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2020 – today
- 2022
[j7]Matteo Demuru, Dorien van Blooijs, Willemiek Zweiphenning, Dora Hermes, Frans S. S. Leijten, Maeike Zijlmans:
A Practical Workflow for Organizing Clinical Intraoperative and Long-term iEEG Data in BIDS. Neuroinformatics 20(3): 727-736 (2022)- [j6]Matteo Fraschini
, Simone Maurizio La Cava, Giuseppe Rodriguez, Andrea Vitale, Matteo Demuru:
Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs. Sensors 22(8): 2853 (2022) - 2020
- [j5]Matteo Demuru, Simone Maurizio La Cava, Sara Maria Pani, Matteo Fraschini:
A comparison between power spectral density and network metrics: An EEG study. Biomed. Signal Process. Control. 57 (2020) - [j4]Sara Maria Pani, Marta Ciuffi, Matteo Demuru, Simone Maurizio La Cava, Giovanni Bazzano, Ernesto D'Aloja, Matteo Fraschini:
Subject, session and task effects on power, connectivity and network centrality: A source-based EEG study. Biomed. Signal Process. Control. 59: 101891 (2020) - [j3]Matteo Demuru, Matteo Fraschini:
EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum. Comput. Biol. Medicine 120: 103748 (2020) - [j2]Matteo Fraschini, Miro Meli, Matteo Demuru, Luca Didaci, Luigi Barberini:
EEG Fingerprints under Naturalistic Viewing Using a Portable Device. Sensors 20(22): 6565 (2020) - [c2]Stiliyan Kalitzin, George Petkov, Matteo Demuru, Guido Widman:
Prospecting epilepsy surgery outcome using virtual resection paradigm. Computational-model validation. CIBCB 2020: 1-8 - [i1]Matteo Demuru, Matteo Fraschini:
EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum. CoRR abs/2001.09424 (2020)
2010 – 2019
- 2018
- [c1]George Petkov, Stiliyan Kalitzin, Matteo Demuru, Guido Widman, Piotr Suffczynski, Fernando H. Lopes da Silva:
Computational Model Exploration of Stimulation Based Paradigm for Detection of Epileptic Systems. APPIS 2018: 324-335 - 2015
- [j1]Matteo Fraschini, Arjan Hillebrand, Matteo Demuru, Luca Didaci, Gian Luca Marcialis:
An EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks. IEEE Signal Process. Lett. 22(6): 666-670 (2015)
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