Michael Lustig

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 29

Top Topics

Matrix Decomposition

Top Venues

IEEE Trans. Medical Imaging

Publications

Han Cui, Alfredo De Goyeneche, Efrat Shimron, Boyuan Ma, Michael Lustig
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts. CoRR (2024)
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 (2023)
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)
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) (2023)
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 (2022)
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)
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 (2021)
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 (2021)
Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. CoRR (2021)
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) (2020)
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 (2020)
Michael R. Kellman, Michael Lustig, Laura Waller
How to do Physics-based Learning. CoRR (2020)
Frank Ong, Martin Uecker, Michael Lustig
Accelerating Non-Cartesian MRI Reconstruction Convergence Using k-Space Preconditioning. IEEE Trans. Medical Imaging 39 (5) (2020)
Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
Memory-efficient Learning for Large-scale Computational Imaging. CoRR (2020)
Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li
Compressed Sensing MRI Reconstruction on Intel HARPv2. FCCM (2019)
Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
Memory-efficient Learning for Large-scale Computational Imaging. CoRR (2019)
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)
Michael R. Kellman, Emrah Bostan, Nicole A. Repina, Michael Lustig, Laura Waller
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. CoRR (2018)
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 (2018)
Frank Ong, Joseph Y. Cheng, Michael Lustig
General Phase Regularized Reconstruction using Phase Cycling. CoRR (2017)
Patrick Virtue, Stella X. Yu, Michael Lustig
Better than real: Complex-valued neural nets for MRI fingerprinting. ICIP (2017)
Patrick Virtue, Stella X. Yu, Michael Lustig
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting. CoRR (2017)
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)
Frank Ong, Michael Lustig
Beyond Low Rank + Sparse: Multiscale Low Rank Matrix Decomposition. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
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)
Frank Ong, Michael Lustig
Beyond low rank + sparse: Multi-scale low rank matrix decomposition. ICASSP (2016)
Patrick Virtue, Michael Lustig
On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction. CoRR (2016)
Martin Uecker, Michael Lustig
Estimating Absolute-Phase Maps Using ESPIRiT and Virtual Conjugate Coils. CoRR (2015)
Frank Ong, Michael Lustig
Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition. CoRR (2015)
Sara Vaziri, Michael Lustig
The fastest gradient waveforms for arbitrary and optimized k-space trajectories. ISBI (2013)
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)
Mark Murphy, Marcus T. Alley, James Demmel, Kurt Keutzer, Shreyas Vasanawala, Michael Lustig
-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime. IEEE Trans. Medical Imaging 31 (6) (2012)
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) (2011)
Boaz Ophir, Michael Lustig, Michael Elad
Multi-Scale Dictionary Learning Using Wavelets. IEEE J. Sel. Top. Signal Process. 5 (5) (2011)
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)
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)
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) (2008)
Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly
Compressed Sensing MRI. IEEE Signal Process. Mag. 25 (2) (2008)
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) (2007)
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd
An Efficient Method for Compressed Sensing. ICIP (3) (2007)
Michael Lustig, Jacob Tsaig, Jin Hyung Lee, David L. Donoho
Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. ISBI (2004)