Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Niels Vaever Hartvig"'
Publikováno v:
Journal of Diabetes Science and Technology. :193229682211041
Background: Adherence to basal insulin injections and the effects of missed basal insulin injections in adults with type 1 diabetes (T1D) were investigated using data from continuous glucose monitoring (CGM) and smart insulin pen devices in a real-wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3f8a8be7c68debd95c50ecebcea1be4
https://doi.org/10.1177/19322968221104142
https://doi.org/10.1177/19322968221104142
Autor:
Maja Skytte Jensen, Jannik Godt, Niels Vaever Hartvig, Theis Gondolf, Henrik Lund-Andersen, Michael Larsen, Nicolai B. Larsen
Publikováno v:
Current Eye Research. 32:331-336
To evaluate fundus photographic image analysis combining automated detection of red lesions, bright lesions, and image quality as a means of identifying treatment-requiring diabetic retinopathy in a screening population of diabetic patients.This was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15529b8f8b4f123c37606a6e09c3e787
https://doi.org/10.1080/02713680701215587
https://doi.org/10.1080/02713680701215587
Autor:
Michael Larsen, Anja Bech Hansen, Niels Vaever Hartvig, Maja Skytte Jensen, Knut Borch-Johnsen, Henrik Lund-Andersen
Publikováno v:
Acta Ophthalmologica Scandinavica. 82:666-672
Purpose: To investigate the use of automated image analysis for the detection of diabetic retinopathy (DR) in fundus photographs captured with and without pharmacological pupil dilation using a digital non-mydriatic camera. Methods: A total of 83 pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c56db41e879185823ef87c859904d78f
https://doi.org/10.1111/j.1600-0420.2004.00350.x
https://doi.org/10.1111/j.1600-0420.2004.00350.x
Autor:
Niels Vaever Hartvig
Publikováno v:
Scandinavian Journal of Statistics. 29:333-353
In functional magnetic resonance imaging, spatial activation patterns are commonly estimated using a non-parametric smoothing approach. Significant peaks or clusters in the smoothed image are subsequently identified by testing the null hypothesis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9750ea6f6342754bb20cb8a1804a3fd2
https://doi.org/10.1111/1467-9469.00294
https://doi.org/10.1111/1467-9469.00294
Publikováno v:
Hum Brain Mapp
Recently, Everitt and Bullmore [1999] proposed a mixture model for a test statistic for activation in fMRI data. The distribution of the statistic was divided into two components; one for nonactivated voxels and one for activated voxels. In this fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ab8ffd535eda314cf4ab9ea8c27f6f0
https://pubmed.ncbi.nlm.nih.gov/11144753
https://pubmed.ncbi.nlm.nih.gov/11144753
Publikováno v:
Hartvig, N V, Jensen, J L & Pedersen, J 2001, ' A class of risk neutral densities with heavy tails ', Finance and Stochastics, vol. 5, no. 1, pp. 115-128 . https://doi.org/10.1007/s007800000025
From observed bid and ask prices of European call and put options we estimate the risk neutral density of a stock at some future time $t>0$ . We restrict attention to a class of densities with heavy tails and use a Bayesian formulation in order to st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efbff9addf5d6cf97e6672d1bfc8e661
https://pure.au.dk/portal/da/publications/a-class-of-risk-neutral-densities-with-heavy-tails(f1b8f900-bdc5-11db-bee9-02004c4f4f50).html
https://pure.au.dk/portal/da/publications/a-class-of-risk-neutral-densities-with-heavy-tails(f1b8f900-bdc5-11db-bee9-02004c4f4f50).html
