61 citations · 102 across the 14 of their papers we have counts for
16 papers
US \& MRI Image Fusion Based on Markerless Skin Registration
Martina Paccini, Giacomo Paschina, Stefano De Beni +3
This paper presents an innovative automatic fusion imaging system that combines 3D CT/MR images with real-time ultrasound (US) acquisition. The system eliminates the need for exter…
3D Patient-specific Modelling and Characterisation of Muscle-Skeletal Districts
Martina Paccini, Giuseppe Patanè, Michela Spagnuolo
This work addresses the patient-specific characterisation of the morphology and pathologies of muscle-skeletal districts (e.g., wrist, spine) to support diagnostic activities and f…
Learning-based Framework for US Signals Super-resolution
Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè
We propose a novel deep-learning framework for super-resolution ultrasound images and videos in terms of spatial resolution and line reconstruction. We up-sample the acquired low-r…
3D Anatomical Representations and Analysis: an Application to the Spine
Martina Paccini, Giuseppe Patanè, Michela Spagnuolo
This work proposes a framework for the patient-specific characterization of the spine, which integrates information on the tissues with geometric information on the spine morpholog…
A Graph-Based Modelling of Epidemics: Properties, Simulation, and Continuum Limit
Giovanni Naldi, Giuseppe Patane'
This work is concerned with epidemiological models defined on networks, which highlight the prominent role of the social contact network of a given population in the spread of infe…
Evaluating Accuracy and Efficiency of HPC Solvers for Sparse Linear Systems with Applications to PDEs
Antonella Galizia, Simone Cammarasana, Andrea Clematis +1
Partial Differential Equations (PDEs) describe several problems relevant to many fields of applied sciences, and their discrete counterparts typically involve the solution of spars…
VEM and the Mesh
Tommaso Sorgente, Daniele Prada, Daniela Cabiddu +6
In this work we report some results, obtained within the framework of the ERC Project CHANGE, on the impact on the performance of the virtual element method of the shape of the pol…
A Graphical Framework to Study the Correlation between Geometric Design and Simulation
Daniela Cabiddu, Giuseppe Patanè, Michela Spagnuolo
Partial differential equations can be solved on general polygonal and polyhedral meshes, through Polytopal Element Methods (PEMs). Unfortunately, the relation between geometry and…
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images
Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè
Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and non-invasiveness of the acquisition methodol…
Fourier-based and Rational Graph Filters for Spectral Processing
Giuseppe Patanè
Data are represented as graphs in a wide range of applications, such as Computer Vision (e.g., images) and Graphics (e.g., 3D meshes), network analysis (e.g., social networks), and…
Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields
Giuseppe Patanè
The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and el…
Continuous Fuzzy Transform as Integral Operator
Giuseppe Patanè
The Fuzzy transform is ubiquitous in different research fields and applications, such as image and data compression, data mining, knowledge discovery, and the analysis of linguisti…
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè +2
Semantic segmentation methods have achieved outstanding performance thanks to deep learning. Nevertheless, when such algorithms are deployed to new contexts not seen during trainin…
A Unified Definition and Computation of Laplacian Spectral Distances
Giuseppe Patanè
Laplacian spectral kernels and distances (e.g., biharmonic, heat diffusion, wave kernel distances) are easily defined through a filtering of the Laplacian eigenpairs. They play a c…
Laplacian Spectral Basis Functions
G. Patanè
Representing a signal as a linear combination of a set of basis functions is central in a wide range of applications, such as approximation, de-noising, compression, shape correspo…
Benchmark of Polygon Quality Metrics for Polytopal Element Methods
M. Attene, S. Biasotti, S. Bertoluzza +6
Polytopal Element Methods (PEM) allow to solve differential equations on general polygonal and polyhedral grids, potentially offering great flexibility to mesh generation algorithm…