MA5a.3

Multiscale energy models for efficient posterior image recovery

Mathews Jacob, Jyothi Rikhab Chand, University of Virginia, United States
Session:
MA5a: Fast MRI Potpourri Lecture
Track:
Biomedical Signal and Image Processing
Location:
Room 5
Presentation Time:
Mon, 26 Oct, 09:05 - 09:30 PT (UTC -7)
Session Co-Chairs:
Yamin Arefeen, University of Texas, United States and Jon Tamir, University of Texas, United States
Presentation
Discussion
Resources
No resources available.
Session MA5a
MA5a.1: Resolution-acceleration tradeoff in AI-based multi-coil MRI
Yamin Arefeen, Jonathan Tamir, The University of Texas at Austin, United States
MA5a.2: Ultrafast Dynamic Contrast-Enhanced MRI via Tissue-Aware Low-Rank Subspace Modeling and Deep Learning
Eddy Solomon, Technion - Israel Institute of Technology, Israel
MA5a.3: Multiscale energy models for efficient posterior image recovery
Mathews Jacob, Jyothi Rikhab Chand, University of Virginia, United States
MA5a.4: Precise, reproducible quantitative MRI across scales and field strengths
Berkin Bilgic, Massachusetts General Hospital, Harvard Medical School, United States; Yuting Chen, Zhejiang University, China; Jiye Kim, Unay Dorken Gallastegi, Massachusetts General Hospital, Harvard Medical School, United States; Shizhuo Li, Zhejiang University, China; Yohan Jun, Massachusetts General Hospital, Harvard Medical School, United States
Contacts