Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

T Bevan

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Journal of Advanced Nursing|May 13, 1998
Nursing in the dialysis unit: technological enframing and a declining art, or an imperative for caringM T Bevan
Qualitative Health Research|January 14, 2014
A method of phenomenological interviewingMark T Bevan
Journal of Advanced Nursing|February 15, 2000
Dialysis as 'deus ex machina': a critical analysis of haemodialysisM T Bevan
International Journal for Numerical Methods in Biomedical Engineering|December 6, 2012
An improved baseline model for a human arterial network to study the impact of aneurysms on pressure-flow waveformsK Low, R van Loon, I Sazonov, et al.
International Journal for Numerical Methods in Biomedical Engineering|July 30, 2013
Flow-induced ATP release in patient-specific arterial geometries--a comparative study of computational modelsE Boileau, R L T Bevan, I Sazonov, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|October 19, 2018
Experimental Quantification of Noise in Linear Ultrasonic ImagingRhodri L T Bevan, Jie Zhang, Nicolas Budyn, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|April 17, 2019
A model for multi-view ultrasonic array inspection of small two-dimensional defectsNicolas Budyn, Rhodri L T Bevan, Jie Zhang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Data Fusion of Multiview Ultrasonic Imaging for Characterization of Large DefectsRhodri L T Bevan, Nicolas Budyn, Jie Zhang, et al.
Clinical Kidney Journal|January 23, 2016
Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experienceNigel S Kanagasundaram, Mark T Bevan, Andrew J Sims, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|February 14, 2022
Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental DataRichard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Advanced Nursing|May 13, 1998
Nursing in the dialysis unit: technological enframing and a declining art, or an imperative for caringM T Bevan
Qualitative Health Research|January 14, 2014
A method of phenomenological interviewingMark T Bevan
Journal of Advanced Nursing|February 15, 2000
Dialysis as 'deus ex machina': a critical analysis of haemodialysisM T Bevan
International Journal for Numerical Methods in Biomedical Engineering|December 6, 2012
An improved baseline model for a human arterial network to study the impact of aneurysms on pressure-flow waveformsK Low, R van Loon, I Sazonov, et al.
International Journal for Numerical Methods in Biomedical Engineering|July 30, 2013
Flow-induced ATP release in patient-specific arterial geometries--a comparative study of computational modelsE Boileau, R L T Bevan, I Sazonov, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|October 19, 2018
Experimental Quantification of Noise in Linear Ultrasonic ImagingRhodri L T Bevan, Jie Zhang, Nicolas Budyn, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|April 17, 2019
A model for multi-view ultrasonic array inspection of small two-dimensional defectsNicolas Budyn, Rhodri L T Bevan, Jie Zhang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Data Fusion of Multiview Ultrasonic Imaging for Characterization of Large DefectsRhodri L T Bevan, Nicolas Budyn, Jie Zhang, et al.
Clinical Kidney Journal|January 23, 2016
Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experienceNigel S Kanagasundaram, Mark T Bevan, Andrew J Sims, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|February 14, 2022
Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental DataRichard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Pageof 2