no code implementations • 15 Jun 2023 • Chiara Epifanio, Luca Forlizzi, Francesca Marzi, Filippo Mignosi, Giuseppe Placidi, Matteo Spezialetti
In this paper we consider the weighted $k$-Hamming and $k$-Edit distances, that are natural generalizations of the classical Hamming and Edit distances.
1 code implementation • 14 Jun 2022 • Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra
An automated image quality assessment based on the structural similarity index (SSIM) regression through a residual neural network is proposed in this work.
no code implementations • 26 Aug 2021 • Giuseppe Placidi, Luigi Cinque, Daniela Iacoviello, Filippo Mignosi, Matteo Polsinelli
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 they are outperformed by human experts, from whom they act very differently.
no code implementations • 8 Sep 2020 • Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli
Artifacts, due to eye movements and blink, muscular/cardiac activity and generic electrical disturbances, have to be recognized and eliminated to allow a correct interpretation of the useful brain signals (UBS) of EEG.
no code implementations • 24 Apr 2020 • 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.