MO4.R3: Reconstruction and Modeling

Session Type: Lecture
Time: Monday, June 29, 16:40 - 18:00
Location: Berkeley/Clarendon
 
MO4.R3.1: REDUCTION OF DISTORTIONS IN MRSI USING A NEW SIGNAL MODEL
         Ramin Eslami; University of Rochester
         Mathews Jacob; University of Rochester
 
MO4.R3.2: STATISTICAL MODELING OF THE GEOMETRIC ERROR IN CARDIAC ELECTRICAL IMAGING
         Umit Aydin; Middle East Technical University
         Yesim Serinagaoglu; Middle East Technical University
 
MO4.R3.3: OPTICAL PROPERTY CHARACTERIZATION BASED ON A PHASE FUNCTION APPROXIMATION MODEL
         Alexander Cong; Virginia Tech
         Yujie Lu; University of California, Los Angeles
         Wenxiang Cong; Virginia Tech
         Haiou Shen; Virginia Tech
         Arion Chatziioannou; University of California, Los Angeles
         Ge Wang; Virginia Tech
 
MO4.R3.4: SOFOMORE: COMBINED EEG SOURCE AND FORWARD MODEL RECONSTRUCTION
         Carsten Stahlhut; Technical University of Denmark
         Morten Mørup; Technical University of Denmark
         Ole Winther; Technical University of Denmark
         Lars Kai Hansen; Technical University of Denmark