Journal Papers (arXiv)
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
arXiv preprint arXiv:2212.10817
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
Ke Wang, Jonathan I Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella Yu, Michael Lustig
Magnetic Resonance in Medicine.
Implicit data crimes: Machine learning bias arising from misuse of public data
Efrat Shimron, Jonathan I Tamir, Ke Wang, Michael Lustig
arXiv preprint arXiv:2109.08237 Proceedings of the National Academy of Sciences, 119(13), e2117203119.
Memory-efficient Learning for High-Dimensional MRI Reconstruction (Accepted by MICCAI 2021)
Ke Wang, Michael Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
arXiv preprint arXiv:2103.04003
OUTCOMES: Rapid Under-sampling Optimization achieves up to 50% improvements in reconstruction accuracy for multi-contrast MRI sequences
Ke Wang, Enhao Gong, Yuxin Zhang, Suchadrima Banerjee, Greg Zaharchuk, John Pauly
arXiv preprint arXiv:2103.04556
CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge
Oliver Maier, Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper, Agah Karakuzu, Michael Loecher, Franz Patzig, Ye Tian, Ke Wang, Daniel Gallichan, Martin Uecker, Florian Knoll
Magnetic Resonance in Medicine, 85(4), 1821-1839
Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities
Ke Wang, Han Song, Jiahui Zhang, Xinran Zhang, and Hongen Liao
arXiv preprint arXiv:1809.01318
Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging
Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig
IEEE Signal Processing Magazine, 37(1), 94-104.
Conference
Rigorous Uncertainty Estimation for MRI Reconstruction
Ke Wang, Anastasios Angelopoulos, Alfredo De Goyeneche, Amit Kohli, Efrat Shimron, Stella X. Yu, Jitendra Malik, Michael Lustig
In proceedings of the 31th ISMRM Annual Meeting and Exhibition, United Kingdom, 2022 (Oral)
ResoNet: Physics Informed Deep Learning based Off-Resonance Correction Trained on Synthetic Data
Alfredo De Goyeneche, Shreya Ramachandran, Ke Wang, Ekin Karasan, Stella X. Yu, Michael Lustig
In proceedings of the 31th ISMRM Annual Meeting and Exhibition, United Kingdom, 2022 (Oral)
BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI
Efrat Shimron, Alfredo De Goyeneche, Ke Wang, Ali B. Syed, Shreyas Vasanawala, Michael Lustig
In proceedings of the 31th ISMRM Annual Meeting and Exhibition, United Kingdom, 2022 (Oral)
Memory-efficient Learning for Highdimensional MR Reconstruction
Ke Wang, Michael Kellman, Christopher Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu and Michael Lustig
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021
Subtle Inverse Crimes: Naively using publicly available images could make reconstruction results seem misleadingly better!
Efrat Shimron, Jonathan I. Tamir, Ke Wang and Michael Lustig
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021 (Oral)
A Gpu-accelerated Extended Phase Graph Algorithm for Differentiable Optimization and Learning
Somnath Rakshit, Ke Wang, and Jonathan I. Tamir
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021
DSLR+: Enhancing Deep Subspace Learning Reconstruction for High-dimensional MRI
Christopher Sandino, Frank Ong, Ke Wang, Michael Lustig and Shreyas S. Vasanawala.
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021 (Oral)
High-Fidelity Reconstruction with Instance-wise Discriminative Feature Matching Loss
Ke Wang, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
In proceedings of the 29th ISMRM Annual Meeting and Exhibition, France, 2020 (Oral)
High Fidelity Direct-Contrast Synthesis from Magnetic Resonance Fingerprinting in Diagnostic Imaging
Ke Wang, Mariya Doneva, Thomas Amthor, Vera C. Keil, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
In proceedings of the 29th ISMRM Annual Meeting and Exhibition, France, 2020 (Oral)
Non-Invasive Remote Temperature Monitoring Using Microwave-Induced Thermoacoustic Imaging
Hao Nan, Aidan Fitzpatrick, Ke Wang, Amin Arbabian
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 6375-6378. (Oral)
Unsupervised Learning for Improved Fidelity Multi-contrast MRI
Ke Wang, Frank Ong, Jonathan I Tamir, and Michael Lustig
In proceedings of the 28th ISMRM Annual Meeting and Exhibition, Canada, 2019
Real-time Personalized Acquisition Optimization: 30%-50% reconstruction improvements from a 10-second undersampling optimization
Ke Wang, Enhao Gong, Suchandrima Banerjee, John M Pauly, and Greg Zaharchunkt
In proceedings of the 27th ISMRM Annual Meeting and Exhibition, France, 2018
Ultrafast Temperature Estimation from Undersampled K-space for MR Guided Microwave Ablation
Ke Wang, Zijing Dong, Fuyixue Wang, Bingyao Chen, Jiafei Yang, Xing Wei, and Kui Ying
In proceedings of the 27th ISMRM Annual Meeting and Exhibition, France, 2018
Fast Temperature Estimation Using Golden Angle Radial from Undersampled K-space for MR Guided Microwave Ablation
Ke Wang, Zijing Dong, Fuyixue Wang, Bingyao Chen, Jiafei Yang, Xing Wei, and Kui Ying
In proceedings of the 26th ISMRM Annual Meeting and Exhibition, USA, 2017
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