| Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification AM Chiarelli, P Croce, A Merla, F Zappasodi Journal of neural engineering 15 (3), 036028, 2018 | 185 | 2018 |
| Prognostic value of EEG microstates in acute stroke F Zappasodi, P Croce, A Giordani, G Assenza, NM Giannantoni, P Profice, ... Brain topography 30, 698-710, 2017 | 78 | 2017 |
| MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer A Delli Pizzi, AM Chiarelli, P Chiacchiaretta, M d’Annibale, P Croce, ... Scientific Reports 11 (1), 5379, 2021 | 67 | 2021 |
| Deep Convolutional Neural Networks for feature-less automatic classification of Independent Components in multi-channel electrophysiological brain recordings. P Croce, F Zappasodi, L Marzetti, A Merla, V Pizzela, AM Chiarelli IEEE transactions on bio-medical engineering, 2018 | 64 | 2018 |
| EEG microstates associated with intra-and inter-subject alpha variability P Croce, A Quercia, S Costa, F Zappasodi Scientific reports 10 (1), 2469, 2020 | 54 | 2020 |
| EEG microstates distinguish between cognitive components of fluid reasoning F Zappasodi, MG Perrucci, A Saggino, P Croce, P Mercuri, R Romanelli, ... Neuroimage 189, 560-573, 2019 | 46 | 2019 |
| Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience? F Vellante, F Ferri, G Baroni, P Croce, D Migliorati, M Pettoruso, ... Journal of affective disorders 272, 326-334, 2020 | 39 | 2020 |
| Circadian rhythms in fractal features of EEG signals P Croce, A Quercia, S Costa, F Zappasodi Frontiers in physiology 9, 417439, 2018 | 39 | 2018 |
| Exploiting neurovascular coupling: a Bayesian sequential Monte Carlo approach applied to simulated EEG fNIRS data P Croce, F Zappasodi, A Merla, AM Chiarelli Journal of neural engineering 14 (4), 046029, 2017 | 33 | 2017 |
| Working memory decline in Alzheimer’s disease is detected by complexity analysis of multimodal EEG-fNIRS D Perpetuini, AM Chiarelli, C Filippini, D Cardone, P Croce, L Rotunno, ... Entropy 22 (12), 1380, 2020 | 32 | 2020 |
| Offline stimulation of human parietal cortex differently affects resting EEG microstates P Croce, F Zappasodi, P Capotosto Scientific Reports 8 (1), 1287, 2018 | 31 | 2018 |
| Transcutaneous vagus nerve stimulation modulates EEG microstates and delta activity in healthy subjects L Ricci, P Croce, J Lanzone, M Boscarino, F Zappasodi, M Tombini, ... Brain sciences 10 (10), 668, 2020 | 28 | 2020 |
| Electroencephalography-derived prognosis of functional recovery in acute stroke through machine learning approaches AM Chiarelli, P Croce, G Assenza, A Merla, G Granata, NM Giannantoni, ... International Journal of Neural Systems 30 (12), 2050067, 2020 | 27 | 2020 |
| Autonomic impairment in Alzheimer’s disease is revealed by complexity analysis of functional thermal imaging signals during cognitive tasks D Perpetuini, D Cardone, AM Chiarelli, C Filippini, P Croce, F Zappasodi, ... Physiological measurement 40 (3), 034002, 2019 | 27 | 2019 |
| Evidence of neurovascular un-coupling in mild Alzheimer’s disease through multimodal EEG-fNIRS and multivariate analysis of resting-state data AM Chiarelli, D Perpetuini, P Croce, C Filippini, D Cardone, L Rotunno, ... Biomedicines 9 (4), 337, 2021 | 24 | 2021 |
| A graph convolutional neural network for the automated detection of seizures in the neonatal EEG K Raeisi, M Khazaei, P Croce, G Tamburro, S Comani, F Zappasodi Computer methods and programs in biomedicine 222, 106950, 2022 | 23 | 2022 |
| Fiberless, multi-channel fNIRS-EEG system based on silicon photomultipliers: towards sensitive and ecological mapping of brain activity and neurovascular coupling AM Chiarelli, D Perpetuini, P Croce, G Greco, L Mistretta, R Rizzo, ... Sensors 20 (10), 2831, 2020 | 23 | 2020 |
| Hilbert spectral analysis of EEG data reveals spectral dynamics associated with microstates E Javed, P Croce, F Zappasodi, C Del Gratta Journal of neuroscience methods 325, 108317, 2019 | 22 | 2019 |
| Exploring brain activity for positive and negative emotions by means of EEG microstates G Prete, P Croce, F Zappasodi, L Tommasi, P Capotosto Scientific reports 12 (1), 3404, 2022 | 21 | 2022 |
| Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease A Delli Pizzi, AM Chiarelli, P Chiacchiaretta, C Valdesi, P Croce, ... Scientific reports 11 (1), 17237, 2021 | 21 | 2021 |
Filippo ZappasodiVerified email at unich.it
