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Patricia M. Johnson
Patricia M. Johnson
New York University Medical Center
Verified email at nyulangone.org
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Cited by
Cited by
Year
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
7372018
End-to-end variational networks for accelerated MRI reconstruction
A Sriram, J Zbontar, T Murrell, A Defazio, CL Zitnick, N Yakubova, F Knoll, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
2382020
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
1412021
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, ...
American Journal of Roentgenology 215 (6), 1421-1429, 2020
1192020
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
832019
Improving the speed of MRI with artificial intelligence
PM Johnson, MP Recht, F Knoll
Seminars in musculoskeletal radiology 24 (01), 012-020, 2020
572020
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
312022
Motion correction in MRI using deep learning
PM Johnson, M Drangova
Proceedings of the ISMRM Scientific Meeting & Exhibition, Paris 4098, 1-4, 2018
272018
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
272016
Deep learning reconstruction enables prospectively accelerated clinical knee MRI
PM Johnson, DJ Lin, J Zbontar, CL Zitnick, A Sriram, M Muckley, JS Babb, ...
Radiology 307 (2), e220425, 2023
242023
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), 517-526, 2022
242022
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
222016
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
192019
Rapid mono and biexponential 3D-T mapping of knee cartilage using variational networks
MVW Zibetti, PM Johnson, A Sharafi, K Hammernik, F Knoll, RR Regatte
Scientific Reports 10 (1), 19144, 2020
162020
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, ...
Machine Learning for Medical Image Reconstruction: 4th International …, 2021
112021
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, ...
Machine Learning for Medical Image Reconstruction: Second International …, 2019
72019
Fastmri prostate: A publicly available, biparametric mri dataset to advance machine learning for prostate cancer imaging
R Tibrewala, T Dutt, A Tong, L Ginocchio, MB Keerthivasan, SH Baete, ...
arXiv preprint arXiv:2304.09254, 2023
32023
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, ...
Machine Learning for Medical Image Reconstruction: 4th International …, 2021
22021
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
22020
Machine Learning for Medical Image Reconstruction: 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
N Haq, P Johnson, A Maier, C Qin, T Würfl, J Yoo
Springer Nature, 2022
12022
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