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Journal of Advanced Nursing
|
May 13, 1998
Nursing in the dialysis unit: technological enframing and a declining art, or an imperative for caring
M T Bevan
Qualitative Health Research
|
January 14, 2014
A method of phenomenological interviewing
Mark T Bevan
Journal of Advanced Nursing
|
February 15, 2000
Dialysis as 'deus ex machina': a critical analysis of haemodialysis
M 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 waveforms
K 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 models
E 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 Imaging
Rhodri 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 defects
Nicolas 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 Defects
Rhodri 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 experience
Nigel 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 Data
Richard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Journal of Advanced Nursing
|
May 13, 1998
Nursing in the dialysis unit: technological enframing and a declining art, or an imperative for caring
M T Bevan
Qualitative Health Research
|
January 14, 2014
A method of phenomenological interviewing
Mark T Bevan
Journal of Advanced Nursing
|
February 15, 2000
Dialysis as 'deus ex machina': a critical analysis of haemodialysis
M 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 waveforms
K 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 models
E 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 Imaging
Rhodri 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 defects
Nicolas 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 Defects
Rhodri 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 experience
Nigel 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 Data
Richard J Pyle, Rhodri L T Bevan, Robert R Hughes, et al.
Page
of 2