Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Elena Garuccio"'
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043101 (2023)
Systems with lattice geometry can be renormalized exploiting their coordinates in metric space, which naturally define the coarse-grained nodes. By contrast, complex networks defy the usual techniques, due to their small-world character and lack of e
Externí odkaz:
https://doaj.org/article/9a43c3442b3d47518b8099f1bf22a640
Autor:
Giuliana Loizzo, Loreto Gesualdo, Annarita Fanizzi, Nicola Amoroso, Elena Garuccio, Roberto Corciulo, Deni Aldo Procaccini, Roberto Bellotti, Lucia Vernò, Sabina Tangaro
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2016 (2016)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Monitoring of dialysis sessions is crucial as different stress factors can yield suffering or critical situations. Specialized personnel is usually required for the administration of this medical treatment; nevertheless, subjects whose clinical statu
Autor:
Francesco Sensi, Roberto Bellotti, Andrea Chincarini, Andrea Tateo, Rosangela Errico, Nicola Amoroso, Sabina Tangaro, Stefania Bruno, Elena Garuccio
Publikováno v:
Physics in medicine and biology. 60(22)
In this study we present a novel fully automated Hippocampal Unified Multi-Atlas-Networks (HUMAN) algorithm for the segmentation of the hippocampus in structural magnetic resonance imaging. In multi-atlas approaches atlas selection is of crucial impo
Autor:
Sabina Tangaro, Rosangela Errico, Nicola Amoroso, Roberto Bellotti, Andrea Tateo, Elena Garuccio, Francesco Sensi, Anna Monda
Publikováno v:
New Trends in Image Analysis and Processing--ICIAP 2015 Workshops ISBN: 9783319232218
ICIAP Workshops
ICIAP Workshops
This study presents a fully automated algorithm for the segmentation of the hippocampus in structural Magnetic Resonance Imaging (MRI) and its deployment as a service on an open cloud infrastructure. Optimal atlases strategies for multi-atlas learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85456a0deeae75a48a2262e1fce0b9fb
https://doi.org/10.1007/978-3-319-23222-5_24
https://doi.org/10.1007/978-3-319-23222-5_24
In this paper we apply techniques of complex network analysis to data sources representing public funding programs and discuss the importance of the considered indicators for program evaluation. Starting from the Open Data repository of the 2007-2013
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb46234c383dcd0eac2d89649f98d8b9