The CoCoLIT project represents a breakthrough in early Alzheimer’s diagnosis: it was born from the need to overcome the limitations…
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Detection of Memorization in Generative Models for Medical Imaging
The diffusion of deep generative models has led to the creation of synthetic data for medical imaging, which is essential…
Neurodegenerative Disease Progression Modeling
Understanding and predicting the progression of neurodegenerative diseases are central topics in modern neurological research. My scientific production includes a…
Re-Identification of Brain MRIs
DeepBrainPrint is a contrastive deep learning framework for re-identification of subjects through brain MRIs, accepted at the Medical Imaging with…
Recognition of Artifacts in MRIs
Large medical imaging datasets are becoming standard, but a crucial challenge remains: ensuring that every MRI scan is of sufficient…
Super-Resolution and Deep Learning for Endomicroscopy
In recent years, research on the qualitative improvement of endomicroscopy using Artificial Intelligence has seen our group contribute both with…
Intraoperative Tumor Identification with Hyperspectral Imaging
Our group has substantially contributed to the advancement of hyperspectral imaging (HSI) applied to neurosurgery, pushing this technology from initial…
Intelligent Data Analysis from Wearable Devices for Patient Monitoring
The increasing presence of wearable devices (smartwatches, low-power sensors) has paved the way to massive collection of physiological data for…
Automatic Food Classification using Smartphone
The “FoodRec” project was born from the need to address the growing epidemic of obesity and its chronic complications, proposing…