Articles in journals or magazines
Software
Ph.D. Theses
- M. Murphy, "Parallelism, Patterns, and Performance in Iterative MRI Reconstruction," M. Lustig and K. Keutzer, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2011-134, Dec. 2011.
Masters Reports
- F. Wang, "A Novel Self-Supervised Deep Learning Method for MRI Reconstruction," M. Lustig, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2024-170, Aug. 2024.
- K. Lamar, "Respiratory and Cardiac Motion Correction Using the Beat Pilot Tone," M. Lustig and S. Anand, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-169, May 2023.
- S. Arora, "Deep Learning Applications in Computational MRI: A Thesis in Two Parts," M. Lustig and S. Yu, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-91, May 2021.
- C. Veys and R. Calleja, "Integrating a Localized B0 Shim Array into a Solenoid Transmit-Receive Coil for Permanent Magnet Scanners," M. Lustig, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-87, May 2021.
- R. Calleja and C. Veys, "Local B0 Shim Array Integrated onto a Solenoid TRX Coil for Permanent Magnet Scanners," M. Lustig, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-84, May 2021.
- M. Kellman, "Node-Pore Coded Coincidence Correcting Microfluidic Channel Framework: Code Design and Sparse Deconvolution," M. Lustig, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2017-213, Dec. 2017.