Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lucas De Vries"'
Autor:
Henk van Voorst, Johanna Pitkänen, Laura van Poppel, Lucas de Vries, Mahsa Mojtahedi, Laura Martou, Bart J. Emmer, Yvo B.W.E.M. Roos, Robert van Oostenbrugge, Alida A Postma, Henk A. Marquering, Charles B.L.M. Majoie, Sami Curtze, Susanna Melkas, Paul Bentley, Matthan W.A. Caan
BackgroundIt remains unclear if deep-learning-based white matter lesion (DL-WML) volume can predict outcome after ischemic stroke.PurposeWe aimed to develop, validate, and evaluate DL-WML volume in NCCT as a risk factor and IVT effect modifier compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b90de8ee3e7c62de5e8b07fc3da1223f
https://doi.org/10.1101/2023.03.20.23287467
https://doi.org/10.1101/2023.03.20.23287467
Publikováno v:
de Vries, L, Emmer, B J, Majoie, C B L M, Marquering, H A & Gavves, E 2023, ' PerfU-Net : Baseline infarct estimation from CT perfusion source data for acute ischemic stroke ', Medical Image Analysis, vol. 85, 102749 . https://doi.org/10.1016/j.media.2023.102749
Medical Image Analysis, 85:102749. Elsevier
Medical Image Analysis, 85:102749. Elsevier
CT perfusion imaging is commonly used for infarct core quantification in acute ischemic stroke patients. The outcomes and perfusion maps of CT perfusion software, however, show many discrepancies between vendors. We aim to perform infarct core segmen
Publikováno v:
Lan, G, De Vries, L & Wang, S 2019, Evolving Efficient Deep Neural Networks for Real-time Object Recognition . in 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019) ., 9002863, Institute of Electrical and Electronics Engineers Inc., pp. 2571-2578, 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, 6/12/19 . https://doi.org/10.1109/SSCI44817.2019.9002863
SSCI
2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), 2571-2578
STARTPAGE=2571;ENDPAGE=2578;TITLE=2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
SSCI
2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), 2571-2578
STARTPAGE=2571;ENDPAGE=2578;TITLE=2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
While Deep Neural Networks (DNNs) achieve state-of-the-art performance in many fields, e.g., object recognition, they rely on deep networks with millions or even billions of parameters. Accelerating DNNs by reducing the parameters of DNNs is crucial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64f80f158ad64e640bb14b0c3a5e5938
https://research.vu.nl/en/publications/e455dda3-1ee6-4300-b97f-36e6a3e591d3
https://research.vu.nl/en/publications/e455dda3-1ee6-4300-b97f-36e6a3e591d3
Publikováno v:
American Journal of Obstetrics and Gynecology. 119:1069-1072
One hundred and six 24 hour urine samples were obtained from 6 women during the antepartum and postpartum periods. In 96 of the specimens in which the total urinary creatinine was 800 mg. or greater, total mucopolysaccharide (MPS) excretion was deter
Publikováno v:
American Journal of Obstetrics and Gynecology. 120:407-410
The mucopolysaccharide (MPS)/creatinine ratio was determined from ninety-seven 24 hour urinary collections from 37 women with a clinical diagnosis of pelvic infection. Of 80 determinations obtained in gynecologic patients during the course of treatme
Publikováno v:
Journal of Experimental Zoology. 144:89-103
Publikováno v:
American Heart Journal. 73:221-226
Serum anti-heart hemagglutinins occurred in 29 per cent of patients with myocardial infarction, as compared to 6 per cent of normal control subjects, had a high prevalence in patients with rheumatic heart disease, occurred in 2 of 5 with a cardiomyop
Autor:
Lucas de Vries, Francis E. Payne
Publikováno v:
Science (New York, N.Y.). 158(3800)