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2020 – today
- 2024
[i16]Han Cui, Alfredo De Goyeneche, Efrat Shimron, Boyuan Ma, Michael Lustig:
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts. CoRR abs/2405.02208 (2024)- 2023
- [j11]Frank Ong, Zheng Zhong
, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly:
SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. IEEE Trans. Medical Imaging 42(5): 1522-1531 (2023) - [c14]Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig:
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. NeurIPS 2023 - [i15]Frédéric Wang, Han Qi, Alfredo De Goyeneche, Reinhard Heckel, Michael Lustig, Efrat Shimron:
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets. CoRR abs/2308.02958 (2023) - 2022
- [i14]Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR abs/2212.10817 (2022) - 2021
- [c13]Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) 2021: 461-470 - [i13]Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR abs/2103.04003 (2021) - [i12]Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig:
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. CoRR abs/2108.12460 (2021) - [i11]Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig:
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. CoRR abs/2109.08237 (2021) - 2020
- [j10]Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig:
Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. IEEE Signal Process. Mag. 37(1): 94-104 (2020) - [j9]Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Trans. Computational Imaging 6: 1403-1414 (2020) - [j8]Frank Ong, Martin Uecker, Michael Lustig:
Accelerating Non-Cartesian MRI Reconstruction Convergence Using k-Space Preconditioning. IEEE Trans. Medical Imaging 39(5): 1646-1654 (2020) - [i10]Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-efficient Learning for Large-scale Computational Imaging. CoRR abs/2003.05551 (2020) - [i9]Michael R. Kellman, Michael Lustig, Laura Waller:
How to do Physics-based Learning. CoRR abs/2005.13531 (2020)
2010 – 2019
- 2019
- [c12]Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li:
Compressed Sensing MRI Reconstruction on Intel HARPv2. FCCM 2019: 254-257 - [i8]Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-efficient Learning for Large-scale Computational Imaging. CoRR abs/1912.05098 (2019) - 2018
- [c11]Michael B. Driscoll, Benjamin Brock, Frank Ong, Jonathan I. Tamir, Hsiou-Yuan Liu, Michael Lustig, Armando Fox, Katherine A. Yelick:
Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction. IPDPS 2018: 495-504 - [i7]Michael R. Kellman, Emrah Bostan, Nicole A. Repina, Michael Lustig, Laura Waller:
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. CoRR abs/1808.03571 (2018) - [i6]Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig:
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR abs/1809.04195 (2018) - 2017
- [c10]Michael R. Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig:
Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction. ICASSP 2017: 1053-1057 - [c9]Patrick Virtue, Stella X. Yu, Michael Lustig:
Better than real: Complex-valued neural nets for MRI fingerprinting. ICIP 2017: 3953-3957 - [i5]Patrick Virtue, Stella X. Yu, Michael Lustig:
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting. CoRR abs/1707.00070 (2017) - [i4]Frank Ong, Joseph Y. Cheng, Michael Lustig:
General Phase Regularized Reconstruction using Phase Cycling. CoRR abs/1709.05374 (2017) - 2016
- [j7]Frank Ong, Michael Lustig:
Beyond Low Rank + Sparse: Multiscale Low Rank Matrix Decomposition. IEEE J. Sel. Top. Signal Process. 10(4): 672-687 (2016) - [c8]Frank Ong, Michael Lustig:
Beyond low rank + sparse: Multi-scale low rank matrix decomposition. ICASSP 2016: 4663-4667 - [c7]Martin K. Brown, Zachary Yannes, Michael Lustig, Mazdak Sanati, Sally A. McKee, Gary S. Tyson, Steven K. Reinhardt:
Agave: A benchmark suite for exploring the complexities of the Android software stack. ISPASS 2016: 157-158 - [i3]Patrick Virtue, Michael Lustig:
On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction. CoRR abs/1610.00410 (2016) - 2015
- [i2]Frank Ong, Michael Lustig:
Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition. CoRR abs/1507.08751 (2015) - [i1]Martin Uecker, Michael Lustig:
Estimating Absolute-Phase Maps Using ESPIRiT and Virtual Conjugate Coils. CoRR abs/1509.03557 (2015) - 2013
- [c6]Sara Vaziri, Michael Lustig:
The fastest gradient waveforms for arbitrary and optimized k-space trajectories. ISBI 2013: 708-711 - [c5]Frank Ong, Martin Uecker, Umar Tariq, Albert Hsiao, Marcus T. Alley, S. S. Vasanawala, Michael Lustig:
Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising. ISBI 2013: 1186-1189 - 2012
- [j6]Mark Murphy, Marcus T. Alley, James Demmel, Kurt Keutzer, Shreyas Vasanawala, Michael Lustig:
Fast ℓ1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime. IEEE Trans. Medical Imaging 31(6): 1250-1262 (2012) - 2011
- [j5]Boaz Ophir, Michael Lustig, Michael Elad:
Multi-Scale Dictionary Learning Using Wavelets. IEEE J. Sel. Top. Signal Process. 5(5): 1014-1024 (2011) - [j4]Tolga Çukur, Michael Lustig, Emine Ulku Saritas, Dwight G. Nishimura:
Signal Compensation and Compressed Sensing for Magnetization-Prepared MR Angiography. IEEE Trans. Medical Imaging 30(5): 1017-1027 (2011) - [c4]Shreyas Vasanawala, M. J. Murphy, Marcus T. Alley, P. Lai, Kurt Keutzer, John M. Pauly, Michael Lustig:
Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. ISBI 2011: 1039-1043
2000 – 2009
- 2009
- [c3]William Grissom, Kim Butts-Pauly, Michael Lustig, Viola Rieke, John M. Pauly, Nathan McDannold:
Regularized Referenceless Temperature Estimation in PRF-Shift MR Thermometry. ISBI 2009: 1235-1238 - 2008
- [j3]Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly:
Compressed Sensing MRI. IEEE Signal Process. Mag. 25(2): 72-82 (2008) - [j2]Michael Lustig, Seung-Jean Kim, John M. Pauly:
A Fast Method for Designing Time-Optimal Gradient Waveforms for Arbitrary k-Space Trajectories. IEEE Trans. Medical Imaging 27(6): 866-873 (2008) - 2007
- [j1]Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd, Dimitry Gorinevsky:
An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares. J. Sel. Topics Signal Processing 1(4): 606-617 (2007) - [c2]Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd:
An Efficient Method for Compressed Sensing. ICIP (3) 2007: 117-120 - 2004
- [c1]Michael Lustig, Jacob Tsaig, Jin Hyung Lee, David L. Donoho:
Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. ISBI 2004: 784-787
Coauthor Index
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