David N. Firmin

发表

Flow and motion: implications on cardiac MR

Guang-Zhong Yang, Jennifer Keegan, Peter Gatehouse, 2001, Proceedings International Workshop on Medical Imaging and Augmented Reality.

Blood Flow: Quantitative Measurement by MRI

David N. Firmin, Raad H. Mohiaddin, R. Mohiaddin, 2007 .

Motion-Compensated MR Valve Imaging with COMB Tag Tracking and Super-Resolution Enhancement

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2006, MICCAI.

Structure adaptive anisotropic image filtering

Guang-Zhong Yang, David N. Firmin, Peter Burger, 1996, Image Vis. Comput..

Fully automatic segmentation and objective assessment of atrial scars for long‐standing persistent atrial fibrillation patients using late gadolinium‐enhanced MRI

Guang Yang, Lei Li, Xiahai Zhuang, 2017, Medical physics.

Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework

Guang Yang, Lei Li, Xiahai Zhuang, 2018, STACOM@MICCAI.

Predictive cardiac motion modelling and correction

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2003, CARS.

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI

Guang Yang, Lei Li, Xiahai Zhuang, 2017, Medical Imaging.

Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images

Guang Yang, Jun Chen, Elsa D. Angelini, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images

Guang Yang, Lei Li, Xiahai Zhuang, 2018, MICCAI.

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network

Konstantinos Kamnitsas, Daniel Rueckert, Jennifer Keegan, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images

Guang Yang, Raad Mohiaddin, Jennifer Keegan, 2016, SPIE Medical Imaging.

Deep De-Aliasing for Fast Compressive Sensing MRI pdf

Guang Yang, Yike Guo, Simon R. Arridge, 2017, ArXiv.

Motion analysis for magnetic resonance myocardial perfusion imaging

Guang-Zhong Yang, David N. Firmin, Peter Burger, 1997 .

Comparison of flow and wall shear stress in normal and stenotic coronary arteries

Guang-Zhong Yang, Xiao Yun Xu, David N. Firmin, 2006 .

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation pdf

Guang Yang, Jun Chen, Elsa D. Angelini, 2018, MICCAI.

Exploiting distributed medical image database systems-general considerations and implementation experience

David N. Firmin, S. R. Underwood, Donald B. Longmore, 1993, Proceedings of Computers in Cardiology Conference.

Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging

Daniel Rueckert, Guang-Zhong Yang, Peter Gatehouse, 1998, Medical Image Anal..

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders

Guang Yang, Xiahai Zhuang, Raad Mohiaddin, 2017, MIUA.

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI

Guang Yang, Daniel Rueckert, Pedro Ferreira, 2018, MICCAI.

MR Image-Based Geometric and Hemodynamic Investigation of the Right Coronary Artery with Dynamic Vessel Motion

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2010, Annals of Biomedical Engineering.

Comparison of two-dimensional and multi-slab three-dimensional magnetic resonance techniques for measuring carotid wall volumes

David N. Firmin, Peter D. Gatehouse, Dj Pennell, 2008 .

Predictive cardiac motion modeling and correction with partial least squares regression

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2004, IEEE Transactions on Medical Imaging.

A novel imaging strategy for structural segmentation of the left ventricle

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2001, Proceedings International Workshop on Medical Imaging and Augmented Reality.

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Guang Yang, Guoyan Zheng, Jean-Yves Ramel, 2019, Medical Image Anal..

Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients

Guang Yang, Xiahai Zhuang, Lei Li, 2017, Medical Imaging.

Atrial scars segmentation via potential learning in the graph-cuts framework pdf

Guang Yang, Lei Li, Xiahai Zhuang, 2018, ArXiv.

A CFD STUDY ON CORONARY ARTERY HAEMODYNAMICS WITH DYNAMIC VESSEL MOTION BASED ON MR IMAGES

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2008 .

Computational Flow Modeling of the Left Ventricle Based on In Vivo MRI Data: Initial Experience

A. D. Gosman, David N. Firmin, Nigel B. Wood, 2001, Annals of Biomedical Engineering.

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction pdf

Guang Yang, Daniel Rueckert, Andreas K. Maier, 2018, MICCAI.

Virtual tagging for analysing cardiac deformation

Guang-Zhong Yang, Peter Gatehouse, David N. Firmin, 2001, Proceedings International Workshop on Medical Imaging and Augmented Reality.

Bayesian Motion Recovery Framework for Myocardial Phase-Contrast Velocity MRI

Su-Lin Lee, Guang-Zhong Yang, David N. Firmin, 2008, MICCAI.

Rapid 7-dimensional imaging of pulsatile flow

David N. Firmin, Donald B. Longmore, Philip J. Kilner, 1993, Proceedings of Computers in Cardiology Conference.

Atrial scar quantification via multi-scale CNN in the graph-cuts framework

Guang Yang, Lei Li, Xiahai Zhuang, 2019, Medical Image Anal..

Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2007, Medical Image Anal..

Translational Motion Compensation for Soft Tissue Velocity Images pdf

Duncan Fyfe Gillies, Guang-Zhong Yang, Jennifer Keegan, 2018, ArXiv.

Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI

Guang Yang, Raad Mohiaddin, Jennifer Keegan, 2016, ICISP.

Structure Adaptive Anisotropic Filtering for Magnetic Resonance Image Enhancement

Guang-Zhong Yang, David N. Firmin, Peter Burger, 1995, CAIP.

A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images

Guang Yang, Xiahai Zhuang, Raad Mohiaddin, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Combined CFD/MRI Analysis of Left Ventricular Flow

Quan Long, Guang-Zhong Yang, David N. Firmin, 2004, Medical Imaging and Augmented Reality.

Subject-specific motion correction factors for magnetic resonance coronary angiography

Guang-Zhong Yang, Jennifer Keegan, Peter Gatehouse, 2001, Proceedings International Workshop on Medical Imaging and Augmented Reality.

Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases

Guang-Zhong Yang, Jennifer Keegan, David N. Firmin, 2014, STACOM.

Recent advances in artificial intelligence for cardiac imaging

Guang Yang, David N. Firmin, Heye Zhang, 2021, Comput. Medical Imaging Graph..

AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis pdf

Guang Yang, Daniel Rueckert, Carola-Bibiane Schönlieb, 2021, Proceedings of the IEEE.

Beat-to-beat respiratory motion correction with near 100% efficiency: a quantitative assessment using high-resolution coronary artery imaging☆

Jennifer Keegan, David N. Firmin, D. Firmin, 2011, Magnetic resonance imaging.

An in-vivo comparison of stimulated-echo and motion compensated spin-echo sequences for 3 T diffusion tensor cardiovascular magnetic resonance at multiple cardiac phases

David N. Firmin, Zohya Khalique, Sonia Nielles-Vallespin, 2018, Journal of Cardiovascular Magnetic Resonance.

3D cine velocity reconstruction using the method of convex projections

David N. Firmin, Donald B. Longmore, Philip J. Kilner, 1993, Proceedings of Computers in Cardiology Conference.

Progress Towards Patient-Specific Computational Flow Modeling of the Left Heart via Combination of Magnetic Resonance Imaging with Computational Fluid Dynamics

Guang-Zhong Yang, A. D. Gosman, David N. Firmin, 2004, Annals of Biomedical Engineering.

The Cardiovascular Magnetic Resonance Machine: Hardware and Software Requirements

David N. Firmin, Peter D. Gatehouse, D. Firmin, 2000, Herz.

Intercentre Reproducibility of Magnetic Resonance T2* Measurements of Myocardial Iron in Thalassaemia

David N. Firmin, Dudley J. Pennell, D. Pennell, 2005, The International Journal of Cardiovascular Imaging.

Cine magnetic resonance blood flow imaging in clinical use

David N. Firmin, Donald B. Longmore, S. R. Underwood, 1986 .

Transient streamlines: texture synthesis for in vivo flow visualisation

Guang-Zhong Yang, David N. Firmin, Raad H. Mohiaddin, 2004, The International Journal of Cardiac Imaging.

Abstract 17191: Bolus Administration T1 Mapping as a Marker of Interstitial Myocardial Fibrosis in Severe Aortic Stenosis

Pierre Croisille, Tevfik F Ismail, David N. Firmin, 2011 .

Magnetic Resonance Jet Velocity Mapping in Mitral and Aortic Valve Stenosis

David N. Firmin, Raad H. Mohiaddin, Donald B. Longmore, 1993, Circulation.

Pulmonary artery distensibility and blood flow patterns: A magnetic resonance study of normal subjects and of patients with pulmonary arterial hypertension

David N. Firmin, Raad H. Mohiaddin, Donald B. Longmore, 1989 .

2082 "Two-dimensional M-Mode" display of the mitral valve from CMR cine acquisitions: insights into normal leaflet and annular motion

David N. Firmin, Robert Merrifield, Philip J. Kilner, 2008 .