Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Claudio Berzovini"'
Autor:
Elena Tremoli, Annalisa Pasquini, Fabio Fazzari, Marco Guglielmo, Giancarlo Marenzi, Giuseppe Muscogiuri, Andrea Baggiano, Claudio Berzovini, Nicola Cosentino, Edoardo Conte, Saima Mushtaq, Mauro Pepi, Daniele Andreini, Mark G. Rabbat, Cristina Banfi, Gianluca Pontone, Laura Fusini, Antonio L. Bartorelli, Andrea Igoren Guaricci
Publikováno v:
JACC: Cardiovascular Imaging. 12:1007-1017
Objectives This study aimed to evaluate the correlation between different haptoglobin (Hp) phenotypes and myocardial infarction characteristics as detected by cardiac magnetic resonance (CMR) in consecutive patients after ST-segment elevation myocard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::321461bf6230b491f13f7c7637441ad4
https://doi.org/10.1016/j.jcmg.2018.03.004
https://doi.org/10.1016/j.jcmg.2018.03.004
Autor:
Giancarlo Marra, Francesco Silvio Gentile, Luca Molinaro, Riccardo Faletti, Paolo Gontero, Jacopo Giglio, Mauro Papotti, Paolo Fonio, Giorgio Calleris, Marco Gatti, Francesca Misischi, Claudio Berzovini, Laura Bergamasco
Publikováno v:
Abdominal Radiology. 44:1883-1893
To study the detection of clinically significant prostate cancer (PCa) by readers with different experience, comparing performance with biparametric magnetic resonance imaging (bmMRI) and with the reference multiparametric (mpMRI). Retrospective anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66a01d288d0d0880215645146f8ab448
https://doi.org/10.1007/s00261-019-01934-3
https://doi.org/10.1007/s00261-019-01934-3
Autor:
Marco Guglielmo, Fabio Fazzari, Piero Montorsi, Gianluca Pontone, Andrea Igoren Guaricci, Daniela Trabattoni, Claudio Berzovini, Stefano De Martini, Daniele Andreini, Cristina Ferrari, Antonio L. Bartorelli, Franco Fabbiocchi, Giuseppe Muscogiuri, Alessandro Lualdi, Mauro Pepi, Luca Grancini, Stefano Galli, Andrea Baggiano, Mark G. Rabbat, Giovanni Teruzzi, Annalisa Pasquini, Giuseppe Calligaris, Edoardo Conte, Paolo Ravagnani, Saima Mushtaq
Publikováno v:
JACC: Cardiovascular Imaging. 12:338-349
Objectives The goal of this study was to evaluate the diagnostic accuracy of stress computed tomography myocardial perfusion (CTP) for the detection of functionally significant coronary artery disease (CAD) by using invasive coronary angiography (ICA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6d76ffdf013e617f289dc2d370bcabf
https://doi.org/10.1016/j.jcmg.2017.10.025
https://doi.org/10.1016/j.jcmg.2017.10.025
Publikováno v:
International Journal of Environmental Research and Public Health, Vol 17, Iss 6933, p 6933 (2020)
International Journal of Environmental Research and Public Health
Volume 17
Issue 18
International Journal of Environmental Research and Public Health
Volume 17
Issue 18
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa3895a9774480b0261223730798d9fa
https://www.mdpi.com/1660-4601/17/18/6933
https://www.mdpi.com/1660-4601/17/18/6933
Autor:
Franco Fabbiocchi, Andrea Baggiano, Antonio L. Bartorelli, Mark G. Rabbat, Paolo Ciancarella, Giovanni Teruzzi, Piero Montorsi, Gianluca Pontone, Edoardo Conte, Fabio Fazzari, Paolo Ravagnani, Saima Mushtaq, Andrea Igoren Guaricci, Luca Grancini, Claudio Berzovini, Giuseppe Calligaris, Annalisa Pasquini, Laura Fusini, Daniele Andreini, Cristina Ferrari, Marco Guglielmo, Stefano De Martini, Alessandro Lualdi, Giuseppe Muscogiuri, Margherita Soldi, Stefano Galli, Daniela Trabattoni, Mauro Pepi
Aims To compare the diagnostic accuracy of stress computed tomography myocardial perfusion (CTP) for the detection of significant coronary artery disease with visual approach vs. quantitative analysis with transmural perfusion ratio (TPR) in consecut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9f7f0d360df9fd08d99c78807e862f
http://hdl.handle.net/10281/378121
http://hdl.handle.net/10281/378121
Autor:
Gianluca, Pontone, Daniele, Andreini, Andrea I, Guaricci, Marco, Guglielmo, Andrea, Baggiano, Giuseppe, Muscogiuri, Laura, Fusini, Fabio, Fazzari, Claudio, Berzovini, Annalisa, Pasquini, Saima, Mushtaq, Edoardo, Conte, Nicola, Cosentino, Mark G, Rabbat, Giancarlo, Marenzi, Antonio L, Bartorelli, Mauro, Pepi, Elena, Tremoli, Cristina, Banfi
Publikováno v:
JACC. Cardiovascular imaging. 12(6)
This study aimed to evaluate the correlation between different haptoglobin (Hp) phenotypes and myocardial infarction characteristics as detected by cardiac magnetic resonance (CMR) in consecutive patients after ST-segment elevation myocardial infarct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2a5748b23247de35c3cf92adc25137f0
https://pubmed.ncbi.nlm.nih.gov/29680354
https://pubmed.ncbi.nlm.nih.gov/29680354
Autor:
Laura Bergamasco, Isabella Castellano, Manuela Durando, Giovanni Gandini, Riccardo Bussone, Davide Bosco, Claudio Berzovini, Giovanna Mariscotti, Pier Paolo Campanino, Paolo Fonio, Nehmat Houssami, Ada Ala, Anna Sapino, M. Fasciano, F Esposito
Publikováno v:
Clinical Radiology
To identify clinically occult nipple-areola complex (NAC) involvement using preoperative magnetic resonance imaging (MRI), to inform selection of patients eligible for nipple-sparing mastectomy (NSM) or skin-sparing mastectomy (SSM).This was a retros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be124054b49ab9d3bef8bd0d8062bf1e
https://pubmed.ncbi.nlm.nih.gov/29678274
https://pubmed.ncbi.nlm.nih.gov/29678274
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Image Analysis and Processing – ICIAP 2022
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Lecture Notes in Computer Science-Image Analysis and Processing – ICIAP 2022
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Thanks to the rapid increase in computational capability during the latest years, traditional and more explainable methods have been gradually replaced by more complex deep-learning-based approaches, which have in fact reached new state-of-the-art re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d960410034e55d21d2dba2addb226b6