Pound MP - Search Results

1

A review of ultrasonic sensing and machine learning methods to monitor industrial processes.

Bowler AL, Pound MP, Watson NJ. Bowler AL, et al. Among authors: pound mp. Ultrasonics. 2022 Aug;124:106776. doi: 10.1016/j.ultras.2022.106776. Epub 2022 May 28. Ultrasonics. 2022. PMID: 35653984 Free article. Review.

2

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.

Pound MP, Atkinson JA, Townsend AJ, Wilson MH, Griffiths M, Jackson AS, Bulat A, Tzimiropoulos G, Wells DM, Murchie EH, Pridmore TP, French AP. Pound MP, et al. Gigascience. 2017 Oct 1;6(10):1-10. doi: 10.1093/gigascience/gix083. Gigascience. 2017. PMID: 29020747 Free PMC article.

3

RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.

Yasrab R, Atkinson JA, Wells DM, French AP, Pridmore TP, Pound MP. Yasrab R, et al. Among authors: pound mp. Gigascience. 2019 Nov 1;8(11):giz123. doi: 10.1093/gigascience/giz123. Gigascience. 2019. PMID: 31702012 Free PMC article.

4

Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking.

Gibbs JA, Burgess AJ, Pound MP, Pridmore TP, Murchie EH. Gibbs JA, et al. Among authors: pound mp. Plant Physiol. 2019 Sep;181(1):28-42. doi: 10.1104/pp.19.00141. Epub 2019 Jul 22. Plant Physiol. 2019. PMID: 31331997 Free PMC article.

5

Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep Learning.

Khan FA, Voß U, Pound MP, French AP. Khan FA, et al. Among authors: pound mp. Front Plant Sci. 2020 Aug 28;11:1275. doi: 10.3389/fpls.2020.01275. eCollection 2020. Front Plant Sci. 2020. PMID: 32983190 Free PMC article.

6

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields.

Gao J, French AP, Pound MP, He Y, Pridmore TP, Pieters JG. Gao J, et al. Among authors: pound mp. Plant Methods. 2020 Mar 5;16:29. doi: 10.1186/s13007-020-00570-z. eCollection 2020. Plant Methods. 2020. PMID: 32165909 Free PMC article.

7

Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction.

Gibbs JA, Pound M, French AP, Wells DM, Murchie E, Pridmore T. Gibbs JA, et al. Plant Physiol. 2018 Oct;178(2):524-534. doi: 10.1104/pp.18.00664. Epub 2018 Aug 10. Plant Physiol. 2018. PMID: 30097468 Free PMC article.

8

Automated recovery of three-dimensional models of plant shoots from multiple color images.

Pound MP, French AP, Murchie EH, Pridmore TP. Pound MP, et al. Plant Physiol. 2014 Dec;166(4):1688-98. doi: 10.1104/pp.114.248971. Epub 2014 Oct 20. Plant Physiol. 2014. PMID: 25332504 Free PMC article.

9

Uncovering the hidden half of plants using new advances in root phenotyping.

Atkinson JA, Pound MP, Bennett MJ, Wells DM. Atkinson JA, et al. Among authors: pound mp. Curr Opin Biotechnol. 2019 Feb;55:1-8. doi: 10.1016/j.copbio.2018.06.002. Epub 2018 Jul 19. Curr Opin Biotechnol. 2019. PMID: 30031961 Free PMC article. Review.

10

Erratum to: Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.

Pound MP, Atkinson JA, Townsend AJ, Wilson MH, Griffiths M, Jackson AS, Bulat A, Tzimiropoulos G, Wells DM, Murchie EH, Pridmore TP, French AP. Pound MP, et al. Gigascience. 2018 Jul 1;7(7):giy042. doi: 10.1093/gigascience/giy042. Gigascience. 2018. PMID: 30053289 Free PMC article. No abstract available.

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