F
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.
Papers
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Journal ArticleDOI
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.
Journal ArticleDOI
Grading Carotid Stenosis Using Ultrasonic Methods
Gerhard-Michael von Reutern,Michael-Wolfgang Goertler,Natan M. Bornstein,Massimo Del Sette,David H. Evans,Andreas Hetzel,Manfred Kaps,Fabienne Perren,Alexander Razumovky,Toshiyuki Shiogai,Ekaterina Titianova,Pavel Traubner,Narayanaswamy Venketasubramanian,Lawrence K.S. Wong,Masahiro Yasaka +14 more
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
Georgios Tsivgoulis,Jürgen Eggers,Marc Ribo,Fabienne Perren,Maher Saqqur,Marta Rubiera,Theodoros N. Sergentanis,Konstantinos Vadikolias,Vincent Larrue,Carlos A. Molina,Andrei V. Alexandrov +10 more
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.