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Michael P Pound

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

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Ultrasonics|June 2, 2022
A review of ultrasonic sensing and machine learning methods to monitor industrial processesAlexander L Bowler, Michael P Pound, Nicholas J Watson
Plant Phenomics (Washington, D.C.)|April 27, 2026
Deep learning in plant phenotyping: the first ten yearsJordan Ubbens, Ian Stavness, Michael P Pound, et al.
Trends in Plant Science|August 21, 2012
What lies beneath: underlying assumptions in bioimage analysisTony P Pridmore, Andrew P French, Michael P Pound
Frontiers in Plant Science|September 28, 2020
Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep LearningFaraz Ahmad Khan, Ute Voß, Michael P Pound, et al.
Current Opinion in Biotechnology|July 23, 2018
Uncovering the hidden half of plants using new advances in root phenotypingJonathan A Atkinson, Michael P Pound, Malcolm J Bennett, et al.
Plant Physiology|October 22, 2014
Automated recovery of three-dimensional models of plant shoots from multiple color imagesMichael P Pound, Andrew P French, Erik H Murchie, et al.
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.
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.
Pageof 3

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

Sort By:
Pageof 3
Ultrasonics|June 2, 2022
A review of ultrasonic sensing and machine learning methods to monitor industrial processesAlexander L Bowler, Michael P Pound, Nicholas J Watson
Plant Phenomics (Washington, D.C.)|April 27, 2026
Deep learning in plant phenotyping: the first ten yearsJordan Ubbens, Ian Stavness, Michael P Pound, et al.
Trends in Plant Science|August 21, 2012
What lies beneath: underlying assumptions in bioimage analysisTony P Pridmore, Andrew P French, Michael P Pound
Frontiers in Plant Science|September 28, 2020
Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep LearningFaraz Ahmad Khan, Ute Voß, Michael P Pound, et al.
Current Opinion in Biotechnology|July 23, 2018
Uncovering the hidden half of plants using new advances in root phenotypingJonathan A Atkinson, Michael P Pound, Malcolm J Bennett, et al.
Plant Physiology|October 22, 2014
Automated recovery of three-dimensional models of plant shoots from multiple color imagesMichael P Pound, Andrew P French, Erik H Murchie, et al.
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.
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.
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