Login Paper Search My Schedule Paper Index Help

My Asilomar 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Technical Program

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

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

Session Type: Virtual
Time: Tuesday, November 3, 13:00 - 14:20
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