TA6a.2

Deploying learning-based MRI reconstruction to the clinic: challenges and strategies

Jonathan Tamir, Yamin Arefeen, Brett Levac, The University of Texas at Austin, United States
Session:
TA6a: Advances in Machine Learning for Inverse Imaging Problems Lecture
Track:
Biomedical Signal and Image Processing
Location:
Surf and Sand
Presentation Time:
Tue, 28 Oct, 08:40 - 09:05 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TA6a
TA6a.1: Recursive Annealed Posterior Sampling
Saurav Shastri, Philip Schniter, The Ohio State University, United States
TA6a.2: Deploying learning-based MRI reconstruction to the clinic: challenges and strategies
Jonathan Tamir, Yamin Arefeen, Brett Levac, The University of Texas at Austin, United States
TA6a.3: Network-Regularized Diffusion Sampling For 3D Computed Tomography
Shijun Liang, Michigan State University, United States; Ismail Alkhouri, University of Michigan/Michigan State University, United States; Saiprasad Ravishankar, Rongrong Wang, Michigan State University, United States
TA6a.4: GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration
Youssef Mansour, Reinhard Heckel, Technical University of Munich, Germany
Contacts