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Marco Ganzetti
Marco Ganzetti
Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
Verified email at roche.com
Title
Cited by
Cited by
Year
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
R Hindriks, MH Adhikari, Y Murayama, M Ganzetti, D Mantini, ...
Neuroimage 127, 242-256, 2016
6062016
Whole brain myelin mapping using T1-and T2-weighted MR imaging data
M Ganzetti, N Wenderoth, D Mantini
Frontiers in human neuroscience 8, 671, 2014
2222014
Concurrent validity of vertical jump performance assessment systems
C Castagna, M Ganzetti, M Ditroilo, M Giovannelli, A Rocchetti, V Manzi
The Journal of Strength & Conditioning Research 27 (3), 761-768, 2013
1842013
Detecting large-scale brain networks using EEG: Impact of electrode density, head modeling and source localization
Q Liu, M Ganzetti, N Wenderoth, D Mantini
Frontiers in neuroinformatics 12, 4, 2018
1202018
Functional connectivity and oscillatory neuronal activity in the resting human brain
M Ganzetti, D Mantini
Neuroscience 240, 297-309, 2013
762013
Intensity inhomogeneity correction of structural MR images: a data-driven approach to define input algorithm parameters
M Ganzetti, N Wenderoth, D Mantini
Frontiers in neuroinformatics 10, 10, 2016
632016
A smartphone sensor-based digital outcome assessment of multiple sclerosis
X Montalban, J Graves, L Midaglia, P Mulero, L Julian, M Baker, ...
Multiple Sclerosis Journal, 135245852110285, 2021
612021
Mapping pathological changes in brain structure by combining T1-and T2-weighted MR imaging data
M Ganzetti, N Wenderoth, D Mantini
Neuroradiology 57, 917-928, 2015
552015
Quantitative evaluation of intensity inhomogeneity correction methods for structural MR brain images
M Ganzetti, N Wenderoth, D Mantini
Neuroinformatics 14, 5-21, 2016
512016
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
462018
Spatial localization of EEG electrodes using 3D scanning
GA Taberna, M Marino, M Ganzetti, D Mantini
Journal of neural engineering 16 (2), 026020, 2019
422019
A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
G Hahn, MA Skeide, D Mantini, M Ganzetti, A Destexhe, AD Friederici, ...
Scientific reports 9 (1), 8479, 2019
252019
RT-NET: real-time reconstruction of neural activity using high-density electroencephalography
R Guarnieri, M Zhao, GA Taberna, M Ganzetti, SP Swinnen, D Mantini
Neuroinformatics 19, 251-266, 2021
122021
A spatial registration toolbox for structural mr imaging of the aging brain
M Ganzetti, Q Liu, D Mantini, Alzheimer’s Disease Neuroimaging Initiative
Neuroinformatics 16, 167-179, 2018
112018
Preliminary validity of the Draw a Shape Test for upper extremity assessment in multiple sclerosis
JS Graves, M Ganzetti, F Dondelinger, F Lipsmeier, S Belachew, ...
Annals of Clinical and Translational Neurology 10 (2), 166-180, 2023
52023
Neural correlates of digital measures shown by structural MRI: a post-hoc analysis of a smartphone-based remote assessment feasibility study in multiple sclerosis
M Ganzetti, JS Graves, SP Holm, F Dondelinger, L Midaglia, L Gaetano, ...
Journal of Neurology 270 (3), 1624-1636, 2023
42023
fMRI data processing in MRTOOL: to what extent does anatomical registration affect the reliability of functional results?
M Ganzetti, GA Taberna, D Mantini
Brain Imaging and Behavior 13, 1538-1553, 2019
42019
Smartphone-based passive monitoring of gait in people with progressive multiple sclerosis
M Ganzetti, L Kriara, M Zanon, M Rinderknecht, S Hubeaux, F Lipsmeier, ...
MULTIPLE SCLEROSIS JOURNAL 29, 207-208, 2023
2023
Brain-age association with clinical and neuropsychological biomarkers in progressive multiple sclerosis patients
E De Meo, C Willard, A Jolly, L Craveiro, M Ganzetti, A Kazlauskaite, ...
MULTIPLE SCLEROSIS JOURNAL 29, 122-122, 2023
2023
Multimodal mapping of brain structural properties by combining T1-and T2-weighted MR imaging data
M Ganzetti
ETH Zurich, 2016
2016
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