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Jacques Felblinger

Researcher at University of Lorraine

Publications -  222
Citations -  5015

Jacques Felblinger is an academic researcher from University of Lorraine. The author has contributed to research in topics: Signal & Magnetic resonance imaging. The author has an hindex of 33, co-authored 207 publications receiving 4505 citations. Previous affiliations of Jacques Felblinger include French Institute of Health and Medical Research & University of Bern.

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Automated cortical projection of EEG sensors: anatomical correlation via the international 10-10 system.

TL;DR: It is found that the cortical projections of the 10-10 system could be estimated with a grand standard deviation of 4.6 mm in x, 7.1 mm in y and 7.8 mm in z and that the variability of projections is greatest in the central region and parietal lobe and least in the frontal and temporal lobes.
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CT image quality improvement using Adaptive Iterative Dose Reduction with wide-volume acquisition on 320-detector CT.

TL;DR: This study showed that Adaptive Iterative Dose Reduction (AIDR) reduces image noise in a phantom and in patients, quantitative and subjective evaluation showed that image noise was significantly lower with AIDR than with FBP.
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Vascular Structure and Function Is Correlated to Cognitive Performance and White Matter Hyperintensities in Older Hypertensive Patients With Subjective Memory Complaints

TL;DR: The data suggest that vascular abnormalities, independently of blood pressure levels, may play a role in the setting of subjective memory complaints as well as of WMH in elderly hypertensive patients.
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Electroanatomic Characterization of Post-Infarct Scars Comparison With 3-Dimensional Myocardial Scar Reconstruction Based on Magnetic Resonance Imaging

TL;DR: Sinus-rhythm EAM helps identify the limits of post-infarct scars, however, the accuracy of EAM for precise scar delineation is limited and this limit might be circumvented using anatomical information provided by 3D MRI data.
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Structural and Neurobehavioral Delay in Postnatal Brain Development of Preterm Infants

TL;DR: It is concluded that MRI and 1H MRS can be used to study postnatal brain development in preterm infants and structural and biochemical maturation is accompanied by functional maturation as shown with the neurobehavior assessment.