3 papers
eess.IV2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
Alberto Signoroni, Mattia Savardi, Sergio Benini +8
In this work we design an end-to-end deep learning architecture for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVI…
eess.IV2019
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI
Dennis Bontempi, Sergio Benini, Alberto Signoroni +2
Many functional and structural neuroimaging studies call for accurate morphometric segmentation of different brain structures starting from image intensity values of MRI scans. Cur…
cs.MM2018
Who is the director of this movie? Automatic style recognition based on shot features
Michele Svanera, Mattia Savardi, Alberto Signoroni +2
We show how low-level formal features, such as shot duration, meant as length of camera takes, and shot scale, i.e. the distance between the camera and the subject, are distinctive…