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Year | Number of Results |
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2015 | 1 |
2016 | 1 |
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2019 | 1 |
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Page 1
Detection and analysis of wheat spikes using Convolutional Neural Networks.
Plant Methods. 2018 Nov 15;14:100. doi: 10.1186/s13007-018-0366-8. eCollection 2018.
Plant Methods. 2018.
PMID: 30459822
Free PMC article.
Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images.
Cai J, Kumar P, Chopin J, Miklavcic SJ.
Cai J, et al. Among authors: chopin j.
PLoS One. 2018 May 24;13(5):e0196671. doi: 10.1371/journal.pone.0196671. eCollection 2018.
PLoS One. 2018.
PMID: 29795568
Free PMC article.
Item in Clipboard
Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination.
Chopin J, Kumar P, Miklavcic SJ.
Chopin J, et al.
Plant Methods. 2018 May 26;14:39. doi: 10.1186/s13007-018-0308-5. eCollection 2018.
Plant Methods. 2018.
PMID: 29849745
Free PMC article.
Item in Clipboard
Correction to: Detection and analysis of wheat spikes using Convolutional Neural Networks.
Hasan MM, Chopin JP, Laga H, Miklavcic SJ.
Hasan MM, et al. Among authors: chopin jp.
Plant Methods. 2019 Mar 20;15:27. doi: 10.1186/s13007-019-0405-0. eCollection 2019.
Plant Methods. 2019.
PMID: 30930954
Free PMC article.
Item in Clipboard
A Hybrid Approach for Improving Image Segmentation: Application to Phenotyping of Wheat Leaves.
Chopin J, Laga H, Miklavcic SJ.
Chopin J, et al.
PLoS One. 2016 Dec 19;11(12):e0168496. doi: 10.1371/journal.pone.0168496. eCollection 2016.
PLoS One. 2016.
PMID: 27992594
Free PMC article.
Item in Clipboard
RootAnalyzer: A Cross-Section Image Analysis Tool for Automated Characterization of Root Cells and Tissues.
Chopin J, Laga H, Huang CY, Heuer S, Miklavcic SJ.
Chopin J, et al.
PLoS One. 2015 Sep 23;10(9):e0137655. doi: 10.1371/journal.pone.0137655. eCollection 2015.
PLoS One. 2015.
PMID: 26398501
Free PMC article.
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