Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Geoffrey D, Rubin"'
Autor:
Vincent M. D’Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelv
Externí odkaz:
https://doaj.org/article/6356b62f150644558df51af25bf9eecd
Autor:
Ricardo C. Cury, Jonathon Leipsic, Suhny Abbara, Stephan Achenbach, Daniel Berman, Marcio Bittencourt, Matthew Budoff, Kavitha Chinnaiyan, Andrew D. Choi, Brian Ghoshhajra, Jill Jacobs, Lynne Koweek, John Lesser, Christopher Maroules, Geoffrey D. Rubin, Frank J. Rybicki, Leslee J. Shaw, Michelle C. Williams, Eric Williamson, Charles S. White, Todd C. Villines, Ron Blankstein
Publikováno v:
Journal of Cardiovascular Computed Tomography. 16:536-557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0821e91bc8e44a800900d7e37978da95
https://doi.org/10.1016/j.jcct.2022.07.002
https://doi.org/10.1016/j.jcct.2022.07.002
Autor:
Ricardo C. Cury, Jonathon Leipsic, Suhny Abbara, Stephan Achenbach, Daniel Berman, Marcio Bittencourt, Matthew Budoff, Kavitha Chinnaiyan, Andrew D. Choi, Brian Ghoshhajra, Jill Jacobs, Lynne Koweek, John Lesser, Christopher Maroules, Geoffrey D. Rubin, Frank J. Rybicki, Leslee J. Shaw, Michelle C. Williams, Eric Williamson, Charles S. White, Todd C. Villines, Ron Blankstein
Publikováno v:
Radiology: Cardiothoracic Imaging. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad76f14543f3c3617452656ba9907dc0
https://doi.org/10.1148/ryct.220183
https://doi.org/10.1148/ryct.220183
Autor:
Harrison X. Bai, Brent P. Little, Michael H. Chung, Geoffrey D. Rubin, Linda B. Haramati, Adam Bernheim, Jeffrey P. Kanne, David F. Kallmes, Nicola Sverzellati
Publikováno v:
Radiology
Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and sometimes fatal disease, with mortality most frequently being the result of acute lung injury. The role of imaging has evolved during the pandemic, with CT initially bein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61ad652c1fc5c521405fbc101fb707d8
https://doi.org/10.1148/radiol.2021204522
https://doi.org/10.1148/radiol.2021204522
Autor:
David A. Lynch, Hans-Ulrich Kauczor, Jay H. Ryu, Cornelia Schaefer-Prokop, Tomás Franquet, Geoffrey D. Rubin, Kevin K. Brown, Takeshi Johkoh, Yoshikazu Inoue, Mizuki Nishino, Suhail Raoof, Hiroto Hatabu, Christopher J. Ryerson, Alexander A. Bankier, Charles A. Powell, Andrew G. Nicholson, Ho Yun Lee, Luca Richeldi, Johny Verschakelen, Kyung Soo Lee, William D. Travis, Jin Mo Goo
Publikováno v:
Chest. 159:1107-1125
Use of molecular targeting agents and immune checkpoint inhibitors (ICIs) has increased the frequency and broadened the spectrum of lung toxicity, particularly in patients with cancer. The diagnosis of drug-related pneumonitis (DRP) is usually achiev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3b7360603b9d27173ce9548e5765253
https://doi.org/10.1016/j.chest.2020.11.027
https://doi.org/10.1016/j.chest.2020.11.027
Autor:
Ann N. Leung, Talissa A. Altes, Peter J. Mazzone, Annalisa Volpi, Marc Humbert, Sujal R. Desai, Hans-Ulrich Kauczor, Jonathan G. Goldin, Ian B.K. Martin, Christopher J. Ryerson, Jin Mo Goo, Suhail Raoof, Neil W. Schluger, Noriyuki Tomiyama, Deverick J. Anderson, Luca Richeldi, Martine Remy-Jardin, Linda B. Haramati, Yoshikazu Inoue, Christina S. Kong, Andrew Bush, Jeffrey P. Kanne, Jae-Joon Yim, Mathias Prokop, Nicola Sverzellati, Fengming Luo, Athol U. Wells, Geoffrey D. Rubin, Cornelia M. Schaefer-Prokop
Publikováno v:
Chest
With more than 900,000 confirmed cases worldwide and nearly 50,000 deaths during the first 3 months of 2020, the coronavirus disease 2019 (COVID-19) pandemic has emerged as an unprecedented health care crisis. The spread of COVID-19 has been heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a5c78bad3a64fc13d4603d360d12ff4
https://doi.org/10.1016/j.chest.2020.04.003
https://doi.org/10.1016/j.chest.2020.04.003
Despite the potential of weakly supervised learning to automatically annotate massive amounts of data, little is known about its limitations for use in computer-aided diagnosis (CAD). For CT specifically, interpreting the performance of CAD algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a50cf9ee2189b5ca9f59eb5ab84e3391
http://arxiv.org/abs/2202.11709
http://arxiv.org/abs/2202.11709
Publikováno v:
Journal of the American College of Radiology. 16:1663-1668
The association between access to CT facilities for lung cancer screening and population characteristics is understudied. We aimed to determine the relationship between census tract-level socioeconomic characteristics (SEC) and driving distance to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b256d455aa78efbb56e03e7774f03db8
https://doi.org/10.1016/j.jacr.2019.06.020
https://doi.org/10.1016/j.jacr.2019.06.020
Autor:
Tina D. Tailor, Geoffrey D. Rubin, Kingshuk Roy Choudhury, Jared D. Christensen, Julie Ann Sosa, Betty C. Tong
Publikováno v:
Journal of the American College of Radiology. 16:15-23
Purpose Spatial access to health care resources is a requisite for utilization. Our purpose was to determine, at a census tract level, the geographic distribution of US smokers and their driving distance to an ACR-accredited CT facility. Methods The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee1beb8a29f990f1b90a68058b35324a
https://doi.org/10.1016/j.jacr.2018.07.007
https://doi.org/10.1016/j.jacr.2018.07.007
Autor:
Vincent M. D’Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
Publikováno v:
BMC medical informatics and decision making. 22(1)
Background There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cda2629d1c91ceaff1317775090b1c6
https://pubmed.ncbi.nlm.nih.gov/35428335
https://pubmed.ncbi.nlm.nih.gov/35428335