POLSINELLI, Mario
POLSINELLI, Mario
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A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components
2021 Placidi, G.; Cinque, L.; Polsinelli, M.
A light CNN for detecting COVID-19 from CT scans of the chest
2020 Polsinelli, M.; Cinque, L.; Placidi, G.
A Web application for characterizing spontaneous emotions using long EEG recording sessions
2019 Placidi, G.; Cinque, L.; Polsinelli, M.
Automatic framework for multiple sclerosis follow-up by magnetic resonance imaging for reducing contrast agents
2019 Placidi, G.; Cinque, L.; Polsinelli, M.; Splendiani, A.; Tommasino, E.
Guidelines for effective automatic multiple sclerosis lesion segmentation by magnetic resonance imaging
2020 Placidi, G.; Cinque, L.; Polsinelli, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components | 2021 | Placidi, G.; Cinque, L.; Polsinelli, M. | |
| A light CNN for detecting COVID-19 from CT scans of the chest | 2020 | Polsinelli, M.; Cinque, L.; Placidi, G. | |
| A Web application for characterizing spontaneous emotions using long EEG recording sessions | 2019 | Placidi, G.; Cinque, L.; Polsinelli, M. | |
| Automatic framework for multiple sclerosis follow-up by magnetic resonance imaging for reducing contrast agents | 2019 | Placidi, G.; Cinque, L.; Polsinelli, M.; Splendiani, A.; Tommasino, E. | |
| Guidelines for effective automatic multiple sclerosis lesion segmentation by magnetic resonance imaging | 2020 | Placidi, G.; Cinque, L.; Polsinelli, M. |