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John Fenner

Showing results (1-10 of 16) with videos related to

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Journal of Medical Engineering & Technology|December 11, 2024
News and product updateJohn Fenner
BJR Open|November 12, 2020
The challenge of clinical adoption-the insurmountable obstacle that will stop machine learning?Jonathan Taylor, John Fenner
The British and Irish Orthoptic Journal|October 1, 2020
Simulation of Oscillopsia in Virtual RealityDavid Randall, Helen Griffiths, Gemma Arblaster, et al.
Journal of Medical Engineering & Technology|July 16, 2019
A complex flow phantom for medical imaging: ring vortex phantom design and technical specificationSimone Ambrogio, Adrian Walker, Andrew Narracott, et al.
EJNMMI Research|May 10, 2018
Computer-aided diagnosis for (<sup>123</sup>I)FP-CIT imaging: impact on clinical reportingJonathan Christopher Taylor, Charles Romanowski, Eleanor Lorenz, et al.
BMC Medical Education|November 22, 2017
Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical studentsDavid Roy Warriner, Martin Bayley, Yubing Shi, et al.
Nuclear Medicine Communications|January 19, 2018
The subresolution DaTSCAN phantom: a cost-effective, flexible alternative to traditional phantom technologyJonathan C Taylor, Nicholas Vennart, Ian Negus, et al.
Gastroenterology Research and Practice|February 17, 2016
A Novel Diagnostic Aid for Detection of Intra-Abdominal Adhesions to the Anterior Abdominal Wall Using Dynamic Magnetic Resonance ImagingDavid Randall, John Fenner, Richard Gillott, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|January 21, 2014
Towards radiological diagnosis of abdominal adhesions based on motion signatures derived from sequences of cine-MRI imagesJohn Fenner, Benjamin Wright, Jonathan Emberey, et al.
Peritoneal Dialysis International : Journal of the International Society for Peritoneal Dialysis|April 2, 2011
Initial observations using a novel "cine" magnetic resonance imaging technique to detect changes in abdominal motion caused by encapsulating peritoneal sclerosisBenjamin Wright, Angela Summers, John Fenner, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of Medical Engineering & Technology|December 11, 2024
News and product updateJohn Fenner
BJR Open|November 12, 2020
The challenge of clinical adoption-the insurmountable obstacle that will stop machine learning?Jonathan Taylor, John Fenner
The British and Irish Orthoptic Journal|October 1, 2020
Simulation of Oscillopsia in Virtual RealityDavid Randall, Helen Griffiths, Gemma Arblaster, et al.
Journal of Medical Engineering & Technology|July 16, 2019
A complex flow phantom for medical imaging: ring vortex phantom design and technical specificationSimone Ambrogio, Adrian Walker, Andrew Narracott, et al.
EJNMMI Research|May 10, 2018
Computer-aided diagnosis for (<sup>123</sup>I)FP-CIT imaging: impact on clinical reportingJonathan Christopher Taylor, Charles Romanowski, Eleanor Lorenz, et al.
BMC Medical Education|November 22, 2017
Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical studentsDavid Roy Warriner, Martin Bayley, Yubing Shi, et al.
Nuclear Medicine Communications|January 19, 2018
The subresolution DaTSCAN phantom: a cost-effective, flexible alternative to traditional phantom technologyJonathan C Taylor, Nicholas Vennart, Ian Negus, et al.
Gastroenterology Research and Practice|February 17, 2016
A Novel Diagnostic Aid for Detection of Intra-Abdominal Adhesions to the Anterior Abdominal Wall Using Dynamic Magnetic Resonance ImagingDavid Randall, John Fenner, Richard Gillott, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|January 21, 2014
Towards radiological diagnosis of abdominal adhesions based on motion signatures derived from sequences of cine-MRI imagesJohn Fenner, Benjamin Wright, Jonathan Emberey, et al.
Peritoneal Dialysis International : Journal of the International Society for Peritoneal Dialysis|April 2, 2011
Initial observations using a novel "cine" magnetic resonance imaging technique to detect changes in abdominal motion caused by encapsulating peritoneal sclerosisBenjamin Wright, Angela Summers, John Fenner, et al.
Pageof 2