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Ke Wang
Ke Wang
Adobe Inc., Ph.D. Alumni @ UC Berkeley
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
Implicit data crimes: Machine learning bias arising from misuse of public data
E Shimron, JI Tamir, K Wang, M Lustig
Proceedings of the National Academy of Sciences 119 (13), e2117203119, 2022
572022
CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge
O Maier, SH Baete, A Fyrdahl, K Hammernik, S Harrevelt, L Kasper, ...
Magnetic resonance in medicine 85 (4), 1821-1839, 2021
322021
High fidelity deep learning‐based MRI reconstruction with instance‐wise discriminative feature matching loss
K Wang, JI Tamir, A De Goyeneche, U Wollner, R Brada, SX Yu, M Lustig
Magnetic Resonance in Medicine 88 (1), 476-491, 2022
20*2022
Computational MRI with physics-based constraints: Application to multicontrast and quantitative imaging
JI Tamir, F Ong, S Anand, E Karasan, K Wang, M Lustig
IEEE signal processing magazine 37 (1), 94-104, 2020
182020
Implicit data crimes: Machine learning bias arising from misuse of public data
E Shimron, JI Tamir, K Wang, M Lustig
Proceedings of the National Academy of Sciences 119 (13), e2117203119, 2022
17*2022
High fidelity direct-contrast synthesis from magnetic resonance fingerprinting in diagnostic imaging
K Wang, M Doneva, T Amthor, VC Keil, E Karasan, F Tan, JI Tamir, SX Yu, ...
Proceedings of the 28th Annual Meeting of ISMRM 867, 2020
132020
Semi-supervised Parametric Real-world Image Harmonization
K Wang, M Gharbi, H Zhang, Z Xia, E Shechtman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Memory-efficient Learning for High-Dimensional MRI Reconstruction
K Wang, M Kellman, CM Sandino, K Zhang, SS Vasanawala, JI Tamir, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
122021
High‐fidelity direct contrast synthesis from magnetic resonance fingerprinting
K Wang, M Doneva, J Meineke, T Amthor, E Karasan, F Tan, JI Tamir, ...
Magnetic Resonance in Medicine, 2023
92023
Resonet: Noise-trained physics-informed mri off-resonance correction
A De Goyeneche, S Ramachandran, K Wang, E Karasan, J Cheng, SX Yu, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023
5*2023
Rigorous Uncertainty Estimation for MRI Reconstruction
K Wang, A Angelopoulos, A De Goyeneche, A Kohli, E Shimron, S Yu, ...
Proceedings of the Proceedings of the 30th Annual Meeting of ISMRM 749, 2022
22022
BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI
E Shimron, A De Goyeneche, K Wang, A Halgren, AB Syed, ...
Proceedings of the Proceedings of the 30th Annual Meeting of ISMRM 684, 2022
22022
OUTCOMES: Rapid Under-sampling Optimization achieves up to 50% improvements in reconstruction accuracy for multi-contrast MRI sequences
K Wang, E Gong, Y Zhang, S Banerjee, G Zaharchuk, J Pauly
arXiv preprint arXiv:2103.04566, 2021
22021
DSLR+: Enhancing deep subspace learning reconstruction for high-dimensional MRI
CM Sandino, F Ong, K Wang, M Lustig, SS Vasanawala
Proc Int Soc Magn Reson Med, 2021
22021
A GPU-accelerated Extended Phase Graph Algorithm for differentiable optimization and learning
S Rakshit, K Wang, JI Tamir
Proc. Intl. Soc. Mag. Reson. Med, 2021
12021
Non-invasive remote temperature monitoring using microwave-induced thermoacoustic imaging
H Nan, A Fitzpatrick, K Wang, A Arbabian
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
12019
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
A De Goyeneche Macaya, S Ramachandran, K Wang, E Karasan, ...
Advances in Neural Information Processing Systems 36, 2024
2024
Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency
K Wang
University of California, Berkeley, 2023
2023
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
K Wang, M Doneva, J Meineke, T Amthor, E Karasan, F Tan, JI Tamir, ...
arXiv preprint arXiv:2212.10817, 2022
2022
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results
E Shimron, JI Tamir, K Wang, M Lustig
arXiv preprint arXiv:2109.08237, 2021
2021
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