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My Asilomar 2019 Schedule

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Technical Program

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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