Marco Marino
Marco Marino
FWO Junior Postdoctoral Fellow, KU Leuven
Verified email at - Homepage
Cited by
Cited by
Shared and connection-specific intrinsic interactions in the default mode network
J Samogin, Q Liu, M Marino, N Wenderoth, D Mantini
Neuroimage 200, 474-481, 2019
Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI
M Marino, Q Liu, V Koudelka, C Porcaro, J Hlinka, N Wenderoth, ...
Scientific reports 8 (1), 1-11, 2018
Hand, foot and lip representations in primary sensorimotor cortex: A high-density electroencephalography study
M Zhao, M Marino, J Samogin, SP Swinnen, D Mantini
Scientific reports 9 (1), 1-12, 2019
Online EEG artifact removal for BCI applications by adaptive spatial filtering
R Guarnieri, M Marino, F Barban, M Ganzetti, D Mantini
Journal of neural engineering 15 (5), 056009, 2018
Automated detection and labeling of high-density EEG electrodes from structural MR images
M Marino, Q Liu, S Brem, N Wenderoth, D Mantini
Journal of neural engineering 13 (5), 056003, 2016
Hemodynamic correlates of electrophysiological activity in the default mode network
M Marino, G Arcara, C Porcaro, D Mantini
Frontiers in Neuroscience 13, 1060, 2019
Spatial localization of EEG electrodes using 3D scanning
GA Taberna, M Marino, M Ganzetti, D Mantini
Journal of neural engineering 16 (2), 026020, 2019
Frequency‐dependent functional connectivity in resting state networks
J Samogin, M Marino, C Porcaro, N Wenderoth, P Dupont, SP Swinnen, ...
Human brain mapping 41 (18), 5187-5198, 2020
Neuronal dynamics enable the functional differentiation of resting state networks in the human brain
M Marino, Q Liu, J Samogin, F Tecchio, C Cottone, D Mantini, C Porcaro
Human brain mapping 40 (5), 1445-1457, 2019
Pearls and pitfalls in brain functional analysis by event-related potentials: a narrative review by the Italian Psychophysiology and Cognitive Neuroscience Society on …
M de Tommaso, V Betti, T Bocci, N Bolognini, F Di Russo, F Fattapposta, ...
Neurological Sciences 41 (10), 2711-2735, 2020
Heart–Brain interactions in the MR environment: characterization of the ballistocardiogram in EEG signals collected during simultaneous fMRI
M Marino, Q Liu, M Del Castello, C Corsi, N Wenderoth, D Mantini
Brain topography 31 (3), 337-345, 2018
Detection of resting-state functional connectivity from high-density electroencephalography data: Impact of head modeling strategies
GA Taberna, J Samogin, M Marino, D Mantini
Brain sciences 11 (6), 741, 2021
Characterisation of haemodynamic activity in resting state networks by fractal analysis
C Porcaro, SD Mayhew, M Marino, D Mantini, AP Bagshaw
International Journal of Neural Systems 30 (12), 2050061, 2020
Fully automated assessment of left ventricular volumes and mass from cardiac magnetic resonance images
M Marino, F Veronesi, C Corsi
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
A fast, noniterative approach for accelerated high‐temporal resolution cine‐CMR using dynamically interleaved streak removal in the power‐spectral encoded domain with low‐pass …
K Kawaji, MB Patel, CG Cantrell, A Tanaka, M Marino, S Tamura, H Wang, ...
Medical physics 44 (7), 3450-3463, 2017
Default mode network shows alterations for low-frequency fMRI fluctuations in euthymic bipolar disorder
M Marino, Z Romeo, A Angrilli, I Semenzato, A Favaro, G Magnolfi, ...
Journal of Psychiatric Research 144, 59-65, 2021
Objective selection of short-axis slices for automated quantification of left ventricular size and function by cardiovascular magnetic resonance
M Marino, C Corsi, F Maffessanti, AR Patel, V Mor-Avi
Clinical Imaging 40 (4), 617-623, 2016
Fully automated assessment of left ventricular volumes, function and mass from cardiac MRI
M Marino, F Veronesi, G Tarroni, V Mor-Avi, AR Patel, C Corsi
Computing in Cardiology 2014, 109-112, 2014
Conductivity Tensor Imaging of the Human Brain Using Water Mapping Techniques
M Marino, L Cordero-Grande, D Mantini, G Ferrazzi
Frontiers in Neuroscience, 976, 2021
Test di robustezza della dimensione frattale nel differenziare le reti cerebrali cognitive superiori (HCFNs) e percettive (PNs)
M Marino, MT Medaglia, Q Liu, D Mantini, C Porcaro
Sistemi intelligenti 32 (3), 597-621, 2020
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