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Picture for Andreas Hauptmann

Is Deep Image Prior in Need of a Good Education?


Nov 23, 2021
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter MaaƟ, Bangti Jin


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Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data


Nov 18, 2021
Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon Arridge, Adrien Desjardins, Mikko J. SillanpƤƤ, Andreas Hauptmann

* 12 pages, 7 figures 

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Unsupervised Knowledge-Transfer for Learned Image Reconstruction


Jul 06, 2021
Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin


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Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems


Mar 28, 2021
William Herzberg, Daniel B. Rowe, Andreas Hauptmann, Sarah J. Hamilton

* 9 figures, 3 tables 

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An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values


Dec 14, 2020
Danny Smyl, Tyler N. Tallman, Dong Liu, Andreas Hauptmann


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Machine Learning in Magnetic Resonance Imaging: Image Reconstruction


Dec 09, 2020
Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden

* 34 pages, 3 figures, 1 table. review article 

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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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Deep Learning in Photoacoustic Tomography: Current approaches and future directions


Sep 16, 2020
Andreas Hauptmann, Ben Cox


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On the unreasonable effectiveness of CNNs


Jul 29, 2020
Andreas Hauptmann, Jonas Adler


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Blind hierarchical deconvolution


Jul 22, 2020
Arttu Arjas, Lassi Roininen, Mikko J. SillanpƤƤ, Andreas Hauptmann


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On Learned Operator Correction


May 14, 2020
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schƶnlieb, 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 Ɩktem


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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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Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks


May 08, 2018
Sarah Jane Hamilton, Andreas Hauptmann

* IEEE Transactions on Medical Imaging, 2018 
* 11 pages, 13 figures 

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