Zobrazeno 1 - 10
of 238
pro vyhledávání: '"A. A. Pianykh"'
Autor:
Isabelle, Mark, Lacson, Ronilda, Johnston, Heather, Pianykh, Oleg, Sharma, Amita, Gervais, Debra A., Saini, Sanjay, Khorasani, Ramin, Glazer, Daniel I.
Publikováno v:
In Journal of the American College of Radiology November 2024 21(11):1746-1754
Autor:
Lacson, Ronilda, Pianykh, Oleg, Hartmann, Sean, Johnston, Heather, Daye, Dania, Flores, Efren, Kapoor, Neena, Khorasani, Ramin
Publikováno v:
In Journal of the American College of Radiology July 2024 21(7):1049-1057
Autor:
Hofmanninger, Johannes, Perkonigg, Matthias, Brink, James A., Pianykh, Oleg, Herold, Christian, Langs, Georg
In medical imaging, technical progress or changes in diagnostic procedures lead to a continuous change in image appearance. Scanner manufacturer, reconstruction kernel, dose, other protocol specific settings or administering of contrast agents are ex
Externí odkaz:
http://arxiv.org/abs/2007.02639
Akademický článek
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Autor:
Lang, Min, Cartmell, Samuel, Tabari, Azadeh, Briggs, Daniel, Pianykh, Oleg, Kirsch, John, Cauley, Stephen, Lo, Wei-Ching, Risacher, Seretha, Filho, Augusto Goncalves, Succi, Marc D, Rapalino, Otto, Schaefer, Pamela, Conklin, John, Huang, Susie Y
Publikováno v:
In Academic Radiology February 2023 30(2):341-348
Autor:
Selin Gumustop, Sebastian Gallo-Bernal, Fionnuala McPeake, Daniel Briggs, Michael S. Gee, Oleg S. Pianykh
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract The COVID-19 global pandemic has caused unprecedented worldwide changes in healthcare delivery. While containment and mitigation approaches have been intensified, the progressive increase in the number of cases has overwhelmed health systems
Externí odkaz:
https://doaj.org/article/aed6264a8a48481c88d64807b645fe74
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract As AI models continue to advance into many real-life applications, their ability to maintain reliable quality over time becomes increasingly important. The principal challenge in this task stems from the very nature of current machine learni
Externí odkaz:
https://doaj.org/article/9eb27be98fa0458ca7f0aa35ee0d23c0
Autor:
Machado-Rivas, Fedel, Gallo-Bernal, Sebastian, Briggs, Daniel, Pianykh, Oleg, Gee, Michael S.
Publikováno v:
In Academic Radiology April 2022 29(4):508-513
Autor:
Matthias Perkonigg, Johannes Hofmanninger, Christian J. Herold, James A. Brink, Oleg Pianykh, Helmut Prosch, Georg Langs
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
In clinical practice, the continuous progress of image acquisition technology or diagnostic procedures and evolving imaging protocols hamper the utility of machine learning, as prediction accuracy on new data deteriorates. Here, the authors propose a
Externí odkaz:
https://doaj.org/article/f9fc7f5d825149758843a206d878d863
Publikováno v:
In Journal of the American College of Radiology November 2020 17(11):1460-1468