Giorgio Dolci (MS degree in Medical Bioinformatics): "Exploiting Multimodal Generative and Interpretable Deep Models for Decrypting Alzheimer’s Disease Signatures", 2022, Supervision: Gloria Menegaz, Co-supervision: Vince D. Calhoun, Federica Cruciani and Ilaria Boscolo Galazzo.
Simone Dolci (MS degree in Medical Bioinformatics): "Semi-automation of ECGScan: improving preprocessing techniques for digitizing paper electrocardiograms", 2022, Supervision: Silvia F. Storti.
Riccardo Marchesini (MS degree in Computer Science and Engineering): "Multi-Task Learning for neurodegenerative disease diagnosis", 2022, Supervision: Gloria Menegaz, Co-supervision: Lorenza Brusini.
Ettore Cinquetti (MS degree in Computer Science and Engineering): "Multi-channel Variational Autoencoder for data integration in imaging genetics", 2022, Supervision: Gloria Menegaz, Co-supervision: Federica Cruciani.
Luca Crivellaro (MS degree in Computer Science and Engineering): "Motor-imagery EEG signal decoding using empirical wavelet transform for brain computer interfaces", 2021, Supervision: Silvia F. Storti, Co-supervision: Lorenza Brusini.
Alvise Vivenza (MS degree in Computer Science and Engineering): "Interpretable deep learning for stratifying Multiple Sclerosis patients relying on brain microstructure", 2021, Supervision: Gloria Menegaz, Co-supervision: Ilaria B. Galazzo.
Virginia Filippi (BS degree in Bioinformatics): "Connecting network-level brain structure-function in Alzheimer's Disease", 2022, Supervision: Silvia F. Storti, Co-supervision: Ilaria B. Galazzo.
Tommaso Zajac (BS degree in Bioinformatics): "Misure della microstruttura cerebrale in silico e in vivo: il potenziale nascosto delle acquisizioni single shell", 2022, Supervision: Gloria Menegaz, Co-supervision: Lorenza Brusini and Mauro Zucchelli.
Giulia Impagnatiello (BS degree in Computer Science): "Motor-Imagery Brain Computer Interface: sviluppo di un approccio tempo-variante per l'analisi del segnale EEG", 2022, Supervision: Silvia F. Storti, Co-supervision: Ilaria Siviero.
Giulia Doro (BS degree in Computer Science): "Il ruolo del Phase Lag Index nella classificazione multi-classe di un segnale elettroencefalografico", 2022, Supervision: Silvia F. Storti, Co-supervision: Ilaria Siviero.
Edoardo Signoretto (BS degree in Bioinformatics): "Feature selection e classificazione multi classe di segnali EEG per il controllo di una interfaccia cervello computer", 2022, Supervision: Silvia F. Storti, Co-supervision: Ilaria Siviero.
Veronica Papini (BS degree in Bioinformatics) :"Studio della connettivita’ cerebrale basata su perfusione con tecniche avanzate di Arterial Spin Labeling", 2022, Supervision: Gloria Menegaz, Co-supervision: Ilaria B. Galazzo.
Alessio Caramori (BS degree in Bioinformatics): "Filtraggio, estrazione e classificazione di “features” per l’interfaccia cervello-computer basata su segnali EEG", 2022, Supervision: Silvia F. Storti, Co-supervision: Ilaria Siviero.
Sofia Vangelista (BS degree in Bioinformatics) :"Identification of discriminative cerebral blood flow patterns in healthy and pathological subjects", 2021, Supervision: Gloria Menegaz. Co-supervision: Ilaria B. Galazzo.
Lucrezia Vetro (BS degree in Bioinformatics): "Investigation of the cerebral gray matter microstructure through diffusion weighted imaging in healthy and pathological subjects", 2021, Supervision: Gloria Menegaz, Co-supervision: Lorenza Brusini.
Alberto Carli (BS degree in Computer Science): "Brain connectivity analysis of EEG signals for Motor Imagery based BCI applications", 2021, Supervision: Silvia F. Storti, Co-supervision: Gloria Menegaz
Mattia Frusca (BS degree in Computer Science): "Analysis of the Motor-Imagery based BCI Classification Performance using EEG derived Brain Connectivity Measures", 2021, Supervision: Silvia F. Storti, Co-supervision: Lorenza Brusini.
Cesare Montresor (BS degree in Computer Science): "Extending ROSNeuro: An open-source framework for research on brain-computer interface", 2021, Supervision: Silvia F. Storti.
Fabiola Fabretti (BS degree in Computer Science): "Representation and extraction of network measures from resting-state fMRI time series in patients with neurodegenerative diseases", 2021, Supervision: Silvia F. Storti. Co-supervision: Ilaria B. Galazzo.
Diego Rosa (BS degree in Bioinformatics): "Interpretable random forest to stratify Alzheimer's Disease patients relying on MRI and Polygenic Risk scores", 2021, Supervision: Gloria Menegaz, Co-supervision: Federica Cruciani, Lorenza Brusini.
Giulia Menegazzi (BS degree in Bioinformatics): "From dMRI derived microstructural indices to clinical assessment: a PLS model", 2021, Supervision: Silvia F. Storti, Co-supervision: Lorenza Brusini.
Benedetta Visonà (BS degree in Bioinformatics): "Analisi statistica del segnale EEG per rilevare le modulazioni di connettività cerebrale indotte da movimenti di reaching&grasping", 2021, Supervision: Silvia F. Storti, Co-supervision: G. Menegaz.
Loredana Iuliana Tiru (BS degree in Bionformatics): "Multiple sclerosis progression modelling through Bayesian Gaussian processes regression", 2020, Supervision: Gloria Menegaz, Co-supervision: Lorenza Brusini.
Walter Endrizzi (BS degree in Computer Science): "Quantifying reliability of brain connectomics: comparison between functional and effettive connectivity metrics", 2020, Supervision: Silvia F. Storti. Co-supervision: Ilaria B. Galazzo.
Edoardo Paolini (BS degree in Computer Science): "Test-retest reliability analysis of functional and effective connectivity measures in resting state fMRI", 2020, Supervision: Silvia F. Storti. Co-supervision: Ilaria B. Galazzo.
Francesco Zumerle (BS degree in Computer Science): "Brain complex network analysis of test-retest resting-state fMRI data", 2020, Supervision: Silvia F. Storti. Co-supervision: Ilaria B. Galazzo.
Laura Maule (BS degree in Computer Science): "Analysis of EEG Data for the control of a robotic arm in a BCI system", 2020, Supervision: Silvia F. Storti.
Chiara Merlin (BS degree in Bioinformatics): "Acquisition and analysis of EEG signals for non-invasive BCI systems", 2020, Supervision: Silvia F. Storti.
Giorgio Dolci (BS degree in Bioinformatics): "Viability of Diffusion MRI derived features and Polygenic Risk Score to decrypt Alzheimer disease progression", 2020, Supervision: Gloria Menegaz, Co-supervision: Federica Cruciani.
Martina Ortolan (BS degree in Bioinformatics): "Development of a EEG-based BCI system for the control of a robotic arm using Python", 2020, Supervision: Silvia F. Storti.
Simone Dolci (BS degree in Bioinformatics): "Development of a BCI system with Python: analysis methods of EEG signals", 2020, Supervision: Silvia F. Storti.
Linda Zampieri (BS degree in Bioinformatics): "Analisi statistica del segnale EEG per rilevare le modulazioni di connettività cerebrale indotte da movimenti di reaching&grasping", 2019, Supervision: Silvia F. Storti.