konrad; Alistair Mcguire; Felix Berger; Titus Kühne; Leonid Goubergrits; Vivek Muthurangu; Ben Wilson; Marcus Kelm (npj Digit. Medicine, 2019)

Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. - Javier Montalt-Tordera; Vivek Muthurangu; Andreas Hauptmann; Jennifer Anne Steeden (CoRR, 2020)

The role of artificial intelligence in healthcare: a structured literature review. - Silvana Secinaro; Davide Calandra 001; Aurelio Secinaro; Vivek Muthurangu; Paolo Biancone (BMC Medical Informatics Decis. Mak., 2021)

FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation. - Olivier Jaubert; Javier Montalt-Tordera; James Brown; Daniel Knight; Simon R. Arridge; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 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)

Toward Autonomous Pulmonary Artery Catheterization: A Learning-based Robotic Navigation System. - Yaxi Wang; Vivek Muthurangu; Helge A. Wurdemann (EMBC, 2023)

HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination. - Olivier Jaubert; Javier Montalt-Tordera; Daniel Knight; Simon R. Arridge; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 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; et al. (CoRR, 2023)

GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI. - Michele Pascale; Vivek Muthurangu; Javier Montalt-Tordera; Heather E. Fitzke; Gauraang Bhatnagar; Stuart Taylor; Jennifer Anne Steeden (CoRR, 2023)

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction. - Olivier Jaubert; Michele Pascale; Javier Montalt-Tordera; Julius Akesson; Ruta Virsinskaite; Daniel Knight; Simon R. Arridge; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 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)

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)

MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort. - Tina Yao; Nicole St. Clair; Gabriel F. Miller; FORCE Investigators; Jennifer Anne Steeden; Rahul H. Rathod; Vivek Muthurangu (CoRR, 2025)

High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning. - Mark Wrobel; Michele Pascale; Tina Yao; Ruaraidh Campbell; Elena Milano; Michael Quail; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 2025)