Zobrazeno 1 - 10
of 561
pro vyhledávání: '"E. De Bernardi"'
Publikováno v:
Il Foro Italiano, 1905 Jan 01. 30, 411/412-415/416.
Externí odkaz:
https://www.jstor.org/stable/23107551
Autor:
Gianzana, S.
Publikováno v:
Il Foro Italiano, 1883 Jan 01. 8, 167/168-175/176.
Externí odkaz:
https://www.jstor.org/stable/23090191
Publikováno v:
EAI Endorsed Transactions on Internet of Things, Vol 3, Iss 9 (2017)
MEP (Maps for Easy Paths) is a project for the enrichment of geographical maps with information about accessibility of urban pedestrian pathways, targeted at people with mobility problems. In this paper, we describe the tools developed to collect dat
Externí odkaz:
https://doaj.org/article/cffa13936283458ab03b021e582bd519
Akademický článek
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Autor:
McMullen, Jeffery S.1 (AUTHOR) mcmullej@indiana.edu
Publikováno v:
Academy of Management Review. Oct2024, Vol. 49 Issue 4, p746-774. 29p.
Autor:
Tommaso Grassi, Federica Dell'Orto, Mariachiara Paderno, Leonor Bezerra Guerra, E. De Bernardi, A Buda, Sonia Magni, ML Di Meo, Cinzia Crivellaro, G Di Martino
Publikováno v:
E-Poster viewings.
Objectives We evaluated the role of PET/CT and sentinel lymph node (SLN) biopsy in women with early stage high-risk endometrial cancer (G2 and deep myometrial invasion, G3, serous, clear cell carcinoma or carcinosarcoma). Methods Between November 200
Akademický článek
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Publikováno v:
Medical Physics. 43:710-726
Purpose: An innovative strategy to improve the sensitivity of positron emission tomography (PET) based treatment verification in ion beam radiotherapy is proposed. Methods: Low counting statistics PET images acquired during or shortly after the treat
Publikováno v:
Mobile Solutions and Their Usefulness in Everyday Life ISBN: 9783319934907
Maps for Easy Paths (MEP) project aims to improve accessibility of our cities, by collecting data of urban barriers and accessible paths using mobile devices. Its focus is on users with motor impairments; however, the application design takes into ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99257f82366e24486e7e4f21bd3202a0
https://doi.org/10.1007/978-3-319-93491-4_6
https://doi.org/10.1007/978-3-319-93491-4_6
Autor:
Valentino Bettinardi, Luca Presotto, Giovanni Mauro Cattaneo, M.L. Belli, Claudio Fiorino, Sara Broggi, E. De Bernardi
Purpose: The analysis of PET images by textural features, also known as radiomics, shows promising results in tumor characterization. However, radiomic metrics (RMs) analysis is currently not standardized and the impact of the whole processing chain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f06b5b7b56f889c6885fd50d0daf0575
http://hdl.handle.net/10281/217211
http://hdl.handle.net/10281/217211