fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 376 | 2018 |
End-to-end variational networks for accelerated MRI reconstruction A Sriram, J Zbontar, T Murrell, A Defazio, CL Zitnick, N Yakubova, F Knoll, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 78 | 2020 |
Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ... AJR. American journal of roentgenology 215 (6), 1421, 2020 | 52 | 2020 |
Artificial intelligence for MR image reconstruction: an overview for clinicians DJ Lin, PM Johnson, F Knoll, YW Lui Journal of Magnetic Resonance Imaging 53 (4), 1015-1028, 2021 | 42 | 2021 |
Conditional generative adversarial network for 3D rigid‐body motion correction in MRI PM Johnson, M Drangova Magnetic Resonance in Medicine 82 (3), 901-910, 2019 | 34 | 2019 |
Motion correction in MRI using deep learning PM Johnson, M Drangova Proceedings of the ISMRM Scientific Meeting & Exhibition, Paris 4098, 1-4, 2018 | 21 | 2018 |
Design and evaluation of an MRI‐compatible linear motion stage MA Tavallaei, PM Johnson, J Liu, M Drangova Medical physics 43 (1), 62-71, 2016 | 21 | 2016 |
Improving the speed of MRI with artificial intelligence PM Johnson, MP Recht, F Knoll Seminars in musculoskeletal radiology 24 (01), 012-020, 2020 | 20 | 2020 |
Retrospective 3D motion correction using spherical navigator echoes PM Johnson, J Liu, T Wade, MA Tavallaei, M Drangova Magnetic resonance imaging 34 (9), 1274-1282, 2016 | 17 | 2016 |
Rigid-body motion correction in hybrid PET/MRI using spherical navigator echoes PM Johnson, R Taylor, T Whelan, JD Thiessen, U Anazodo, M Drangova Physics in Medicine & Biology 64 (8), 08NT03, 2019 | 11 | 2019 |
Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks MVW Zibetti, PM Johnson, A Sharafi, K Hammernik, F Knoll, RR Regatte Scientific reports 10 (1), 1-14, 2020 | 6 | 2020 |
Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ... International Workshop on Machine Learning for Medical Image Reconstruction …, 2021 | 5 | 2021 |
Joint multi-anatomy training of a variational network for reconstruction of accelerated magnetic resonance image acquisitions PM Johnson, MJ Muckley, M Bruno, E Kobler, K Hammernik, T Pock, ... International Workshop on Machine Learning for Medical Image Reconstruction …, 2019 | 4 | 2019 |
Deep learning reconstruction enables highly accelerated biparametric mr imaging of the prostate PM Johnson, A Tong, A Donthireddy, K Melamud, R Petrocelli, P Smereka, ... Journal of Magnetic Resonance Imaging 56 (1), 184-195, 2022 | 2 | 2022 |
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction Z Huang, J Bae, PM Johnson, T Sood, L Heacock, J Fogarty, L Moy, ... International Workshop on Machine Learning for Medical Image Reconstruction …, 2021 | 1 | 2021 |
Motion correction of PET images using Spherical Navigator echoes (SNAVs) on a hybrid PET-MR scanner P Johnson, R Taylor, T Whelan, M Drangova Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France, 2654, 2018 | 1 | 2018 |
New-Generation Low-Field Magnetic Resonance Imaging of Hip Arthroplasty Implants Using Slice Encoding for Metal Artifact Correction: First In Vitro Experience at 0.55 T and … I Khodarahmi, IM Brinkmann, DJ Lin, M Bruno, PM Johnson, F Knoll, ... Investigative radiology 57 (8), 517, 2022 | | 2022 |
Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings N Haq, P Johnson, A Maier, T Würfl, J Yoo Springer Nature, 2021 | | 2021 |
Machine Learning for Medical Image Reconstruction: Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings F Deeba, P Johnson, T Würfl, JC Ye Springer Nature, 2020 | | 2020 |
Conditional generative adversarial network for three-dimensional rigid-body motion correction in MRI P Johnson, M Drangova Proc. Intl. Soc. Mag. Reson. Med 27, 4698, 2019 | | 2019 |