User profiles for Diego Sona
 | Diego SonaFondazione Bruno Kessler & Istituto Italiano di Tecnologia Verified email at iit.it Cited by 1726 |
[HTML][HTML] Chronic and acute intranasal oxytocin produce divergent social effects in mice
Intranasal administration of oxytocin (OXT) might be a promising new adjunctive therapy for
mental disorders characterized by social behavioral alterations such as autism and …
mental disorders characterized by social behavioral alterations such as autism and …
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation
In this paper, we present an automated approach for segmenting multiple sclerosis (MS)
lesions from multi-modal brain magnetic resonance images. Our method is based on a deep …
lesions from multi-modal brain magnetic resonance images. Our method is based on a deep …
[HTML][HTML] AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Recent epidemiological data report that worldwide more than 53 million people have been
infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading …
infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading …
[HTML][HTML] Automatic visual tracking and social behaviour analysis with multiple mice
Social interactions are made of complex behavioural actions that might be found in all
mammalians, including humans and rodents. Recently, mouse models are increasingly being …
mammalians, including humans and rodents. Recently, mouse models are increasingly being …
[PDF][PDF] Unsupervised spike sorting for large-scale, high-density multielectrode arrays
We present a method for automated spike sorting for recordings with high-density, large-scale
multielectrode arrays. Exploiting the dense sampling of single neurons by multiple …
multielectrode arrays. Exploiting the dense sampling of single neurons by multiple …
Scanner invariant multiple sclerosis lesion segmentation from MRI
This paper presents a simple and effective generalization method for magnetic resonance
imaging (MRI) segmentation when data is collected from multiple MRI scanning sites and as a …
imaging (MRI) segmentation when data is collected from multiple MRI scanning sites and as a …
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices
An important task in connectomics studies is the classification of connectivity graphs coming
from healthy and pathological subjects. In this paper, we propose a mathematical framework …
from healthy and pathological subjects. In this paper, we propose a mathematical framework …
Contextual processing of structured data by recursive cascade correlation
This paper propose a first approach to deal with contextual information in structured domains
by recursive neural networks. The proposed model, ie, contextual recursive cascade …
by recursive neural networks. The proposed model, ie, contextual recursive cascade …
Clustering documents in a web directory
Hierarchical categorization of documents is a task receiving growing interest due to the
widespread proliferation of topic hierarchies for text documents. The worst problem of …
widespread proliferation of topic hierarchies for text documents. The worst problem of …
[HTML][HTML] Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior
Despite many structural and functional aspects of the brain organization have been
extensively studied in neuroscience, we are still far from a clear understanding of the intricate …
extensively studied in neuroscience, we are still far from a clear understanding of the intricate …