Jennifer Anne Steeden

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training deep learning based dynamic MR image reconstruction using synthetic fractals. CoRR Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer Anne Steeden, Vivek Muthurangu
2025	J	`jnl`	High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning. CoRR Mark Wrobel, Michele Pascale, Tina Yao, Ruaraidh Campbell, Elena Milano, Michael Quail, Jennifer Anne Steeden, Vivek Muthurangu
2025	J	`jnl`	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. CoRR Tina Yao, Nicole St. Clair, Gabriel F. Miller, FORCE Investigators, Jennifer Anne Steeden, Rahul H. Rathod, Vivek Muthurangu
2024	J	`jnl`	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. CoRR Tina Yao, Endrit Pajaziti, Michael Quail, Silvia Schievano, Jennifer Anne Steeden, Vivek Muthurangu
2024	J	`jnl`	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. PLoS Comput. Biol. Tina Yao, Endrit Pajaziti, Michael Quail, Silvia Schievano, Jennifer Anne Steeden, Vivek Muthurangu
2023	J	`jnl`	Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry. CoRR 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
2023	J	`jnl`	GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI. CoRR Michele Pascale, Vivek Muthurangu, Javier Montalt-Tordera, Heather E. Fitzke, Gauraang Bhatnagar, Stuart Taylor, Jennifer Anne Steeden
2023	J	`jnl`	HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination. CoRR Olivier Jaubert, Javier Montalt-Tordera, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
2023	J	`jnl`	Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction. CoRR Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
2022	J	`jnl`	FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation. CoRR Olivier Jaubert, Javier Montalt-Tordera, James Brown, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
2020	J	`jnl`	Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. CoRR Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden
2019	J	`jnl`	Rapid Whole-Heart CMR with Single Volume Super-resolution. CoRR Jennifer Anne Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon R. Arridge, Rodney Jones, Vivek Muthurangu
2018	J	`jnl`	Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. CoRR Andreas Hauptmann, Simon R. Arridge, Felix Lucka, Vivek Muthurangu, Jennifer Anne Steeden
2015	J	`jnl`	Implementation of a generalized heterogeneous image reconstruction system for clinical magnetic resonance. Concurr. Comput. Pract. Exp. Grzegorz Tomasz Kowalik, Jennifer Anne Steeden, Vivek Muthurangu
2013	—	`conf`	Implementation of a Heterogeneous Image Reconstruction System for Clinical Magnetic Resonance. PPAM (1) Grzegorz Tomasz Kowalik, Jennifer Anne Steeden, David Atkinson, Andrew Taylor, Vivek Muthurangu