CROCE, PIERPAOLO ARTURO
CROCE, PIERPAOLO ARTURO
DIPARTIMENTO DI NEUROSCIENZE, IMAGING E SCIENZE CLINICHE
A Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection
2023-01-01 Raeisi, Khadijeh; Khazaei, Mohammad; Tamburro, Gabriella; Croce, Pierpaolo; Comani, Silvia; Zappasodi, Filippo
A Graph Convolutional Neural Network for the automated detection of seizures in the neonatal EEG
2022-01-01 RAEISI NAFCHI, Khadijeh; Khazaei, Mohammad; Croce, PIERPAOLO ARTURO; Tamburro, Gabriella; Comani, Silvia; Zappasodi, Filippo
Automated detection and removal of cardiac and pulse interferences from neonatal eeg signals
2021-01-01 Tamburro, G.; Croce, P.; Zappasodi, F.; Comani, S.
Autonomic impairment in Alzheimer's disease is revealed by complexity analysis of functional thermal imaging signals during cognitive tasks
2019-01-01 Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Filippini, C.; Croce, P.; Zappasodi, F.; Rotunno, L.; Anzoletti, N.; Zito, M.; Merla, A.
Brain dynamics of visual anticipation during spatial occlusion tasks in expert tennis players
2023-01-01 Costa, S.; Berchicci, M.; Bianco, V.; Croce, P.; Di Russo, F.; Quinzi, F.; Bertollo, M.; Zappasodi, F.
Brain electrical microstate features as biomarkers of a stable motor output
2022-01-01 Croce, PIERPAOLO ARTURO; Tecchio, Franca; Tamburro, Gabriella; Fiedler, Patrique; Comani, Silvia; Zappasodi, Filippo
Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis
2021-01-01 Khazaei, M.; Raeisi, K.; Croce, P.; Tamburro, G.; Tokariev, A.; Vanhatalo, S.; Zappasodi, F.; Comani, S.
Circadian rhythms in Fractal Features of EEG signals
2018-01-01 Croce, Pierpaolo; Quercia, Angelica; Costa, Sergio; Zappasodi, Filippo
Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings
2019-01-01 Croce, Pierpaolo; Zappasodi, Filippo; Marzetti, Laura; Merla, Arcangelo; Pizzella, Vittorio; Chiarelli, Antonio Maria
Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification
2018-01-01 Chiarelli, Am; Croce, P; Merla, A; Zappasodi, F
EEG microstates associated with intra- and inter-subject alpha variability
2020-01-01 Croce, P.; Quercia, A.; Costa, S.; Zappasodi, F.
EEG microstates distinguish between cognitive components of fluid reasoning
2019-01-01 Zappasodi, Filippo; Perrucci, Mauro Gianni; Saggino, Aristide; Croce, Pierpaolo; Mercuri, Pasqua; Romanelli, Roberta; Colom, Roberto; Ebisch, Sjoerd J.
EEG-fMRI Bayesian framework for neural activity estimation: A simulation study
2016-01-01 Croce, Pierpaolo; Basti, Alessio; Marzetti, Laura; Zappasodi, Filippo; DEL GRATTA, Cosimo
EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies
2024-01-01 Koenig, Thomas; Diezig, Sarah; Kalburgi, Sahana Nagabhushan; Antonova, Elena; Artoni, Fiorenzo; Brechet, Lucie; Britz, Juliane; Croce, Pierpaolo; Custo, Anna; Damborská, Alena; Deolindo, Camila; Heinrichs, Markus; Kleinert, Tobias; Liang, Zhen; Murphy, Michael M; Nash, Kyle; Nehaniv, Chrystopher; Schiller, Bastian; Smailovic, Una; Tarailis, Povilas; Tomescu, Miralena; Toplutaş, Eren; Vellante, Federica; Zanesco, Anthony; Zappasodi, Filippo; Zou, Qihong; Michel, Christoph M
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke through Machine Learning Approaches
2020-01-01 Chiarelli, A. M.; Croce, P.; Assenza, G.; Merla, A.; Granata, G.; Giannantoni, N. M.; Pizzella, V.; Tecchio, F.; Zappasodi, F.
Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience?
2020-01-01 Vellante, Federica; Ferri, Francesca; Baroni, Gaia; Croce, PIERPAOLO ARTURO; Migliorati, Daniele; Pettorruso, Mauro; DE BERARDIS, Domenico; Martinotti, Giovanni; Zappasodi, Filippo; DI GIANNANTONIO, Massimo
Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data
2021-01-01 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A.
Exploiting neurovascular coupling: a Bayesian sequential Monte Carlo approach applied to simulated EEG fNIRS data
2017-01-01 Croce, Pierpaolo; Zappasodi, Filippo; Merla, Arcangelo; Chiarelli, ANTONIO MARIA
Exploring brain activity for positive and negative emotions by means of EEG microstates
2022-01-01 Prete, Giulia; Croce, Pierpaolo; Zappasodi, Filippo; Tommasi, Luca; Capotosto, Paolo
Fiberless, multi-channel fNIRS-EEG system based on silicon photomultipliers: Towards sensitive and ecological mapping of brain activity and neurovascular coupling
2020-01-01 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Greco, G.; Mistretta, L.; Rizzo, R.; Vinciguerra, V.; Romeo, M. F.; Zappasodi, F.; Merla, A.; Fallica, P. G.; Edlinger, G.; Ortner, R.; Giaconia, G. C.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection | 2023 | Raeisi, Khadijeh; Khazaei, Mohammad; Tamburro, Gabriella; Croce, Pierpaolo; Comani, Silvia; Zappasodi, Filippo | |
| A Graph Convolutional Neural Network for the automated detection of seizures in the neonatal EEG | 2022 | RAEISI NAFCHI, Khadijeh; Khazaei, Mohammad; Croce, PIERPAOLO ARTURO; Tamburro, Gabriella; Comani, Silvia; Zappasodi, Filippo | |
| Automated detection and removal of cardiac and pulse interferences from neonatal eeg signals | 2021 | Tamburro, G.; Croce, P.; Zappasodi, F.; Comani, S. | |
| Autonomic impairment in Alzheimer's disease is revealed by complexity analysis of functional thermal imaging signals during cognitive tasks | 2019 | Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Filippini, C.; Croce, P.; Zappasodi, F.; Rotunno, L.; Anzoletti, N.; Zito, M.; Merla, A. | |
| Brain dynamics of visual anticipation during spatial occlusion tasks in expert tennis players | 2023 | Costa, S.; Berchicci, M.; Bianco, V.; Croce, P.; Di Russo, F.; Quinzi, F.; Bertollo, M.; Zappasodi, F. | |
| Brain electrical microstate features as biomarkers of a stable motor output | 2022 | Croce, PIERPAOLO ARTURO; Tecchio, Franca; Tamburro, Gabriella; Fiedler, Patrique; Comani, Silvia; Zappasodi, Filippo | |
| Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis | 2021 | Khazaei, M.; Raeisi, K.; Croce, P.; Tamburro, G.; Tokariev, A.; Vanhatalo, S.; Zappasodi, F.; Comani, S. | |
| Circadian rhythms in Fractal Features of EEG signals | 2018 | Croce, Pierpaolo; Quercia, Angelica; Costa, Sergio; Zappasodi, Filippo | |
| Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings | 2019 | Croce, Pierpaolo; Zappasodi, Filippo; Marzetti, Laura; Merla, Arcangelo; Pizzella, Vittorio; Chiarelli, Antonio Maria | |
| Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification | 2018 | Chiarelli, Am; Croce, P; Merla, A; Zappasodi, F | |
| EEG microstates associated with intra- and inter-subject alpha variability | 2020 | Croce, P.; Quercia, A.; Costa, S.; Zappasodi, F. | |
| EEG microstates distinguish between cognitive components of fluid reasoning | 2019 | Zappasodi, Filippo; Perrucci, Mauro Gianni; Saggino, Aristide; Croce, Pierpaolo; Mercuri, Pasqua; Romanelli, Roberta; Colom, Roberto; Ebisch, Sjoerd J. | |
| EEG-fMRI Bayesian framework for neural activity estimation: A simulation study | 2016 | Croce, Pierpaolo; Basti, Alessio; Marzetti, Laura; Zappasodi, Filippo; DEL GRATTA, Cosimo | |
| EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies | 2024 | Koenig, Thomas; Diezig, Sarah; Kalburgi, Sahana Nagabhushan; Antonova, Elena; Artoni, Fiorenzo; Brechet, Lucie; Britz, Juliane; Croce, Pierpaolo; Custo, Anna; Damborská, Alena; Deolindo, Camila; Heinrichs, Markus; Kleinert, Tobias; Liang, Zhen; Murphy, Michael M; Nash, Kyle; Nehaniv, Chrystopher; Schiller, Bastian; Smailovic, Una; Tarailis, Povilas; Tomescu, Miralena; Toplutaş, Eren; Vellante, Federica; Zanesco, Anthony; Zappasodi, Filippo; Zou, Qihong; Michel, Christoph M | |
| Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke through Machine Learning Approaches | 2020 | Chiarelli, A. M.; Croce, P.; Assenza, G.; Merla, A.; Granata, G.; Giannantoni, N. M.; Pizzella, V.; Tecchio, F.; Zappasodi, F. | |
| Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience? | 2020 | Vellante, Federica; Ferri, Francesca; Baroni, Gaia; Croce, PIERPAOLO ARTURO; Migliorati, Daniele; Pettorruso, Mauro; DE BERARDIS, Domenico; Martinotti, Giovanni; Zappasodi, Filippo; DI GIANNANTONIO, Massimo | |
| Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data | 2021 | Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A. | |
| Exploiting neurovascular coupling: a Bayesian sequential Monte Carlo approach applied to simulated EEG fNIRS data | 2017 | Croce, Pierpaolo; Zappasodi, Filippo; Merla, Arcangelo; Chiarelli, ANTONIO MARIA | |
| Exploring brain activity for positive and negative emotions by means of EEG microstates | 2022 | Prete, Giulia; Croce, Pierpaolo; Zappasodi, Filippo; Tommasi, Luca; Capotosto, Paolo | |
| Fiberless, multi-channel fNIRS-EEG system based on silicon photomultipliers: Towards sensitive and ecological mapping of brain activity and neurovascular coupling | 2020 | Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Greco, G.; Mistretta, L.; Rizzo, R.; Vinciguerra, V.; Romeo, M. F.; Zappasodi, F.; Merla, A.; Fallica, P. G.; Edlinger, G.; Ortner, R.; Giaconia, G. C. |