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ORCIDSimon R. Arridge
- > Home > Persons > Simon R. Arridge
Publications
- 2023
[j54]Efthymios Maneas
, Andreas Hauptmann, Erwin J. Alles, Wenfeng Xia, Sacha Noimark, Anna L. David, Simon R. Arridge, Adrien E. Desjardins:
Enhancement of instrumented ultrasonic tracking images using deep learning. Int. J. Comput. Assist. Radiol. Surg. 18(2): 395-399 (2023)- [i27]Simon R. Arridge, Andreas Hauptmann, Yury Korolev:
Inverse Problems with Learned Forward Operators. CoRR abs/2311.12528 (2023) - 2022
- [j51]Meghdoot Mozumder, Andreas Hauptmann, Ilkka Nissilä, Simon R. Arridge, Tanja Tarvainen:
A Model-Based Iterative Learning Approach for Diffuse Optical Tomography. IEEE Trans. Medical Imaging 41(5): 1289-1299 (2022) - [i22]Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann:
Unsupervised denoising for sparse multi-spectral computed tomography. CoRR abs/2211.01159 (2022) - 2021
- [j50]Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon R. Arridge, Françoise Peyrin:
Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach. IEEE Access 9: 25632-25647 (2021) - [j48]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction in Inverse Problems. SIAM J. Imaging Sci. 14(1): 92-127 (2021) - [i19]Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin:
Unsupervised Knowledge-Transfer for Learned Image Reconstruction. CoRR abs/2107.02572 (2021) - [i17]Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon R. Arridge, Adrien E. Desjardins, Mikko J. Sillanpää, Andreas Hauptmann:
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data. CoRR abs/2111.09631 (2021) - 2020
- [j46]Simon R. Arridge, Andreas Hauptmann:
Networks for Nonlinear Diffusion Problems in Imaging. J. Math. Imaging Vis. 62(3): 471-487 (2020) - [j45]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. IEEE Trans. Computational Imaging 6: 843-856 (2020) - [c45]Suzanne Bussod, Juan F. P. J. Abascal, Simon R. Arridge, Andreas Hauptmann, Christine Chappard, Nicolas Ducros, Françoise Peyrin:
Convolutional Neural Network for Material Decomposition in Spectral CT Scans. EUSIPCO 2020: 1259-1263 - [c43]Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Suzanne Bussod, Andreas Hauptmann, Simon R. Arridge, Philippe Douek, Françoise Peyrin:
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach. ISBI Workshops 2020: 1-4 - [i16]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction. CoRR abs/2005.07069 (2020) - [i15]Simon Robert Arridge, Pascal Fernsel, Andreas Hauptmann:
Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems. CoRR abs/2005.14042 (2020) - [i12]Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon R. Arridge, Bangti Jin:
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. CoRR abs/2011.08413 (2020) - 2019
- [i10]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. CoRR abs/1908.00936 (2019) - [i9]Jennifer Anne Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon R. Arridge, Rodney Jones, Vivek Muthurangu:
Rapid Whole-Heart CMR with Single Volume Super-resolution. CoRR abs/1912.10503 (2019) - 2018
- [j36]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Jonas Adler, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Trans. Medical Imaging 37(6): 1382-1393 (2018) - [c41]Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge:
Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. MLMIR@MICCAI 2018: 103-111 - [i8]Andreas Hauptmann, Simon R. Arridge, Felix Lucka, Vivek Muthurangu, Jennifer Anne Steeden:
Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. CoRR abs/1803.05192 (2018) - [i7]Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge:
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction. CoRR abs/1807.03191 (2018) - [i6]Simon R. Arridge, Andreas Hauptmann:
Networks for Nonlinear Diffusion Problems in Imaging. CoRR abs/1811.12084 (2018) - 2017
- [i3]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model based learning for accelerated, limited-view 3D photoacoustic tomography. CoRR abs/1708.09832 (2017)
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