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Fabienne Perren

Researcher at University of Geneva

Publications -  53
Citations -  2486

Fabienne Perren is an academic researcher from University of Geneva. The author has contributed to research in topics: Stroke & Transcranial Doppler. The author has an hindex of 18, co-authored 52 publications receiving 1957 citations. Previous affiliations of Fabienne Perren include Geneva College.

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Validation of a one-dimensional model of the systemic arterial tree.

TL;DR: This study constitutes a first validation of the complete one-dimensional model using human pressure and flow data and supports the applicability of the 1-D model in the human circulation.
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Grading Carotid Stenosis Using Ultrasonic Methods

TL;DR: This multiparametric approach is intended to increase the reliability and the standard of reporting of ultrasonic results for arteriosclerotic disease of the carotid artery.
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Validation of a patient-specific one-dimensional model of the systemic arterial tree

TL;DR: It is concluded that a patient-specific one-dimensional model of the arterial tree is able to predict well pressure and flow waveforms in the main systemic circulation, whereas this is not always the case for a generic one- dimensional model.
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Safety and Efficacy of Ultrasound-Enhanced Thrombolysis A Comprehensive Review and Meta-Analysis of Randomized and Nonrandomized Studies

TL;DR: A meta-analysis evaluated the safety and efficacy of ultrasound-enhanced thrombolysis compared to the current standard of care (intravenous tPA) and found the present safety and signal-of-efficacy data should be taken into account in the design of future randomized controlled trials.
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Adaptive Spatiotemporal SVD Clutter Filtering for Ultrafast Doppler Imaging Using Similarity of Spatial Singular Vectors

TL;DR: An efficient estimator for automatic thresholding of subspaces is introduced and compared to an exhaustive list of thirteen estimators that could achieve this task based on the main characteristics of the singular components, namely the singular values, the temporal singular vectors, and the spatial singular vectors.