Technical Program

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BIO-P3: Neuro Image and Signal Processing

Session Type: Poster
Time: Thursday, 7 May, 09:00 - 11:00
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Justin Dauwels, Nanyang Technological University
 
 BIO-P3.1: CONDITIONAL DOMAIN ADVERSARIAL TRANSFER FOR ROBUST CROSS-SITE ADHD CLASSIFICATION USING FUNCTIONAL MRI
         Ya-Lin Huang; National Tsing Hua University
         Wan-Ting Hsieh; National Tsing Hua University
         Hao-Chun Yang; National Tsing Hua University
         Chi-Chun Lee; National Tsing Hua University
 
 BIO-P3.2: EEG CONNECTIVITY - INFORMED COOPERATIVE ADAPTIVE LINE ENHANCER FOR RECOGNITION OF BRAIN STATE
         Saeid Sanei; Nottingham Trent University
         Clive Cheong Took; Royal Holloway, University of London
         Delaram Jarchi; University of Essex
         Ales Prochazka; Institute of Chemical Engineering
 
 BIO-P3.3: ONLINE GRAPH TOPOLOGY INFERENCE WITH KERNELS FOR BRAIN CONNECTIVITY ESTIMATION
         Mircea Moscu; Université Côte d'Azur
         Ricardo Borsoi; Université Côte d'Azur
         Cédric Richard; Université Côte d'Azur
 
 BIO-P3.4: MINIMAL ADVERSARIAL PERTURBATIONS IN MOBILE HEALTH APPLICATIONS: THE EPILEPTIC BRAIN ACTIVITY CASE STUDY
         Amir Aminifar; Uppsala University
 
 BIO-P3.5: DETECTING AUTISM SPECTRUM DISORDER USING TOPOLOGICAL DATA ANALYSIS
         Shouvik Majumder; IISER Kolkata
         Fabio Apicella; University of Pisa
         Filippo Muratori; University of Pisa
         Koel Das; IISER Kolkata
 
 BIO-P3.6: MULTI-VIEW BAYESIAN GENERATIVE MODEL FOR MULTI-SUBJECT FMRI DATA ON BRAIN DECODING OF VIEWED IMAGE CATEGORIES
         Yusuke Akamatsu; Hokkaido University
         Ryosuke Harakawa; Nagaoka University of Technology
         Takahiro Ogawa; Hokkaido University
         Miki Haseyama; Hokkaido University
 
 BIO-P3.7: TIME-FREQUENCY ANALYSIS OF UNIMODAL SENSORY PROCESSING IN AUTISM SPECTRUM DISORDER
         David F. D'Croz-Baron; Texas Tech University
         Mary C. Baker; Texas Tech University
         Tanja Karp; Texas Tech University
 
 BIO-P3.8: AUTOMATIC EPILEPTIC SEIZURE ONSET-OFFSET DETECTION BASED ON CNN IN SCALP EEG
         Poomipat Boonyakitanont; Chulalongkorn University
         Apiwat Lek-uthai; Chulalongkorn University
         Jitkomut Songsiri; Chulalongkorn University
 
 BIO-P3.9: ENHANCE FEATURE REPRESENTATION OF ELECTROENCEPHALOGRAM FOR SEIZURE DETECTION
         Danyang Wang; Shanghai University
         Yuchun Fang; Shanghai University
         Yifan Li; Shanghai University
         Changfeng Chai; Changhai Hospital of Shanghai
 
 BIO-P3.10: SPEECH SYNTHESIS USING EEG
         Gautam Krishna; University of Texas at Austin
         Co Tran; University of Texas at Austin
         Yan Han; University of Texas at Austin
         Mason Carnahan; University of Texas at Austin
         Ahmed Tewfik; University of Texas at Austin
 
 BIO-P3.11: EEG FEATURE SELECTION USING ORTHOGONAL REGRESSION: APPLICATION TO EMOTION RECOGNITION
         Xueyuan Xu; Beijing Normal University
         Fulin Wei; Beijing Normal University
         Zhiyuan Zhu; Beijing Normal University
         Jianhong Liu; Beijing Normal University
         Xia Wu; Beijing Normal University
 
 BIO-P3.12: SCALPNET: DETECTION OF SPATIOTEMPORAL ABNORMAL INTERVALS IN EPILEPTIC EEG USING CONVOLUTIONAL NEURAL NETWORKS
         Takahiko Sakai; Tokyo University of Agriculture and Technology
         Taku Shoji; Tokyo University of Agriculture and Technology
         Noboru Yoshida; Juntendo University Nerima Hospital
         Kosuke Fukumori; Tokyo University of Agriculture and Technology
         Yuichi Tanaka; Tokyo University of Agriculture and Technology
         Toshihisa Tanaka; Tokyo University of Agriculture and Technology