Technical Program

TU2-6: Algorithms, Learning, and Theory for Computational Imaging

Session Type: Virtual
Time: Tuesday, November 3, 13:00 - 14:20
Virtual Session: View on Virtual Platform
Location: Room 6
Session Chairs: Saiprasad Ravishankar, Michigan State University and Michael McCann, Michigan State University
 
TU2-6-1: End-to-end learning for computational microscopy
         Laura Waller; University of California, Berkeley
 
TU2-6-2: Ultra-Sparse View Reconstruction for Flash X-Ray Imaging using Consensus Equilibrium
         Maliha Hossain; Purdue University
         Shane Paulson; Purdue University
         Hangjie Liao; Lam Research
         Weinong Chen; Purdue University
         Charles Bouman; Purdue University
 
TU2-6-3: Optimizing Optical Compressed Sensing for Multispectral DNN-Based Image Segmentation
         Yuqi Li; University of Illinois at Urbana-Champaign
         Yoram Bresler; University of Illinois at Urbana-Champaign
 
TU2-6-4: Combining physics-based optimization with deep learning for computational medical imaging reconstruction
         Jonathan Tamir; The University of Texas at Austin