TP6b.1

Using deep feature distances for evaluating the perceptual quality of MR image reconstructions

Philip Adamson, Akshay Chaudhari, Stanford University, United States
Session:
TP6b: Task-driven computational imaging: Redefining Image Quality Assessment and Optimization in the Era of AI Lecture
Track:
Biomedical Signal and Image Processing
Location:
Room 6
Presentation Time:
Tue, 27 Oct, 15:30 - 15:55 PT (UTC -7)
Session Chair:
Fan Lam, University of Illinois Urbana-Champaign, United States
Presentation
Discussion
Resources
No resources available.
Session TP6b
TP6b.1: Using deep feature distances for evaluating the perceptual quality of MR image reconstructions
Philip Adamson, Akshay Chaudhari, Stanford University, United States
TP6b.2: Designing Computational Imaging Systems for Task Performance
Mark Anastasio, Washington University in St. Louis, United States
TP6b.3: Accelerating Multicontrast MRI via Lesion-Targeted Adaptive Sampling
Jiachen Tu, Fan Lam, University of Illinois Urbana-Champaign, United States
TP6b.4: Implicit Neural Representation for Image Quality Assessment
Dhananjaya Jayasundara, Sudarshan Rajagopalan, VISHAL PATEL VISHAL PATEL, Johns Hopkins University, United States
Contacts