Michael Lustig

44 papers A* 1A 1B 2Misc 3Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation. IEEE Trans. Biomed. Circuits Syst. Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig
2025	J	`jnl`	MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation. CoRR Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig
2024	J	`jnl`	Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts. CoRR Han Cui, Alfredo De Goyeneche, Efrat Shimron, Boyuan Ma, Michael Lustig
2024	—	`conf`	The MRDust: Wireless Data Uplink & Localization via Magnetic Resonance Image Modulation. EMBC Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig
2023	J	`jnl`	K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets. CoRR Frédéric Wang, Han Qi, Alfredo De Goyeneche, Reinhard Heckel, Michael Lustig, Efrat Shimron
2023	A*	`conf`	ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. NeurIPS Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig
2023	J	`jnl`	SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. IEEE Trans. Medical Imaging Frank Ong, Zheng Zhong, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly
2022	J	`jnl`	High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. CoRR Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig
2021	—	`conf`	Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. CoRR Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig
2020	J	`jnl`	Accelerating Non-Cartesian MRI Reconstruction Convergence Using k-Space Preconditioning. IEEE Trans. Medical Imaging Frank Ong, Martin Uecker, Michael Lustig
2020	J	`jnl`	Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. IEEE Signal Process. Mag. Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig
2020	J	`jnl`	How to do Physics-based Learning. CoRR Michael R. Kellman, Michael Lustig, Laura Waller
2020	J	`jnl`	Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Trans. Computational Imaging Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2020	J	`jnl`	Memory-efficient Learning for Large-scale Computational Imaging. CoRR Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2019	Misc	`conf`	Compressed Sensing MRI Reconstruction on Intel HARPv2. FCCM Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li
2019	J	`jnl`	Memory-efficient Learning for Large-scale Computational Imaging. CoRR Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2018	J	`jnl`	Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig
2018	A	`conf`	Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction. IPDPS Michael B. Driscoll, Benjamin Brock, Frank Ong, Jonathan I. Tamir, Hsiou-Yuan Liu, Michael Lustig, Armando Fox, Katherine A. Yelick
2018	J	`jnl`	Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. CoRR Michael R. Kellman, Emrah Bostan, Nicole A. Repina, Michael Lustig, Laura Waller
2017	Misc	`conf`	Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction. ICASSP Michael R. Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig
2017	J	`jnl`	Better than Real: Complex-valued Neural Nets for MRI Fingerprinting. CoRR Patrick Virtue, Stella X. Yu, Michael Lustig
2017	B	`conf`	Better than real: Complex-valued neural nets for MRI fingerprinting. ICIP Patrick Virtue, Stella X. Yu, Michael Lustig
2017	J	`jnl`	General Phase Regularized Reconstruction using Phase Cycling. CoRR Frank Ong, Joseph Y. Cheng, Michael Lustig
2016	B	`conf`	Agave: A benchmark suite for exploring the complexities of the Android software stack. ISPASS Martin K. Brown, Zachary Yannes, Michael Lustig, Mazdak Sanati, Sally A. McKee, Gary S. Tyson, Steven K. Reinhardt
2016	J	`jnl`	Beyond Low Rank + Sparse: Multiscale Low Rank Matrix Decomposition. IEEE J. Sel. Top. Signal Process. Frank Ong, Michael Lustig
2016	Misc	`conf`	Beyond low rank + sparse: Multi-scale low rank matrix decomposition. ICASSP Frank Ong, Michael Lustig
2016	J	`jnl`	On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction. CoRR Patrick Virtue, Michael Lustig
2015	J	`jnl`	Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition. CoRR Frank Ong, Michael Lustig
2015	J	`jnl`	Estimating Absolute-Phase Maps Using ESPIRiT and Virtual Conjugate Coils. CoRR Martin Uecker, Michael Lustig
2013	—	`conf`	Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising. ISBI Frank Ong, Martin Uecker, Umar Tariq, Albert Hsiao, Marcus T. Alley, S. S. Vasanawala, Michael Lustig
2013	—	`conf`	The fastest gradient waveforms for arbitrary and optimized k-space trajectories. ISBI Sara Vaziri, Michael Lustig
2012	J	`jnl`	Fast ℓ IEEE Trans. Medical Imaging Mark Murphy, Marcus T. Alley, James Demmel, Kurt Keutzer, Shreyas Vasanawala, Michael Lustig
2011	J	`jnl`	Multi-Scale Dictionary Learning Using Wavelets. IEEE J. Sel. Top. Signal Process. Boaz Ophir, Michael Lustig, Michael Elad
2011	—	`conf`	Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. ISBI Shreyas Vasanawala, M. J. Murphy, Marcus T. Alley, P. Lai, Kurt Keutzer, John M. Pauly, Michael Lustig
2011	J	`jnl`	Signal Compensation and Compressed Sensing for Magnetization-Prepared MR Angiography. IEEE Trans. Medical Imaging Tolga Çukur, Michael Lustig, Emine Ulku Saritas, Dwight G. Nishimura
2009	—	`conf`	Regularized Referenceless Temperature Estimation in PRF-Shift MR Thermometry. ISBI William Grissom, Kim Butts-Pauly, Michael Lustig, Viola Rieke, John M. Pauly, Nathan McDannold
2008	J	`jnl`	A Fast Method for Designing Time-Optimal Gradient Waveforms for Arbitrary k-Space Trajectories. IEEE Trans. Medical Imaging Michael Lustig, Seung-Jean Kim, John M. Pauly
2008	J	`jnl`	Compressed Sensing MRI. IEEE Signal Process. Mag. Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly
2007	—	`conf`	An Efficient Method for Compressed Sensing. ICIP (3) Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd
2007	J	`jnl`	An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares. J. Sel. Topics Signal Processing Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd, Dimitry Gorinevsky
2004	—	`conf`	Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. ISBI Michael Lustig, Jacob Tsaig, Jin Hyung Lee, David L. Donoho