327 citations · 354 across the 5 of their papers we have counts for
5 papers
On the -Hamming and -Edit Distances
Chiara Epifanio, Luca Forlizzi, Francesca Marzi +3
In this paper we consider the weighted -Hamming and -Edit distances, that are natural generalizations of the classical Hamming and Edit distances. As main results of this pap…
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images
Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald +4
Motion artefacts in magnetic resonance brain images can have a strong impact on diagnostic confidence. The assessment of MR image quality is fundamental before proceeding with the…
Ensemble CNN and Uncertainty Modeling to Improve Automatic Identification/Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Imaging
Giuseppe Placidi, Luigi Cinque, Daniela Iacoviello +2
To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions with the use of Magnetic Resonance Imaging (MRI) have been presented, but t…
Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals
Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli
Electroencephalography (EEG) measures the electrical brain activity in real-time by using sensors placed on the scalp. Artifacts, due to eye movements and blink, muscular/cardiac a…
A Light CNN for detecting COVID-19 from CT scans of the chest
Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
OVID-19 is a world-wide disease that has been declared as a pandemic by the World Health Organization. Computer Tomography (CT) imaging of the chest seems to be a valid diagnosis t…