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Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction


Nov 30, 2020
Riccardo Barbano, Željko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin

* NeurIPS 2020 Workshop on Deep Learning and Inverse Problems 

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Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent


Jul 20, 2020
Riccardo Barbano, Chen Zhang, Simon Arridge, Bangti Jin

* 8 pages, 6 figures 

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On Learned Operator Correction


May 14, 2020
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon Arridge

* 28 pages, 11 Figures 

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Rapid Whole-Heart CMR with Single Volume Super-resolution


Dec 22, 2019
Jennifer A. Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon Arridge, Rodney Jones, Vivek Muthurangu


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Multi-Scale Learned Iterative Reconstruction


Aug 01, 2019
Andreas Hauptmann, Jonas Adler, Simon Arridge, Ozan Öktem


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Networks for Nonlinear Diffusion Problems in Imaging


Nov 29, 2018
Simon Arridge, Andreas Hauptmann


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Approximate k-space models and Deep Learning for fast photoacoustic reconstruction


Jul 09, 2018
Andreas Hauptmann, Ben Cox, Felix Lucka, Nam Huynh, Marta Betcke, Paul Beard, Simon Arridge


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Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease


Jun 14, 2018
Andreas Hauptmann, Simon Arridge, Felix Lucka, Vivek Muthurangu, Jennifer A. Steeden


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Variational Gaussian Approximation for Poisson Data


Sep 18, 2017
Simon Arridge, Kazufumi Ito, Bangti Jin, Chen Zhang

* 26 pages 

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Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition


Jun 22, 2017
Geoffrey Jones, Neil T Clancy, Xiaofei Du, Maria Robu, Simon Arridge, Daniel S Elson, Danail Stoyanov


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Inference of Haemoglobin Concentration From Stereo RGB


Jun 22, 2017
Geoffrey Jones, Neil T. Clancy, Yusuf Helo, Simon Arridge, Daniel S. Elson, Danail Stoyanov

* To appear at the 6th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, held in Bern, Switzerland during August 2016, and in the corresponding proceedings 

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Deep De-Aliasing for Fast Compressive Sensing MRI


May 19, 2017
Simiao Yu, Hao Dong, Guang Yang, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, David Firmin, Yike Guo

* 15 pages, 5 figures 

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