no code implementations • 6 Apr 2023 • Francesco Bardozzo, Andrea Terlizzi, Pietro Liò, Roberto Tagliaferri
The performance of the models is demonstrated against randomly wired networks and compared to artificial networks ranked on global benchmarks.
1 code implementation • Medical Image Analysis 2022 • Francesco Bardozzo, Toby Collins, Antonello Forgione, Alexandre Hostettler, Roberto Tagliaferri
Accurate and real-time methodologies for a non-invasive three-dimensional representa-tion and reconstruction of internal patient structures is one of the main research fieldsin computer-assisted surgery and endoscopy.
1 code implementation • 1 May 2021 • Fabio Hernán Gil Zuluaga, Francesco Bardozzo, Jorge Iván Ríos Patiño, Roberto Tagliaferri
In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality of image analysis.
1 code implementation • 1 Aug 2020 • Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri
Results: Network multi-omic integration has led to the discovery of interesting oscillatory signals.
Molecular Networks Computational Engineering, Finance, and Science I.5.2
no code implementations • 4 Mar 2020 • Francesco Bardozzo, Borja De La Osa, Lubomira Horanska, Javier Fumanal-Idocin, Mattia delli Priscoli, Luigi Troiano, Roberto Tagliaferri, Javier Fernandez, Humberto Bustince
This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals.
no code implementations • 13 Jan 2020 • Francesco Bardozzo, Pietro Lio', Roberto Tagliaferri
In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described.