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)

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)

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)

Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images. - Marco Ganzetti; Nicole Wenderoth; Dante Mantini (Neuroinformatics, 2016)

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)

A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain. - Marco Ganzetti; Quanying Liu; Dante Mantini (Neuroinformatics, 2018)

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)

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)