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Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction


Feb 12, 2021
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock

* 10 pages, 9 figures 

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Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction


Dec 22, 2020
Chen Qin, Jinming Duan, Kerstin Hammernik, Jo Schlemper, Thomas Küstner, René Botnar, Claudia Prieto, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert

* In submission 

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Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction


Jul 12, 2020
Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M Summers, Daniel Rueckert

* Presented at 2020 ISMRM Conference & Exhibition (Abstract #4958) 

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$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction


Dec 18, 2019
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert

* Submitted to Magnetic Resonance in Medicine 

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$Σ$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction


Dec 11, 2019
Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik

* fastMRI challenge submission (team: holykspace) 

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Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction


Apr 01, 2019
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akcakaya

* 14 pages, 7 figures 

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Learning a Variational Network for Reconstruction of Accelerated MRI Data


Apr 03, 2017
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P Recht, Daniel K Sodickson, Thomas Pock, Florian Knoll

* Submitted to Magnetic Resonance in Medicine 

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