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Michael Berks

Showing results (1-10 of 27) with videos related to

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Rheumatology (Oxford, England)|January 25, 2021
Quantitative nailfold capillaroscopy-update and possible next stepsAriane L Herrick, Michael Berks, Chris J Taylor
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Detecting and classifying linear structures in mammograms using random forestsMichael Berks, Zezhi Chen, Sue Astley, et al.
Rheumatology (Oxford, England)|November 24, 2020
Comparison between low cost USB nailfold capillaroscopy and videocapillaroscopy: a pilot studyMichael Berks, Graham Dinsdale, Elizabeth Marjanovic, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
An automated system for detecting and measuring nailfold capillariesMichael Berks, Phil Tresadern, Graham Dinsdale, et al.
Microvascular Research|April 2, 2018
Automated structure and flow measurement - a promising tool in nailfold capillaroscopyMichael Berks, Graham Dinsdale, Andrea Murray, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2026
Voxel-wise tracer kinetic model selection for DCE-MRI measurements of blood-brain barrier leakageOlivia A Jones, Ben R Dickie, Michael Berks, et al.
Journal of Biomedical Optics|December 15, 2022
Multispectral imaging of nailfold capillaries using light-emitting diode illuminationMichaela Taylor-Williams, Stephen Mead, Travis W Sawyer, et al.
Magnetic Resonance in Medicine|May 11, 2021
A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinomaMichael Berks, Ross A Little, Yvonne Watson, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2019
Prediction of reader estimates of mammographic density using convolutional neural networksGeorgia V Ionescu, Martin Fergie, Michael Berks, et al.
Rheumatology (Oxford, England)|January 18, 2023
A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary imagesPraveen Gurunath Bharathi, Michael Berks, Graham Dinsdale, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Rheumatology (Oxford, England)|January 25, 2021
Quantitative nailfold capillaroscopy-update and possible next stepsAriane L Herrick, Michael Berks, Chris J Taylor
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Detecting and classifying linear structures in mammograms using random forestsMichael Berks, Zezhi Chen, Sue Astley, et al.
Rheumatology (Oxford, England)|November 24, 2020
Comparison between low cost USB nailfold capillaroscopy and videocapillaroscopy: a pilot studyMichael Berks, Graham Dinsdale, Elizabeth Marjanovic, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
An automated system for detecting and measuring nailfold capillariesMichael Berks, Phil Tresadern, Graham Dinsdale, et al.
Microvascular Research|April 2, 2018
Automated structure and flow measurement - a promising tool in nailfold capillaroscopyMichael Berks, Graham Dinsdale, Andrea Murray, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2026
Voxel-wise tracer kinetic model selection for DCE-MRI measurements of blood-brain barrier leakageOlivia A Jones, Ben R Dickie, Michael Berks, et al.
Journal of Biomedical Optics|December 15, 2022
Multispectral imaging of nailfold capillaries using light-emitting diode illuminationMichaela Taylor-Williams, Stephen Mead, Travis W Sawyer, et al.
Magnetic Resonance in Medicine|May 11, 2021
A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinomaMichael Berks, Ross A Little, Yvonne Watson, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2019
Prediction of reader estimates of mammographic density using convolutional neural networksGeorgia V Ionescu, Martin Fergie, Michael Berks, et al.
Rheumatology (Oxford, England)|January 18, 2023
A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary imagesPraveen Gurunath Bharathi, Michael Berks, Graham Dinsdale, et al.
Pageof 3