Jennifer Anne Steeden

According to our database, Jennifer Anne Steeden authored at least 16 papers between 2013 and 2026.

Collaborative distances:

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

2026

Rapid online deep artifact suppression for real-time spiral bSSFP CMR with blipped-CAIPI simultaneous multi-slice imaging at 1.5 T.

Julius Åkesson, Iulius Dragonu, Einar Heiberg, Tina Yao, Rebecca Baker, Ruta Virsinskaite, Daniel Knight, Vivek Muthurangu, Jennifer Anne Steeden

CoRR, May, 2026

Training deep learning based dynamic MR image reconstruction using synthetic fractals.

Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, March, 2026

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, June, 2025

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, February, 2025

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

2023

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction.

Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Åkesson, Ruta Virsinskaite, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu

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

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 H. Rathod, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 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

2022

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

2020

Machine Learning in Magnetic Resonance Imaging: Image Reconstruction.

Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden

CoRR, 2020

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

2018

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

2015

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

2013

Implementation of a Heterogeneous Image Reconstruction System for Clinical Magnetic Resonance.

Grzegorz Tomasz Kowalik, Jennifer Anne Steeden, David Atkinson, Andrew Taylor, Vivek Muthurangu

Proceedings of the Parallel Processing and Applied Mathematics, 2013