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6篇 您的检索式:作者名="ERIC PETIT"
    题名 作者 年代 出处 被引量
1Learning iteratively a classifier with the Bayesian Model Averaging Principle 显示文摘RUDY SICARD THIERRY ARTIERES ERIC PETIT 2008Pattern Recognition2008,41,3:1
2Synthesis and evaluation of starch-based polymers as potential dispersants in cement pastes and self leveling compounds 显示文摘LUCIE Cr6py PETIT Jean-Yves WIRQU1N Eric 2014Cem Concr Comp2014,45,:1
3Rheo-logical Characterization of a Thermally Unstable Bioplas-tic in Injection Molding Conditions显示文摘Eric Leroy Isabelle Petit Jean Luc Audic 2012Polymer Degrada-tion and Stability2012,97,10:1
4Unsupervised clustering of wildlife necropsy data for syndromic surveillance 显示文摘Eva Warns -Petit Eric Morignat Marc Artois et al 2010Bmc Veterinary Research2010,6,25:1
5Synthesis and evaluation of starch-based polymers as potential dispersants in cement pastes and self leveling compounds 显示文摘Lucie Crepy Jean-Yves Petit Eric Wirquin 2014Cement and Concrete Composites2014,45,:1
6Longitudinal analysis of quantitative biomarkers using projection-resolved OCT angiography in retinal vein occlusion显示文摘Background:To evaluate a fully automated vascular density(VD),skeletal density(SD)and fractal dimension(FD)method for the longitudinal analysis of retinal vein occlusion(RVO)eyes using projection-resolved optical coherence tomography angiography(OCTA)images and to evaluate the association between these quantitative variables and the visual prognosis in RVO eyes.Methods:Retrospective longitudinal observational case series.Patients presenting with RVO to Creteil University Eye Clinic between October 2014 and December 2018 and healthy controls were retrospectively evaluated.Group 1 consisted of central RVO(CRVO)eyes,group 2 consisted of eyes with branch RVO(BRVO)and group 3 of healthy control eyes.OCTA acquisitions(AngioVue RTVue XR Avanti,Optovue,Inc.,Freemont,CA)were performed at baseline and last follow up visit.VD,SD,and FD analysis were computed on OCTA superficial and deep vascular complex(SVC,DVC)images at baseline and final follow up using an automated algorithm.Logistic regression was performed to find if and which variable(VD,SD,FD)was predictive for the visual outcome.Results:Forty-one eyes,of which 21 consecutive eyes of 20 RVO patients(13 CRVO in group 1,8 BRVO in group 2),and 20 eyes of 20 healthy controls were included.At the level of SVC,VD and FD were significantly lower in RVO eyes compared to controls(P<0.0001 and P=0.0008 respectively).Best-corrected visual acuity(BCVA)at last follow-up visit was associated with baseline VD(P=0.013),FD(P=0.016),and SD(P=0.01)at the level of the SVC,as well as with baseline FD at the DVC level(P=0.046).Conclusions:Baseline VD,SD,and FD are associated with the visual outcome in RVO eyes.These parameters seem valuable biomarkers and may help improve the evaluation and management of RVO patients.Alexandra Miere Donato Colantuono Camille Jung Agnès Glacet-Bernard Severine Becuwe Eric Petit Eric Souied 2021Annals of Eye Science2021,,2:0
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