TH2.PA2.3
          EMERGENCE OF HIGHER-ORDER FUNCTIONAL BRAIN CONNECTIVITY WITH HYPERGRAPH SIGNAL PROCESSING
Breno Bispo, Federal University of Pernambuco, Brazil; Fernando Santos, University of Amsterdam, Netherlands; Jose de Oliveira Neto, Juliano Lima, Federal University of Pernambuco, Brazil
              Session:
                TH2.PA2: Tensor Decompositions: Theory and Applications in Biomedical Signal Processing  Poster
              Track:
                Special Sessions
              Location:
                Poster Area 2
              Presentation Time:
                Thu, 29 Aug, 14:00 - 15:40 France Time (UTC +1)
              Session Co-Chairs:
Borbala Hunyadi, Delft University of Technology and Sofia-Eirini Kotti, Delft University of Technology
Presentation
                  Discussion
                    Resources
                No resources available.
            Session TH2.PA2
            TH2.PA2.1: CONSTRAINED TENSOR DECOMPOSITION REVEALS LEVER ARMS SYNERGIES IN THE MUSCULOSKELETAL SYSTEM
  Joris Claude, Raphaël Dumas, Univ Lyon, Univ Claude Bernard Lyon 1, Univ Gustaves Eifel, LBMC UMR T_9406, France; Jérémy Cohen, Univ Lyon, INSA-Lyon, Univ Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1206, France
  TH2.PA2.2: Novel Tensor-based Singular Spectrum Decomposition
  Spriha Joshi, Philippe Dreesen, Pietro Bonizzi, Joël Karel, Ralf Peeters, Martijn Boussé, Maastricht University, Netherlands
  TH2.PA2.3: EMERGENCE OF HIGHER-ORDER FUNCTIONAL BRAIN CONNECTIVITY WITH HYPERGRAPH SIGNAL PROCESSING
  Breno Bispo, Federal University of Pernambuco, Brazil; Fernando Santos, University of Amsterdam, Netherlands; Jose de Oliveira Neto, Juliano Lima, Federal University of Pernambuco, Brazil
  TH2.PA2.4: Higher-Order Singular Spectrum Analysis For Multichannel Biomedical Signal Analysis
  Thanh LE, VNU University of Engineering and Technology, Hanoi, Viet Nam; Karim Abed-Meraim, University of Orleans, France; Linh Trung Nguyen, VNU University of Engineering and Technology, Hanoi, Viet Nam
  TH2.PA2.5: Structured Robust Tensor Decomposition for Multilayer Community Detection: Application to Functional Connectivity Networks
  Esraa Al-Sharoa, Jordan University of Science and Technology, Jordan; Mohammad Alwardat, Selin Aviyente, Michigan State University, United States
  TH2.PA2.6: EXTRACTING HEMODYNAMIC ACTIVITY WITH LOW-RANK SPATIAL SIGNATURES IN FUNCTIONAL ULTRASOUND USING TENSOR DECOMPOSITIONS
  Sofia-Eirini Kotti, Borbala Hunyadi, Delft University of Technology, Netherlands
  TH2.PA2.7: A BÉZOUTIAN-BASED METHOD FOR SOLVING OVERDETERMINED SYSTEMS OF POLYNOMIAL EQUATIONS
  Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer, KU Leuven, Belgium
  TH2.PA2.8: Coupled generator decomposition for fusion of electro- and magnetoencephalography data
  Anders Stevnhoved Olsen, Technical University of Denmark, Denmark; Jesper Duemose Nielsen, DTU Compute, Technical University of Denmark, Denmark; Morten Mørup, Technical University of Denmark, Denmark
  TH2.PA2.9: Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis
  Irina Belyaeva, University of Maryland, Baltimore County, United States; Yu-Ping Wang, Department of Biomedical Engineering, United States; Tony Wilson, Boys Town National Research Hospital, United States; Vince Calhoun, Department of Electrical Engineering, United States; Julia Stephen, Tulay Adali, Lovelace Biomedical Research Institute, United States