SS-3.4
CNN-AIDED FACTOR GRAPHS WITH ESTIMATED MUTUAL INFORMATION FEATURES FOR SEIZURE DETECTION
Bahareh Salafian, Nariman Farsad, Ryerson University, Canada; Eyal Fishel Ben-Knaan, Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Sandrine de Ribaupierre, University of Western Ontario, Canada
Session:
Model-Based Deep Learning in Signal Processing
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Sun, 8 May, 22:00 - 22:45 China Time (UTC +8)
Sun, 8 May, 14:00 - 14:45 UTC
Sun, 8 May, 14:00 - 14:45 UTC
Session Chair:
Nir Shlezinger, Ben-Gurion University
Session SS-3
SS-3.1: STRUCTURAL PRIOR MODELS FOR 3-D DEEP VESSEL SEGMENTATION
Xuelu Li, Vishal Monga, Pennsylvania State University, University Park, United States of America; Raja Bala, Amazon Research, United States of America
SS-3.2: EXPECTATION CONSISTENT PLUG-AND-PLAY FOR MRI
Saurav Shastri, Rizwan Ahmad, Philip Schniter, Ohio State, United States of America; Christopher Metzler, Univ. Maryland, United States of America
SS-3.3: INVERSE IMAGING WITH GENERATIVE PRIORS VIA LANGEVIN DYNAMICS
Thanh Nguyen, Unaffiliated, United States of America; Gauri Jagatap, Chinmay Hegde, New York University, United States of America
SS-3.4: CNN-AIDED FACTOR GRAPHS WITH ESTIMATED MUTUAL INFORMATION FEATURES FOR SEIZURE DETECTION
Bahareh Salafian, Nariman Farsad, Ryerson University, Canada; Eyal Fishel Ben-Knaan, Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Sandrine de Ribaupierre, University of Western Ontario, Canada
SS-3.5: UNFOLDING MODEL-BASED BEAMFORMING FOR HIGH QUALITY ULTRASOUND IMAGING
Christopher Khan, Brett Byram, Vanderbilt University, United States of America; Ruud van Sloun, Eindhoven University of Technology, Netherlands
SS-3.6: Optimization Guarantees for ISTA and ADMM based Unfolded Networks
Wei Pu, Miguel Rodrigues, UCL, United Kingdom of Great Britain and Northern Ireland; Yonina Eldar, Weizmann institute of science, Israel