MA6b.3

Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction

Evan Bell, Shijun Liang, Michigan State University, United States; Ismail Alkhouri, University of Michigan/Michigan State University, United States; Saiprasad Ravishankar, Michigan State University, United States
Session:
MA6b: Referenceless Training and Evaluation for AI-based Computational Medical Imaging Lecture
Track:
Biomedical Signal and Image Processing
Location:
Surf and Sand
Presentation Time:
Mon, 27 Oct, 11:05 - 11:30 PT (UTC -8)
Session Chair:
Mehmet Akcakaya, University of Minnesota
Presentation
Discussion
Resources
No resources available.
Session MA6b
MA6b.1: Out-of-Distribution Detection via Uncertainty Quantification in Diffusion Models
Shirin Shoushtari, Kevin Wang, Ulugbek S. Kamilov, Washington university in St. Louis, United States
MA6b.2: Can Imaging Still See the Unseen in the Age of AI? Implications for Scientific Discovery
Jiayang Wang, Justin Haldar, University of Southern California, United States
MA6b.3: Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction
Evan Bell, Shijun Liang, Michigan State University, United States; Ismail Alkhouri, University of Michigan/Michigan State University, United States; Saiprasad Ravishankar, Michigan State University, United States
MA6b.4: A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms
Pranav Salapaka, Yasar Utku Alcalar, Burhaneddin Yaman, Mehmet Akcakaya, University of Minnesota, United States
Contacts