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P Pound

Showing results (31-40 of 54) with videos related to

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Annals of Botany|January 10, 2017
Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systemsAlexandra J Burgess, Renata Retkute, Michael P Pound, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 15, 2020
Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder NetworksMohammadreza Soltaninejad, Craig J Sturrock, Marcus Griffiths, et al.
Quality & Safety in Health Care|December 7, 2007
Capturing users' experience of UK out-of-hours primary medical care: piloting and psychometric properties of the Out-of-hours Patient QuestionnaireJ L Campbell, A Dickens, S H Richards, et al.
Plant Methods|March 14, 2017
AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotypingMichael P Pound, Susan Fozard, Mercedes Torres Torres, et al.
The Plant Cell|April 5, 2012
CellSeT: novel software to extract and analyze structured networks of plant cells from confocal imagesMichael P Pound, Andrew P French, Darren M Wells, et al.
Plant Physiology|July 24, 2019
Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object TrackingJonathon A Gibbs, Alexandra J Burgess, Michael P Pound, et al.
Plant Methods|March 14, 2020
Deep convolutional neural networks for image-based <i>Convolvulus sepium</i> detection in sugar beet fieldsJunfeng Gao, Andrew P French, Michael P Pound, et al.
Optics Express|August 13, 2025
Practical aberration correction using deep transfer learning with limited experimental dataYong En Kok, Alexander Bentley, Andrew J Parkes, et al.
Gigascience|November 9, 2019
RootNav 2.0: Deep learning for automatic navigation of complex plant root architecturesRobail Yasrab, Jonathan A Atkinson, Darren M Wells, et al.
Plant Physiology|June 15, 2013
RootNav: navigating images of complex root architecturesMichael P Pound, Andrew P French, Jonathan A Atkinson, et al.
Pageof 6

Showing results (31-40 of 54) with videos related to

Sort By:
Pageof 6
Annals of Botany|January 10, 2017
Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systemsAlexandra J Burgess, Renata Retkute, Michael P Pound, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 15, 2020
Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder NetworksMohammadreza Soltaninejad, Craig J Sturrock, Marcus Griffiths, et al.
Quality & Safety in Health Care|December 7, 2007
Capturing users' experience of UK out-of-hours primary medical care: piloting and psychometric properties of the Out-of-hours Patient QuestionnaireJ L Campbell, A Dickens, S H Richards, et al.
Plant Methods|March 14, 2017
AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotypingMichael P Pound, Susan Fozard, Mercedes Torres Torres, et al.
The Plant Cell|April 5, 2012
CellSeT: novel software to extract and analyze structured networks of plant cells from confocal imagesMichael P Pound, Andrew P French, Darren M Wells, et al.
Plant Physiology|July 24, 2019
Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object TrackingJonathon A Gibbs, Alexandra J Burgess, Michael P Pound, et al.
Plant Methods|March 14, 2020
Deep convolutional neural networks for image-based <i>Convolvulus sepium</i> detection in sugar beet fieldsJunfeng Gao, Andrew P French, Michael P Pound, et al.
Optics Express|August 13, 2025
Practical aberration correction using deep transfer learning with limited experimental dataYong En Kok, Alexander Bentley, Andrew J Parkes, et al.
Gigascience|November 9, 2019
RootNav 2.0: Deep learning for automatic navigation of complex plant root architecturesRobail Yasrab, Jonathan A Atkinson, Darren M Wells, et al.
Plant Physiology|June 15, 2013
RootNav: navigating images of complex root architecturesMichael P Pound, Andrew P French, Jonathan A Atkinson, et al.
Pageof 6