Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Maria Luisa Lampus"'
Autor:
Marco Penso, Sara Moccia, Enrico G. Caiani, Gloria Caredda, Maria Luisa Lampus, Maria Ludovica Carerj, Mario Babbaro, Mauro Pepi, Mattia Chiesa, Gianluca Pontone
In patients with suspected Coronary Artery Disease (CAD), the severity of stenosis needs to be assessed for precise clinical management. An automatic deep learning-based algorithm to classify coronary stenosis lesions according to the Coronary Artery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc017d11a99147b7b243f53273f1a236
https://hdl.handle.net/11311/1231276
https://hdl.handle.net/11311/1231276
Autor:
Profili S, Maria Luisa Lampus, Jerome R. Lechien, Antonio Matteo Amadu, Mariano Scaglione, Fabio Maglitto, Luigi Angelo Vaira, Serge-Daniel Le Bon, Giacomo De Riu, Giovanni Salzano, Sven Saussez, Paolo Boscolo-Rizzo, Claire Hopkins, Luca Saba
Publikováno v:
International Forum of Allergy & Rhinology
Interstitial pneumonia is an important complication of COVID-19 and a reliable negative prognostic factor. This study aimed to analyze the correlation between olfactory psychophysical scores and severity of lung involvement detected by chest computed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3318fcb4e3e6648e7515d42696a1e60e
https://hdl.handle.net/11368/2992851
https://hdl.handle.net/11368/2992851