Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

D-16: Model-based Deep Learning for Inverse Problems in Imaging (invited)

Session Type: Virtual
Time: Tuesday, November 02, 11:15 - 12:45
Location: Room 3
Virtual Session: Attend on Virtual Platform
Session Chairs: Gregory Ongie, Marquette University, USA, Saiprasad Ravishankar, Michigan State University, USA and Zhishen Huang, Michigan State University, USA
 
D-16.1: Computational Imaging with Approximate Message Passing and Learning
         Christopher Metzler; University of Maryland College Park
         Ruangrawee Kitichotkul; Stanford University
         Gordon Wetzstein; Stanford University
 
D-16.2: Joint reconstruction of image and viewing angle distribution for unknown view tomography
         Zhizhen Zhao; University of Illinois at Urbana-Champaign
         Mona Zehni; University of Illinois at Urbana-Champaign
 
D-16.3: 3D Lensless Imaging with Programmable Masks
         Yucheng Zheng; University of California, Riverside
         Yi Hua; Carnegie Mellon University
         Aswin Sankaranarayanan; Carnegie Mellon University
         M. Salman Asif; University of California, Riverside
 
D-16.4: Descattering and Density Reconstruction in Polyenergetic X-Ray Tomography with Locally Learned Models
         Michael T. McCann; Michigan State University
         Marc L. Klasky; Los Alamos National Laboratory
         Jennifer L. Schei; Los Alamos National Laboratory
         Saiprasad Ravishankar; Michigan State University