Bioengineering

Pietro Bontempi
Temporary Assistant Professor
Ilaria Boscolo Galazzo
Temporary Assistant Professor
Lorenza Brusini
Temporary Assistant Professor
Gloria Menegaz
Full Professor
Silvia Francesca Storti
Associate Professor
Research interests
Topic People Description
Bioingegneria
Biomedical data processing Gloria Menegaz
Feature extraction and integration from multi-modal data using multi-scale sparse representations for the definition of numerical biomarkers. Pattern recognition and machine learning for medical imaging and behavioral analysis.
Multi-modal biomedical image processing Gloria Menegaz
Computer vision and computational intelligence. Segmentation of multi-dimensional multi-modal data and objective validation of the outcomes.
Neuroimaging Pietro Bontempi
Ilaria Boscolo Galazzo
Lorenza Brusini
Gloria Menegaz
Silvia Francesca Storti
The main activity is in the field of neuroimaging, including structural (diffusion MRI) and functional (EEG, fNIRS, functional MRI) imaging as well as perceptual analysis through cognitive science methods. The goal is to gain an holistic view of human brain when inspected in specific conditions by the integration of multi-modal multi-scale probing and modeling. In addition, advanced computer vision and pattern recognition methods are employed for designing numerical biomarkers for the characterization of healthy and pathological conditions.
Neuroimaging Data Analysis Silvia Francesca Storti
This domain regards the analysis of data coming from sensing devices measuring the brain strucural and functional information. The main utilised device is Magnetic Resonance Imaging (MRI) in its various modalities such as diffusion, structural, and functional MRI, as well as other sensors like EEG, fNIRS, MEG. The main goal is to better understanding brain functions by means of an integrated functional and structural analysis of the brain connectivity or of specific brain regions. This investigation is mainly performed with reference to neurological disorders - like autism and schizophrenia - and in comparison with control (healthy) subjects.
Sparse signal processing Gloria Menegaz
Sparse multi-resolution representations for analysis and modeling of biological signals including diffusion MRI and EEG.
Gruppi di ricerca
Name Description URL
Bioingegneria
Biomedical Imaging Tecniche di Imaging sperimentali e traslazionali principalmente sulle tecniche di Imaging a Risonanza Magnetica e Imaging Ottico
Neuroimaging Group
Visione, Immagini, Pattern e Segnali (VIPS) Le attività del gruppo VIPS sono rivolte all’analisi, al riconoscimento, alla modellazione e alla predizione di pattern e segnali multidimensionali e multimediali mediante metodi di intelligenza artificiale e apprendimento automatico. Le competenze specifiche e i domini applicativi riguardano: elaborazione delle immagini, visione artificiale, riconoscimento di pattern, interazione uomo-macchina, grafica al calcolatore e modellazione digitale, realtà virtuale e mista, gaming e all’analisi e modellazione di dati in ambito biomedicale e delle neuroscienze a fini di ricerca di base e traslazionale. http://vips.sci.univr.it/
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