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11篇 您的检索式:作者名="Thomas Burger"
    题名 作者 年代 出处 被引量
1Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping显示文摘Continuous global-scale mapping of human settlements in the service of international agreements calls for massive volume of multi-source,multi-temporal,and multi-scale earth observation data.In this paper,the latest developments in terms of processing big earth observation data for the purpose of improving the Global Human Settlement Layer(GHSL)data are presented.Two experiments with Sentinel-1 and Landsat data collections were run leveraging on the Joint Research Centre Earth Observation Data and Processing Platform.A comparative analysis of the results of built-up areas extraction from different remote sensing data and processing workflows shows how the information production supported by data-intensive computing infrastructure for optimization and multiple testing can improve the output information reliability and consistency within the GHSL scope.The paper presents the processing workflows and the results of the two main experiments,giving insights into the enhanced mapping capabilities gained by analyzing Sentinel-1 and Landsat data-sets,and the lessons learnt in terms of handling and processing big earth observation data.Christina Corbane Martino Pesaresi Panagiotis Politis Vasileios Syrris Aneta JFlorczyk Pierre Soille Luca Maffenini Armin Burger Veselin Vasilev Dario Rodriguez Filip Sabo Lewis Dijkstra Thomas Kemper 2017Big Earth Data2017,1,1:3
2动态^(18)F-FDG PET定量分析用于骨病变鉴别诊断显示文摘目的 评价18F 脱氧葡萄糖 (FDG)PET在骨骼病变中的诊断价值。方法 研究对象为40例原发性骨骼病变患者。所有患者在注射示踪剂后立即开始动态PET采集 ,持续 6 0min。对动态PET图像进行半定量分析 ,分别计算平均和最大标准摄取值 (SUVaver和SUVmax) ,病灶SUV/肌肉SUV比值 (T/M) ,病灶 6 0minSUV/ 30minSUV比值 (SUVaver 60 /3 0min和SUVmax 60 /3 0min)等。采用Patlak作图分析法对动态图像数据进行拟合计算 ,得出摄入常数 (Ki) ,计算FDG代谢率 (MRFDG)。根据接受器工作特性曲线 (ROC)确定各定量指标的诊断阈值 ,并比较其鉴别良恶性病变的灵敏度和特异性。结果 经病理检查证实恶性病变 2 1例 ,良性病变 19例。恶性病变的MRFDG和SUV值高于良性病变 ,但各种指标的数值分布均存在交叉重叠。SUVaver与MRFDG呈正相关 (r=0 6 7)。以SUV值≥ 1 8作为阈值时 ,鉴别良恶性病变的灵敏度和特异性分别为 85 0 %和 82 4% ,以MRFDG(1 1)为阈值时的灵敏度 (82 4% )与SUV相近 ,而特异性 (92 9% )较高。同时采用SUV(1 8)和SUVaver 60 /3 0min(1 1)作为鉴别标准时 ,较之单独采用SUV特异性可改善为 93 3% ,灵敏度略有降低 (81 3% )。结论 骨骼良恶性病变之间存在葡萄糖代谢率差异。单用静态FDGPET获取SUV值不能很好鉴?吴华 Antonia Dimitrakopoulou-Strauss Thomas O-Heichel Burkhard Lehner Ludger Bernd Volker Ewerbeck Cyrill Burger Ludwig G Strauss 2002中华核医学杂志2002,22,2:3
3A belief--based sequential fusion approach for fusing manual signs and non--manu- al signals 显示文摘Oya Aran Thomas Burger Alice Caplier 2009Pattern Recognition2009,,42:1
4Tastes and odors in the Delaware River 显示文摘Burger J W Thomas S 1934Journal of the American Water Works Association1934,26,:1
5Glioblastoma-related gene mutations and over-expression of functional epidermal growth factor receptors in SKMG-3 glioma cells显示文摘Christopher Thomas Greg Ely David C. James Robert Jenkins Michael Kastan Anne Jedlicka Peter Burger Robert Wharen 2001Acta Neuropathologica2001,,6:1
6CXCR4:a key receptor in the crosstalk between tumor cells and their microenvironment显示文摘Jan A Burger Thomas J 2006Blood2006,107,5:1
7Protein kinase B localization andactivation differentially affect S6 kinase 1 activity and eukaryotic-translation initiation factor 4E-binding protein 1 phosphorylation显示文摘Dufner A Andjelkovic M Burgering BM Hemmings BA Thomas G 1999Mol Cell Biol1999,19,6:1
8Angular distribution of light scattered from a sinusoidal gratin显示文摘Egon Marx Thomas A Germer Theodore V Vor- burger 2000Applied Oaptics2000,39,25:1
9A belief-based sequential fusion approach for fusing manual signs and non-manual signals显示文摘Oya Aran Thomas Burger Alice Caplier Lale Akarun 2008Pattern Recognition2008,,5:1
10Testing of service concepts 显示文摘Thomas Meiren Thomas Burger 2010The Service Industries Journal2010,30,:1
11Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP显示文摘Markus Hafner Markus Landthaler Lukas Burger Mohsen Khorshid Jean Hausser Philipp Berninger Andrea Rothballer Manuel Ascano Anna-Carina Jungkamp Mathias Munschauer Alexander Ulrich Greg S. Wardle Scott Dewell Mihaela Zavolan Thomas Tuschl 2010Cell2010,,1:1
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