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Titolo Data di pubblicazione Autore(i) File
Quantifying the complexity of epileptic EEG 1-gen-2016 Mammone, N.; Duun-Henriksen, J.; Kjaer, T. W.; Campolo, M.; La Foresta, F.; Morabito, F. C.
Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease 1-gen-2016 Mammone, N; Bonanno, L; De Salvo, S; Bramanti, A; Adeli, H; Ieracitano, C; Campolo, M; Bramanti, P; Morabito, Francesco Carlo
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia 1-gen-2017 Morabito, Francesco Carlo; Campolo, M; Mammone, N; Franceschetti, S; Tagliavini, F; Gambardella, A; Cianci, V; Ferlazzo, E; Aguglia, U; Versaci, Mario; Sofia, V; Fatuzzo, D; Labate, A; Mumoli, L; Tripodi, Gg; Gasparini, S; Sueri, C
Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients 1-gen-2017 Mammone, N; Bonanno, L; De Salvo, S; Marino, S; Bramanti, P; Bramanti, A; Morabito, Francesco Carlo
Investigating the brain connectivity evolution in AD and MCI patients through the EEG signals’ wavelet coherence 1-gen-2017 Ieracitano, C.; Mammone, N.; La Foresta, F.; Morabito, F. C.
Preprocessing the EEG of Alzheimer’s patients to automatically remove artifacts 1-gen-2017 Mammone, N.
A permutation disalignment index-based complex network approach to evaluate longitudinal changes in brain-electrical connectivity 1-gen-2017 Mammone, N; De Salvo, S; Ieracitano, C; Marino, S; Marra, A; Corallo, F; Morabito, Francesco Carlo
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects 1-gen-2018 Mammone, N; Ieracitano, C; Adeli, H; Bramanti, A; Morabito, Francesco Carlo
Compressibility of High-Density EEG Signals in Stroke Patients 1-gen-2018 Mammone, N; De Salvo, S; Ieracitano, C; Marino, S; Cartella, E; Bramanti, A; Giorgianni, R; Morabito, Francesco Carlo
Information theoretic-based interpretation of a deep neural network approach in diagnosing psychogenic non-epileptic seizures 1-gen-2018 Gasparini, S; Campolo, M; Ieracitano, C; Mammone, N; Ferlazzo, E; Sueri, C; Tripodi, Gg; Aguglia, U; Morabito, F
METHOD FOR DETECTING A CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE 1-gen-2019 Mammone, N; Morabito, Francesco Carlo; Bramanti, P ; Bramanti, A; Campolo, M; Ieracitano, C; Bonanno, L
A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer's disease using EEG signals 1-gen-2019 Amezquita-Sanchez, Jp; Mammone, N; Morabito, Francesco Carlo; Marino, S; Adeli, H
Leveraging network analysis to support experts in their analyses of subjects with MCI and AD 1-gen-2019 Lo Giudice, P; Mammone, N; Morabito, Francesco Carlo; Pizzimenti, Rg; Ursino, D; Virgili, L
A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings 1-gen-2019 Ieracitano, C; Mammone, N; Bramanti, A; Hussain, A; Morabito, Francesco Carlo
Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects 1-gen-2019 Mammone, N; De Salvo, S; Bonanno, L; Ieracitano, C; Marino, S; Marra, A; Bramanti, A; Morabito, Francesco Carlo
Evolution characterization of alzheimer’s disease using eLORETA’s three-dimensional distribution of the current density and small-world network 1-gen-2019 Inuso, G.; La Foresta, F.; Mammone, N.; Dattola, S.; Morabito, F. C.
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing 1-gen-2019 Ieracitano, C.; Mammone, N.; Bramanti, A.; Marino, S.; Hussain, A.; Morabito, F. C.
A new network-based approach to investigating neurological disorders 1-gen-2019 Cauteruccio, F.; Giudice, P. L.; Terracina, G.; Ursino, D.; Mammone, N.; Morabito, F. C.
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia 1-gen-2020 Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C.
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications 1-gen-2020 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
Mostrati risultati da 41 a 60 di 102
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