Ph.D. Dissertations - Michael Lustig
Venous Perfusion Source Mapping “in Reverse” with Magnetic Resonance Imaging
Ekin Karasan [2024]
Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency
Ke Wang [2023]
Anatomy Inspired Hardware for Magnetic Resonance Imaging
Karthik Gopalan [2022]
Physics-based Learning for Large-scale Computational Imaging
Michael Kellman [2020]
Complex-valued Deep Learning with Applications to Magnetic Resonance Image Synthesis
Pat Virtue [2019]
Low Dimensional Methods for High Dimensional Magnetic Resonance Imaging
Frank Ong [2018]
MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging
Jonathan Tamir [2018]
Screen Printed MRI Receive Coils
Joseph Corea [2016]
Parallelism, Patterns, and Performance in Iterative MRI Reconstruction
Mark Murphy [2011]