A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients. - Milos Ajcevic; Aleksandar Miladinovic; Giulia Silveri; Giovanni Furlanis; Tommaso Cillotto; Alex Buoite Stella; Paola Caruso; Maja Ukmar; Marcello Naccarato; Alfredo Cuzzocrea; Paolo Manganotti; Agostino Accardo (ICCSA (1), 2020)

Wireless EEG in hyper-acute ischemic stroke: correlation between neurophysiological alterations and CTP total hypoperfused volume. - Milos Ajcevic; Giovanni Furlanis; Aleksandar Miladinovic; Marcello Naccarato; Giulia Silveri; Paola Caruso; Agostino Accardo; Paolo Manganotti (KES, 2020)

Ischemic lesion volume prediction in thrombolysis treated wake-up stroke patients. - Milos Ajcevic; Aleksandar Miladinovic; Giovanni Furlanis; Marcello Naccarato; Alex Buoite Stella; Paola Caruso; Paolo Manganotti; Agostino Accardo (KES, 2021)

e-Health solution for home patient telemonitoring in early post-acute TIA/Minor stroke during COVID-19 pandemic. - Milos Ajcevic; Giovanni Furlanis; Marcello Naccarato; Paola Caruso; Paola Polverino; Alessandro Marsich; Agostino Accardo; Paolo Manganotti (Int. J. Medical Informatics, 2021)

Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study. - Milos Ajcevic; Giovanni Furlanis; Marcello Naccarato; Aleksandar Miladinovic; Alex Buoite Stella; Paola Caruso; Tommaso Cillotto; Agostino Accardo; Paolo Manganotti (Medical Biol. Eng. Comput., 2021)

Wake-up Stroke Outcome Prediction by Interpretable Decision Tree Model. - Milos Ajcevic; Aleksandar Miladinovic; Giovanni Furlanis; Alex Buoite Stella; Marcello Naccarato; Paola Caruso; Paolo Manganotti; Agostino Accardo (MIE, 2022)

A Novel Non-Invasive Thermometer for Continuous Core Body Temperature: Comparison with Tympanic Temperature in an Acute Stroke Clinical Setting. - Milos Ajcevic; Alex Buoite Stella; Giovanni Furlanis; Paola Caruso; Marcello Naccarato; Agostino Accardo; Paolo Manganotti (Sensors, 2022)

Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern: the impact of dataset balancing techniques. - Katerina Iscra; Alessandro Biscontin; Aleksandar Miladinovic; Andrea Bonini; Giovanni Furlanis; Gabriele Prandin; Michele Malesani; Marcello Naccarato; Paolo Manganotti; Agostino Accardo; Milos Ajcevic (KES, 2024)