TA6a.4

Deep Expectation-Consistent Approximation for Fourier Phase Retrieval

Saurav Shastri, Philip Schniter, The Ohio State University, United States
Session:
TA6a: Computational Imaging Lecture
Track:
Biomedical Signal and Image Processing
Location:
Evergreen
Presentation Time:
Tue, 29 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TA6a
TA6a.1: Edge Projection-Based Adaptive View Selection for Cone-Beam CT
Jingsong Lin, Purdue University, United States; Singanallur Venkatakrishnan, Oak Ridge National Lab, United States; Gregery Buzzard, Purdue University, United States; Amir Ziabari, Oak Ridge National Lab, United States; Charles Bouman, Purdue University, United States
TA6a.2: Improving Posterior-Sampling cGANs via Principal Component Regularization
Matt Bendel, Rizwan Ahmad, Philip Schniter, The Ohio State University, United States
TA6a.3: Multi-pose Fusion for Autonomous Polycrystalline Material Decomposition in Hyperspectral Neutron Tomography
Diyu Yang, Purdue Univeristy, United States; Mohammad Chowdhury, Purdue University, United States; Shimin Tang, Singanallur Venkatakrishnan, Hassina Bilheux, Oak Ridge National Laboratory, United States; Gregery Buzzard, Charles Bouman, Purdue University, United States
TA6a.4: Deep Expectation-Consistent Approximation for Fourier Phase Retrieval
Saurav Shastri, Philip Schniter, The Ohio State University, United States
Contacts