SS_8: Novel Insights into Brain Organization via Graph Signal Processing |
Session Type: Lecture |
Time: Thursday, September 1, 11:00 - 12:40 |
Location: Mediterranean |
Session Chair: Hamid Behjat, Lund University and EPFL
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SS_8.1: LEARNING SIMILARITY-PRESERVING REPRESENTATIONS OF BRAIN STRUCTURE-FUNCTION COUPLING |
Yang Li, Gonzalo Mateos, University of Rochester, United States |
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SS_8.2: FAST FEATURE EXTRACTION FROM LARGE SCALE CONNECTOME DATA SETS USING ZERO CROSSING COUNTS OVER GRAPHS |
Panagiotis Petrantonakis, Ioannis Kompatsiaris, Centre for Research and Technology-Hellas (CERTH), Greece |
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SS_8.3: EEG AS SIGNAL ON GRAPH: A MULTILAYER NETWORK MODEL FOR BCI APPLICATIONS |
Tiziana Cattai, Gaetano Scarano, Stefania Colonnese, Sapienza University of Rome, Italy; Marie-Constance Corsi, Fabrizio De Vico Fallani, Inria Paris, France |
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SS_8.4: PRUNING GRAPH CONVOLUTIONAL NETWORKS TO SELECT MEANINGFUL GRAPH FREQUENCIES FOR FMRI DECODING |
Yassine EL OUAHIDI, Hugo TESSIER, Giulia LIOI, Nicolas FARRUGIA, Bastien PASDELOUP, Vincent GRIPON, IMT Atlantique, France |
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SS_8.5: BRAIN STRUCTURE-FUNCTION COUPLING IS UNIQUE TO INDIVIDUALS ACROSS MULTIPLE FREQUENCY BANDS: A GRAPH SIGNAL PROCESSING STUDY |
Alessandra Griffa, University of Geneva / EPFL, Switzerland; Maria Giulia Preti, CIBM Center for Biomedical Imaging / University of Geneva / EPFL, Switzerland |
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