Výsledky vyhledávání

Akademický článek

Falls Are Associated With Lower Self-Reported Functional Status in Patients After Stroke

Autor: van der Kooi, Eline, Schiemanck, Sven Kersten, Nollet, Frans, Kwakkel, Gert, Meijer, Jan-Willem, van de Port, Ingrid

Publikováno v: In Archives of Physical Medicine and Rehabilitation December 2017 98(12):2393-2398

Zobrazit plný text záznamu

Added value of A.I. in carotid plaque imaging

Autor: Lavrova, Elizaveta, Kooi, Eline, wooodruff, Henry, Kassem, Mohamed, Lambin, Philippe

Patients with symptomatic carotid artery stenosis are at high risk for recurrent stroke. To date, the decision to perform carotid endarterectomy in patients with a recent cerebrovascular event is mainly based on degree of stenosis of the ipsilateral

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2bf765fc49d8a310818e03d9885d97db

Zobrazit plný text záznamu

Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation

Autor: Camarasa, Robin, Bos, Daniel, Hendrikse, Jeroen, Nederkoorn, Paul, Kooi, Eline, van der Lugt, Aad, de Bruijne, Marleen, Sudre, Carole H., Fehri, Hamid, Arbel, Tal, Baumgartner, Christian F., Dalca, Adrian, Tanno, Ryutaro, Van Leemput, Koen, Wells, William M., Sotiras, Aristeidis, Papiez, Bartlomiej, Ferrante, Enzo, Parisot, Sarah

Publikováno v: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis-2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings, 32-41
STARTPAGE=32;ENDPAGE=41;TITLE=Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis-2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis-2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings, 12443 LNCS, 32-41
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis ISBN: 9783030603649
UNSURE/GRAIL@MICCAI
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis. UNSURE 2020, GRAIL 2020, 32-41
STARTPAGE=32;ENDPAGE=41;TITLE=Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis. UNSURE 2020, GRAIL 2020

Over the past decade, deep learning has become the gold standard for automatic medical image segmentation. Every segmentation task has an underlying uncertainty due to image resolution, annotation protocol, etc. Therefore, a number of methods and met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dc51a24ce3ea7ddf8c22f80e9b50407
https://doi.org/10.1007/978-3-030-60365-6_4

Zobrazit plný text záznamu