Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2015 4
2017 7
2018 3
2019 1
2020 2
2021 1
2022 3
2023 3
2024 2

Text availability

Article attribute

Article type

Publication date

Search Results

24 results

Results by year

Filters applied: . Clear all
Page 1
High-throughput phenotyping.
Gehan MA, Kellogg EA. Gehan MA, et al. Am J Bot. 2017 Apr;104(4):505-508. doi: 10.3732/ajb.1700044. Epub 2017 Apr 11. Am J Bot. 2017. PMID: 28400413 Free article. No abstract available.
Deep Learning in Image-Based Plant Phenotyping.
Murphy KM, Ludwig E, Gutierrez J, Gehan MA. Murphy KM, et al. Among authors: gehan ma. Annu Rev Plant Biol. 2024 Feb 21. doi: 10.1146/annurev-arplant-070523-042828. Online ahead of print. Annu Rev Plant Biol. 2024. PMID: 38382904 Review.
Transcriptional networks-crops, clocks, and abiotic stress.
Gehan MA, Greenham K, Mockler TC, McClung CR. Gehan MA, et al. Curr Opin Plant Biol. 2015 Apr;24:39-46. doi: 10.1016/j.pbi.2015.01.004. Epub 2015 Feb 1. Curr Opin Plant Biol. 2015. PMID: 25646668 Review.
A protocol for Chenopodium quinoa pollen germination.
Castillo SE, Tovar JC, Shamin A, Gutirerrez J, Pearson P, Gehan MA. Castillo SE, et al. Among authors: gehan ma. Plant Methods. 2022 May 18;18(1):65. doi: 10.1186/s13007-022-00900-3. Plant Methods. 2022. PMID: 35585546 Free PMC article.
Morphological Plant Modeling: Unleashing Geometric and Topological Potential within the Plant Sciences.
Bucksch A, Atta-Boateng A, Azihou AF, Battogtokh D, Baumgartner A, Binder BM, Braybrook SA, Chang C, Coneva V, DeWitt TJ, Fletcher AG, Gehan MA, Diaz-Martinez DH, Hong L, Iyer-Pascuzzi AS, Klein LL, Leiboff S, Li M, Lynch JP, Maizel A, Maloof JN, Markelz RJC, Martinez CC, Miller LA, Mio W, Palubicki W, Poorter H, Pradal C, Price CA, Puttonen E, Reese JB, Rellán-Álvarez R, Spalding EP, Sparks EE, Topp CN, Williams JH, Chitwood DH. Bucksch A, et al. Among authors: gehan ma. Front Plant Sci. 2017 Jun 9;8:900. doi: 10.3389/fpls.2017.00900. eCollection 2017. Front Plant Sci. 2017. PMID: 28659934 Free PMC article. Review.
Raspberry Pi-powered imaging for plant phenotyping.
Tovar JC, Hoyer JS, Lin A, Tielking A, Callen ST, Elizabeth Castillo S, Miller M, Tessman M, Fahlgren N, Carrington JC, Nusinow DA, Gehan MA. Tovar JC, et al. Among authors: gehan ma. Appl Plant Sci. 2018 Mar 31;6(3):e1031. doi: 10.1002/aps3.1031. eCollection 2018 Mar. Appl Plant Sci. 2018. PMID: 29732261 Free PMC article.
24 results