A detailed up-to-date list is available on Google Scholar.
MR perfusion source mapping depicts venous territories and reveals perfusion modulation during neural activation
Ekin Karasan, Jingjia Chen, Julian Adolfo Maravilla, Zhiyong Zhang, Chunlei Liu, Michael Lustig Nature Communications, 2025
Multiphoton simultaneous multislice imaging
Tanya Deniz Ipek, Victor Han, Julian Adolfo Maravilla, Michael Lustig, Chunlei Liu Magnetic Resonance in Medicine, 2024
Beat Pilot Tone (BPT): Simultaneous MRI and RF motion sensing at arbitrary frequencies
Suma Anand, Michael Lustig Magnetic Resonance in Medicine, 2024
Twstr: A Resonant, Matched MRI Coil without any Discrete Components
Julian A. Maravilla, Michael Lustig, Ana C. Arias IEEE MTT-S International Microwave Biomedical Conference (IMBioC), 2024
The MRDust: Wireless Data Uplink & Localization via Magnetic Resonance Image Modulation
Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024
ResoNet: a Physics-Informed DL Framework for Off-Resonance Correction in MRI Trained with Noise
Alfredo De Goyeneche, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Yitan Cheng, Stella X. Yu, Michael Lustig NeurIPS, 2023
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 Magnetic Resonance in Medicine, 2023
Caterpillar traps: A highly flexible, distributed system of toroidal cable traps
Ekin Karasan, Alison Hammerschmidt, Ana C. Arias, Victor Taracila, Fraser Robb, Michael Lustig Magnetic Resonance in Medicine, 2023
Vacuum formed coils for MRI
Karthik Gopalan, Julian Maravilla, Jaren Mendelsohn, Ana C. Arias, Michael Lustig Magnetic Resonance in Medicine, 2023
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 X. Yu, Michael Lustig Magnetic Resonance in Medicine, 2022
Implicit data crimes: Machine learning bias arising from misuse of public data
Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig Proceedings of the National Academy of Sciences, 2022
DiSpect: Displacement spectrum imaging of flow and tissue perfusion using spin-labeling and stimulated echoes
Zhiyong Zhang, Ekin Karasan, Karthik Gopalan, Chunlei Liu, Michael Lustig Magnetic Resonance in Medicine, 2021
Quantitative anatomy mimicking slice phantoms
Karthik Gopalan, Jonathan I. Tamir, Ana C. Arias, Michael Lustig Magnetic Resonance in Medicine, 2021
Memory-efficient learning for high-dimensional MRI reconstruction
Ke Wang, Michael Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig MICCAI, 2021
SURE-based automatic parameter selection for ESPIRiT calibration
Siddharth Iyer, Frank Ong, Kawin Setsompop, Mariya Doneva, Michael Lustig Magnetic Resonance in Medicine, 2020
Extreme MRI: Large-scale volumetric dynamic imaging from continuous non-gated acquisitions
Frank Ong, Xucheng Zhu, Joseph Y. Cheng, Kevin M. Johnson, Peder EZ Larson, Shreyas S. Vasanawala, Michael Lustig Magnetic Resonance in Medicine, 2020
Memory-efficient learning for large-scale computational imaging
Michael Kellman, Kevin Zhang, Eric Markley, Jonathan Tamir, Emrah Bostan, Michael Lustig, Laura Waller IEEE Transactions on Computational Imaging, 2020
