Browse by Relators
![[up]](/style/images/multi_up.png)
Up a levelGroup by: Date | No Grouping
Number of items: 7.
-
Alice Corini.
Automated Deep Learning of Primary Progressive Aphasia (PPA) variants from cognitive-test voice recordings and T1-weighted MRI data.
Rel. Filippo Molinari, Massimo Salvi, Massimo Filippi, Federica Agosta, Silvia Basaia. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
Preview -
Francesco Vurchio.
Detecting freezing of gait in Parkinson’s Disease (PD) with functional near-infrared spectroscopy (fNIRS), surface electromyography, and inertial sensors.
Rel. Filippo Molinari, Massimo Filippi, Federica Agosta, Silvia Basaia, Massimo Salvi. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
Preview
-
Beatrice Zorniotti.
Machine Learning–based multimodal classification of Primary Progressive Aphasia (PPA) variants from automatically transcribed speech and diffusion MRI microstructure.
Rel. Filippo Molinari, Massimo Salvi, Massimo Filippi, Federica Agosta, Silvia Basaia. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
Preview
-
Tommaso Cusolito.
Network-based diffusion analysis and functional connectivity in modelling atrophy progression for early detection of GBA-associated Parkinson’s disease.
Rel. Filippo Molinari, Massimo Salvi, Massimo Filippi, Federica Agosta, Silvia Basaia. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
Preview
-
Tania Filaferro.
Spatiotemporal Deep Learning for early detection and differentiation in idiopathic REM Sleep Behavior Disorder and Parkinson's Disease using functional MRI data.
Rel. Filippo Molinari, Massimo Salvi, Massimo Filippi, Federica Agosta, Silvia Basaia. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024
![[thumbnail of Tesi_di_laurea]](https://webthesis.biblio.polito.it/style/images/fileicons/application_pdf.png "Tesi_di_laurea")
-
Francesco Sciancalepore.
IDENTIFICATION OF PARKINSON'S DISEASE BIOMARKERS IN A MULTI-MODAL AI FRAMEWORK USING RAW MRI AND CLINICAL DATA.
Rel. Filippo Molinari, Massimo Filippi, Federica Agosta, Silvia Basaia. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023
Preview
-
Federica Facente.
Modeling pathological spread through brain connectome in the frontotemporal lobar degeneration spectrum.
Rel. Filippo Molinari, Massimo Filippi, Federica Agosta, Silvia Basaia. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022
Preview
