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Piergiuseppe Liuzzi

Showing results (31-40 of 38) with videos related to

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Neurophysiologie Clinique = Clinical Neurophysiology|February 29, 2024
Quantitative EEG and prognosis for recovery in post-stroke patients: The effect of lesion lateralityPiergiuseppe Liuzzi, Antonello Grippo, Alessandro Sodero, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 18, 2024
Low-density EEG-based Functional Connectivity Discriminates Minimally Conscious State plus from minusSara Secci, Piergiuseppe Liuzzi, Bahia Hakiki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted RehabilitationSilvia Campagnini, Piergiuseppe Liuzzi, Silvia Galeri, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 31, 2022
Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis PredictionPiergiuseppe Liuzzi, Antonello Grippo, Silvia Campagnini, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 14, 2026
Perturbational complexity index detects subclinical cortical changes in early multiple sclerosisElisabetta Cecconi, Piergiuseppe Liuzzi, Camilla Bruscagli, et al.
Computer Methods and Programs in Biomedicine|April 29, 2026
Tracheostomy weaning in patients with severe acquired brain injury: External validation of machine learning modelsPiergiuseppe Liuzzi, Bahia Hakiki, Francesca Draghi, et al.
Brain Sciences|January 21, 2023
Predicting Long-Term Recovery of Consciousness in Prolonged Disorders of Consciousness Based on Coma Recovery Scale-Revised Subscores: Validation of a Machine Learning-Based Prognostic IndexAlfonso Magliacano, Piergiuseppe Liuzzi, Rita Formisano, et al.
European Journal of Neurology|April 25, 2025
Predictors of Recovering Full Consciousness: Results From a Prospective Multisite Italian StudyBahia Hakiki, Piergiuseppe Liuzzi, Anna Maria Romoli, et al.
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Showing results (31-40 of 38) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 38 results.
Neurophysiologie Clinique = Clinical Neurophysiology|February 29, 2024
Quantitative EEG and prognosis for recovery in post-stroke patients: The effect of lesion lateralityPiergiuseppe Liuzzi, Antonello Grippo, Alessandro Sodero, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 18, 2024
Low-density EEG-based Functional Connectivity Discriminates Minimally Conscious State plus from minusSara Secci, Piergiuseppe Liuzzi, Bahia Hakiki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted RehabilitationSilvia Campagnini, Piergiuseppe Liuzzi, Silvia Galeri, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 31, 2022
Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis PredictionPiergiuseppe Liuzzi, Antonello Grippo, Silvia Campagnini, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 14, 2026
Perturbational complexity index detects subclinical cortical changes in early multiple sclerosisElisabetta Cecconi, Piergiuseppe Liuzzi, Camilla Bruscagli, et al.
Computer Methods and Programs in Biomedicine|April 29, 2026
Tracheostomy weaning in patients with severe acquired brain injury: External validation of machine learning modelsPiergiuseppe Liuzzi, Bahia Hakiki, Francesca Draghi, et al.
Brain Sciences|January 21, 2023
Predicting Long-Term Recovery of Consciousness in Prolonged Disorders of Consciousness Based on Coma Recovery Scale-Revised Subscores: Validation of a Machine Learning-Based Prognostic IndexAlfonso Magliacano, Piergiuseppe Liuzzi, Rita Formisano, et al.
European Journal of Neurology|April 25, 2025
Predictors of Recovering Full Consciousness: Results From a Prospective Multisite Italian StudyBahia Hakiki, Piergiuseppe Liuzzi, Anna Maria Romoli, et al.
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