MA7b: Modeling, Optimization, and Machine Learning for Computational Imaging (Invited) |
Session Type: Oral |
Time: Monday, November 4, 10:15 - 11:55 |
Location: Acacia |
Session Chairs: Saiprasad Ravishankar, Michigan State University and Justin Haldar, University of Southern California |
MA7b-1: DEEP NETWORKS AND THE MULTIPLE MANIFOLD PROBLEM |
Dar Gilboa; Columbia University |
Sam Buchanan; Columbia University |
John Wright; Columbia University |
MA7b-2: MODEL-BASED ITERATIVE RECONSTRUCTION FOR ECHO PLANAR IMAGING: METHODS AND APPLICATIONS |
Uten Yarach; Mayo Clinic |
Matt Bernstein; Mayo Clinic |
John Huston III; Mayo Clinic |
Myung-Ho In; Mayo Clinic |
Daehun Kang; Mayo Clinic |
Yunhong Shu; Mayo Clinic |
Erin Gray; Mayo Clinic |
Nolan Meyer; Mayo Clinic |
Joshua Trzasko; Mayo Clinic |
MA7b-3: RELIABLE DEEP LEARNING FOR COMPUTATIONAL MICROSCOPY |
Lei Tian; Boston University |
Yujia Xue; Boston University |
Shiyi Cheng; Boston University |
Yunzhe Li; Boston University |
MA7b-4: LOW-RANK MODELING OF LOCAL SINOGRAM NEIGHBORHOODS WITH TOMOGRAPHIC APPLICATIONS |
Rodrigo A. Lobos; University of Southern California |
Richard M. Leahy; University of Southern California |
Justin P. Haldar; University of Southern California |