Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ain Neuhaus"'
Autor:
Kiruba Nagaratnam, Ain Neuhaus, James H. Briggs, Gary A. Ford, Zoe V. J. Woodhead, Dibyaa Maharjan, George Harston
Publikováno v:
Frontiers in Neurology, Vol 14 (2024)
IntroductionIn a drip-and-ship model for endovascular thrombectomy (EVT), early identification of large vessel occlusion (LVO) and timely referral to a comprehensive center (CSC) are crucial when patients are admitted to an acute stroke center (ASC).
Externí odkaz:
https://doaj.org/article/1f3807e24a7d4137be6973fa6f8cc893
Autor:
Bence Gunda, Ain Neuhaus, Ildikó Sipos, Rita Stang, Péter Pál Böjti, Tímea Takács, Daniel Bereczki, Balázs Kis, István Szikora, George Harston
Publikováno v:
Cerebrovascular Diseases Extra (2022)
Background Patient selection for reperfusion therapies requires significant expertise in neuroimaging. Increasingly, machine learning based analysis is used for faster and standardized patient selection. However, there is little information on how su
Externí odkaz:
https://doaj.org/article/0618bcc699234c85a9ea9bd5ae3d2164
Autor:
Balázs Kis, Ain Neuhaus, George Harston, Davide Carone, Olivier Joly, Stephen Gerry, Zoltan Chadaide, András Pánczél, Eszter Czifrus, Viktória Csike, Ágnes Surányi, Istvan Szikora, Loránd Eross
Publikováno v:
Stroke. 54
Outcomes following endovascular thrombectomy (EVT) for large vessel occlusion stroke remain variable. Clinical predictors include presenting NIHSS and age, surrogate metrics of stroke severity and pre-stroke brain health, respectively. Imaging biomar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e88ce121ef56c76f7dee100e059c4b42
https://doi.org/10.1161/str.54.suppl_1.tp85
https://doi.org/10.1161/str.54.suppl_1.tp85
Autor:
Bence Gunda, Ain Neuhaus, Ildikó Sipos, Rita Stang, Péter Pál Böjti, Tímea Takács, Dániel Bereczki, Balázs Kis, István Szikora, George Harston
Publikováno v:
Cerebrovascular Diseases Extra (2022)
Background: Patient selection for reperfusion therapies requires significant expertise in neuroimaging. Increasingly, machine learning-based analysis is used for faster and standardized patient selection. However, there is little information on how s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0153e0715689a5f845682a7c798fd22d
https://pubmed.ncbi.nlm.nih.gov/35134802
https://pubmed.ncbi.nlm.nih.gov/35134802
Autor:
Iris Grunwald, Ain Neuhaus
Publikováno v:
International Journal of Stroke. 12:NP7-NP7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59cc63476ff0c9e0c37e2a7f9df57a90
https://doi.org/10.1177/1747493016675982
https://doi.org/10.1177/1747493016675982