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Article
High-resolution blood-pool-contrast-enhanced MR angiography in glioblastoma: tumor-associated neovascularization as a biomarker for patient survival. A preliminary study
The objective of the study was to determine whether tumor-associated neovascularization on high-resolution gadofosveset-enhanced magnetic resonance angiography (MRA) is a useful biomarker for predicting surviv...
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Article
Open AccessImproving prevalence estimation through data fusion: methods and validation
Estimation of health prevalences is usually performed with a single survey. Some attempts have been made to integrate more than one source of data. We propose here to validate this approach through data fusion...
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Article
Size Fraction Effects on Planktonic Foraminifera Assemblages: A Compositional Contribution to the Golden Sieve Rush
A comparative study of Last Glacial to Holocene planktonic foraminiferal assemblages obtained from \(>\) ...
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Article
Carotid pulse wave velocity by magnetic resonance imaging is increased in middle-aged subjects with the metabolic syndrome
Arterial pulse wave velocity (PWV), an independent predictor of cardiovascular disease, physiologically increases with age; however, growing evidence suggests metabolic syndrome (MetS) accelerates this increas...
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Article
Albumin-binding MR blood pool contrast agent improves diagnostic performance in human brain tumour: comparison of two contrast agents for glioblastoma
We qualitatively and quantitatively compared MRI enhancement obtained with gadofosveset, an albumin-binding blood-pool contrast agent, and with gadobutrol, an extracellular contrast agent, in patients with gli...
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Chapter
Enriching a Large-Scale Survey from a Representative Sample by Data Fusion: Models and Validation
Data Fusion is a series of operations which takes advantage of collected information. Here we present a complete, real practice of Data Fusion, focussing on all the necessary operational steps carried out. The...
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Article
Distribution of the inter and intra inertia in conditional MCA
Conditional Multiple Correspondence Analysis (MCA), where a control variable plays the role of a partition model, allows us to decompose global inertia into between inertia and within inertia. The problem is t...