Open calls - stage & thesis

Sviluppo di Brain Computer Interface basate sulla connettività cerebrale/Brain-connectivity-based Brain Computer Interfaces - (silviafrancesca.storti@univr.it)

Modellazione della microstruttura cerebrale e connettivita’ strutturale/ Modelling of brain microstructure and structural connectivity - (lorenza.brusini@univr.it-ilaria.boscologalazzo@univr.it)

Sviluppo di algoritmi AI e di eXplainable AI per la neuroingegneria/ Development of AI algorithms and XAI for neuroengineering applications - (gloria.menegaz@univr.it-ilaria.boscologalazzo@univr.it)

Imaging genetics e transcriptomics nelle malattie neurodegenerative/ Imaging genetics and transcriptomics in neurodegenerative disease - (gloria.menegaz@univr.it-ilaria.boscologalazzo@univr.it-lorenza.brusini@univr.it)

Sviluppo di metodi e modelli per lo studio della connettività dinamica in risonanza magnetica funzionale/ Brain Dynamics and connectivity in functional magnetic resonance imaging - (silviafrancesca.storti@univr.it-ilaria.boscologalazzo@univr.it)

Ongoing project

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Closed projects

M.Sc. Thesis

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.


B.Sc. Thesis

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.