Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data

Author:

Hunyadi Borbála12,Dupont Patrick3,Van Paesschen Wim4,Van Huffel Sabine12

Affiliation:

1. Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering; KU Leuven; Leuven Belgium

2. iMinds Medical IT; Leuven Belgium

3. Laboratory of Cognitive Neurology; KU Leuven and UZ Leuven; Leuven Belgium

4. Laboratory for Epilepsy Research; KU Leuven and UZ Leuven; Leuven Belgium

Funder

Seventh Framework Programme

BIOTENSORS

iMinds Medical Information Technologies

Dotatie-Strategisch basis onderzoek

Belgian Federal Science Policy Office

DYSCO, ‘Dynamical systems, control and optimization’

Publisher

Wiley

Subject

General Computer Science

Reference57 articles.

1. Tensor decomposition of EEG signals: a brief review;Cong;J Neurosci Methods,2015

2. Multimodal data fusion: an overview of methods, challenges, and prospects;Lahat;Proc IEEE,2015

3. Applications of tensor (multiway array) factorizations and decompositions in data mining;Mørup;WIREs: Data Mining Knowl Discov,2011

4. Electrical source imaging of interictal spikes using multiple sparse volumetric priors for presurgical epileptogenic focus localization;Strobbe;Neuroimage Clin,2016

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