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Piergiuseppe Liuzzi
Piergiuseppe Liuzzi
Scuola Superiore Sant'Anna
Verified email at dongnocchi.it
Title
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Cited by
Year
Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review
S Campagnini, C Arienti, M Patrini, P Liuzzi, A Mannini, MC Carrozza
Journal of NeuroEngineering and Rehabilitation 19 (1), 54, 2022
432022
Predicting outcome of patients with prolonged disorders of consciousness using machine learning models based on medical complexity
P Liuzzi, A Magliacano, F De Bellis, A Mannini, A Estraneo
Scientific Reports 12 (1), 13471, 2022
252022
Cross-validation of predictive models for functional recovery after post-stroke rehabilitation
S Campagnini, P Liuzzi, A Mannini, B Basagni, C Macchi, MC Carrozza, ...
Journal of NeuroEngineering and Rehabilitation 19 (1), 96, 2022
202022
Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review
S Campagnini, P Liuzzi, A Mannini, R Riener, MC Carrozza
Journal of NeuroEngineering and Rehabilitation 19 (1), 52, 2022
192022
EEG-based methods for recovery prognosis of patients with disorders of consciousness: a systematic review
S Ballanti, S Campagnini, P Liuzzi, B Hakiki, M Scarpino, C Macchi, ...
Clinical Neurophysiology 144, 98-114, 2022
162022
Data-driven prediction of decannulation probability and timing in patients with severe acquired brain injury
A Mannini, B Hakiki, P Liuzzi, S Campagnini, A Romoli, F Draghi, ...
Computer Methods and Programs in Biomedicine 209, 106345, 2021
142021
Merging clinical and EEG biomarkers in an elastic-net regression for disorder of consciousness prognosis prediction
P Liuzzi, A Grippo, S Campagnini, M Scarpino, F Draghi, A Romoli, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1504-1513, 2022
112022
Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors
P Liuzzi, I Carpinella, D Anastasi, E Gervasoni, T Lencioni, R Bertoni, ...
Scientific Reports 13 (1), 8640, 2023
72023
Heart rate variability for the evaluation of patients with disorders of consciousness
P Liuzzi, S Campagnini, B Hakiki, R Burali, M Scarpino, C Macchi, ...
Clinical Neurophysiology 150, 31-39, 2023
62023
Study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: A prospective observational study
P Fransvea, G Fransvea, P Liuzzi, G Sganga, A Mannini, G Costa
International Journal of Surgery 107, 106954, 2022
62022
Consciousness-Domain Index: A data-driven clustering-based consciousness labeling
P Liuzzi, F De Bellis, A Magliacano, A Estraneo, A Mannini
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
62022
Multiplexing biosensor for the detection of extracellular vesicles as biomarkers of tissue damage and recovery after ischemic stroke
S Picciolini, V Mangolini, F Rodà, A Montesano, F Arnaboldi, P Liuzzi, ...
International Journal of Molecular Sciences 24 (9), 7937, 2023
52023
EEG asymmetry detection in patients with severe acquired brain injuries via machine learning methods
L Corsi, P Liuzzi, S Ballanti, M Scarpino, A Maiorelli, R Sterpu, C Macchi, ...
Biomedical Signal Processing and Control 79, 104260, 2023
52023
Predicting post COVID-19 rehabilitation duration with linear kernel SVR
E Setti, P Liuzzi, S Campagnini, C Fanciullacci, C Arienti, M Patrini, ...
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
52021
Predicting SARS-CoV-2 infection duration at hospital admission: a deep learning solution
P Liuzzi, S Campagnini, C Fanciullacci, C Arienti, M Patrini, MC Carrozza, ...
Medical & Biological Engineering & Computing, 1-12, 2022
42022
Predicting long-term recovery of consciousness in prolonged disorders of consciousness based on coma recovery scale-revised subscores: validation of a machine learning-based …
A Magliacano, P Liuzzi, R Formisano, A Grippo, E Angelakis, A Thibaut, ...
Brain sciences 13 (1), 51, 2022
32022
Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted Rehabilitation
S Campagnini, P Liuzzi, S Galeri, A Montesano, M Diverio, F Cecchi, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
32022
Effects of COVID-19 pandemic on intensive rehabilitation after severe acquired brain injuries
B Hakiki, A Grippo, M Scarpino, P Liuzzi, A Mannini, C Macchi, F Cecchi
Neurological Sciences 43 (2), 791-798, 2022
32022
The consciousness domain index: External validation and prognostic relevance of a data-driven assessment
P Liuzzi, B Hakiki, A Magliacano, G Chiesa, F De Bellis, F Cecchi, ...
IEEE Journal of Biomedical and Health Informatics, 2023
22023
EEG fractal dimensions predict high-level behavioral responses in minimally conscious patients
P Liuzzi, B Hakiki, F Draghi, AM Romoli, R Burali, M Scarpino, F Cecchi, ...
Journal of Neural Engineering 20 (4), 046038, 2023
12023
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