Zobrazeno 1 - 10
of 64
pro vyhledávání: '"A Loffreno"'
Autor:
Muscogiuri, Giuseppe, Chiesa, Mattia, Trotta, Michela, Gatti, Marco, Palmisano, Vitanio, Dell’Aversana, Serena, Baessato, Francesca, Cavaliere, Annachiara, Cicala, Gloria, Loffreno, Antonella, Rizzon, Giulia, Guglielmo, Marco, Baggiano, Andrea, Fusini, Laura, Saba, Luca, Andreini, Daniele, Pepi, Mauro, Rabbat, Mark G., Guaricci, Andrea I., De Cecco, Carlo N., Colombo, Gualtiero, Pontone, Gianluca
Publikováno v:
In Atherosclerosis February 2020 294:25-32
Autor:
M Centola, C De Carlini, D Saltafossi, N Mollichelli, C Moro, G Provenzale, A Loffreno, G Iacuitti, B Giulia, V Russo, R Rogagka, M Spina, F Achilli
Publikováno v:
European Heart Journal Supplements. 25:D93-D94
A 21–years old male patient presented to the emergency department complaining chest pain in the night. There was no family history of cardiovascular events; he did not have any known risk factors and denied drug abuse. Pathological history was posi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98f3979c036342d64f5c8b16af986e12
https://doi.org/10.1093/eurheartjsupp/suad111.219
https://doi.org/10.1093/eurheartjsupp/suad111.219
Autor:
Ludovica M L Danza, Edoardo Conte, Saima Mushtaq, Giuseppe Muscogiuri, Andrea Baggiano, Manuela Muratori, Marco Zanobini, Marco Guglielmo, Andrea Igoren Guaricci, Alberico Del Torto, Gloria Tamborini, Paola Gripari, Giulia Rizzon, Gianluca Pontone, Francesco Alamanni, Giorgia Bonalumi, Francesca Baessato, Mark G. Rabbat, Laura Fusini, Mauro Pepi, Giacomo M Viani, Daniele Andreini, Antonella Loffreno, Elisabetta Tonet, Annachiara Cavaliere
Publikováno v:
European Radiology. 31:1100-1109
Objectives: T1 mapping (T1-map) and cardiac magnetic resonance feature tracking (CMR-FT) techniques have been introduced for the early detection of interstitial myocardial fibrosis and deformation abnormalities. We sought to demonstrate that T1-map a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11b8770d125970bda75c2fd2634dc2dd
https://doi.org/10.1007/s00330-020-07140-w
https://doi.org/10.1007/s00330-020-07140-w
Autor:
Gualtiero I. Colombo, Giuseppe Muscogiuri, Marco Guglielmo, Vitanio Palmisano, Mauro Pepi, Giulia Rizzon, Andrea Igoren Guaricci, Annachiara Cavaliere, Andrea Baggiano, Gloria Cicala, Luca Saba, Carlo N. De Cecco, Antonella Loffreno, Mattia Chiesa, Gianluca Pontone, Laura Fusini, Michela Trotta, Daniele Andreini, Mark G. Rabbat, Marco Gatti, Francesca Baessato, Serena Dell'Aversana
Publikováno v:
Atherosclerosis. 294:25-32
Background and aims Artificial intelligence (AI) is increasing its role in diagnosis of patients with suspicious coronary artery disease. The aim of this manuscript is to develop a deep convolutional neural network (CNN) to classify coronary computed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46605a55a899183827cafa5e2ba7d9aa
https://doi.org/10.1016/j.atherosclerosis.2019.12.001
https://doi.org/10.1016/j.atherosclerosis.2019.12.001
Autor:
A Corticelli, M Centola, M Spina, M Spinelli, C De Carlini, C Moro, A Loffreno, D Ruggiero, G Provenzale, L Aurino, G Russo, F Achilli
Publikováno v:
European Heart Journal Supplements. 25:D134-D134
A 55–years–old patient presents to emergency room with extensive anterior STEMI, complicated by acute pulmonary edema. The ECG showed sinusal tachycardia, Q waves in V1–V3, ST elevation >2mm V2–V6. The echocardiogram showed akinesia of the ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8185508485804251faa3dcc2e52c42ca
https://doi.org/10.1093/eurheartjsupp/suad111.317
https://doi.org/10.1093/eurheartjsupp/suad111.317
Autor:
Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Publikováno v:
Day 3 Wed, March 23, 2022.
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to tack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1134b8f6554cc49b8dc4f0c442ea57
https://doi.org/10.2118/200110-ms
https://doi.org/10.2118/200110-ms
Autor:
Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Publikováno v:
Day 3 Wed, March 23, 2022.
Energy companies are latecomers to digitization with respect to other business, but new technologies like Big Data, Cloud infrastructure and Artificial Intelligence offer great opportunities. Here we present an integrated approach to the digitalizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::321353913b0ae95af61b830bd53ea6f4
https://doi.org/10.2118/200149-ms
https://doi.org/10.2118/200149-ms
Autor:
Giulia Rizzon, Franco Fabbiocchi, Marco Guglielmo, Edoardo Conte, Saima Mushtaq, Daniela Trabattoni, Margherita Soldi, Gianluca Pontone, Alberto Formenti, Chiara Martini, Antonio L. Bartorelli, Giuseppe Muscogiuri, Nicola Gaibazzi, Laura Fusini, Mauro Pepi, Alberico Del Torto, Fabio Fazzari, Andrea Baggiano, Vitanio Palmisano, Elisabetta Tonet, Gloria Cicala, Enrico Fraschini, Daniele Andreini, Emilio Assanelli, Mark G. Rabbat, Antonella Loffreno, Francesca Ricci, Alexia Rossi, Andrea Annoni, Patrizia Vivona, Maria L Danza, Andrea Igoren Guaricci, Annachiara Cavaliere, Piero Montorsi, Maria Elisabetta Mancini, Giacomo M Viani, Francesca Baessato
Publikováno v:
Journal of Clinical Medicine
Volume 9
Issue 7
Journal of Clinical Medicine, Vol 9, Iss 2147, p 2147 (2020)
Volume 9
Issue 7
Journal of Clinical Medicine, Vol 9, Iss 2147, p 2147 (2020)
Stress computed tomography perfusion (Stress-CTP) and computed tomography-derived fractional flow reserve (FFRCT) are functional techniques that can be added to coronary computed tomography angiography (cCTA) to improve the management of patients wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af86581bb344bee8830e749e3adbbb91
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