Marco Ganzetti

According to our database, Marco Ganzetti authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data.

Marco Ganzetti, Paola Valsasina, Frederik Barkhof, Maria Assunta Rocca, Massimo Filippi, Ferran Prados, Licinio Craveiro

Frontiers Neuroinformatics, 2025

2024

Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data.

Gaia Amaranta Taberna, Jessica Samogin, Mingqi Zhao, Marco Marino, Roberto Guarnieri, Ernesto Cuartas-Morales, Marco Ganzetti, Quanying Liu, Dante Mantini

Comput. Biol. Medicine, 2024

2021

RT-NET: real-time reconstruction of neural activity using high-density electroencephalography.

Roberto Guarnieri, Mingqi Zhao, Gaia Amaranta Taberna, Marco Ganzetti, Stephan P. Swinnen, Dante Mantini

Neuroinformatics, 2021

2018

A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain.

Marco Ganzetti, Quanying Liu, Dante Mantini

Neuroinformatics, 2018

Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization.

Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini

Frontiers Neuroinformatics, 2018

2016

Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images.

Marco Ganzetti, Nicole Wenderoth, Dante Mantini

Neuroinformatics, 2016

Corrigendum to "Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?" [NeuroImage 127 (2016) 242-256].

Rikkert Hindriks, Mohit H. Adhikari, Yusuke Murayama, Marco Ganzetti, Dante Mantini, Nikos K. Logothetis, Gustavo Deco

NeuroImage, 2016

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

Rikkert Hindriks, Mohit H. Adhikari, Yusuke Murayama, Marco Ganzetti, Dante Mantini, Nikos K. Logothetis, Gustavo Deco

NeuroImage, 2016

Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters.

Marco Ganzetti, Nicole Wenderoth, Dante Mantini

Frontiers Neuroinformatics, 2016