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Machine Learning for High-Throughput Stress Phenotyping in Plants.
Singh A, Ganapathysubramanian B, Singh AK, Sarkar S. Singh A, et al. Among authors: ganapathysubramanian b. Trends Plant Sci. 2016 Feb;21(2):110-124. doi: 10.1016/j.tplants.2015.10.015. Epub 2015 Dec 1. Trends Plant Sci. 2016. PMID: 26651918 Free article. Review.
Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity.
Jubery TZ, Shook J, Parmley K, Zhang J, Naik HS, Higgins R, Sarkar S, Singh A, Singh AK, Ganapathysubramanian B. Jubery TZ, et al. Among authors: ganapathysubramanian b. Front Plant Sci. 2017 Jan 19;7:2066. doi: 10.3389/fpls.2016.02066. eCollection 2016. Front Plant Sci. 2017. PMID: 28154570 Free PMC article.
A deep learning framework for causal shape transformation.
Lore KG, Stoecklein D, Davies M, Ganapathysubramanian B, Sarkar S. Lore KG, et al. Among authors: ganapathysubramanian b. Neural Netw. 2018 Feb;98:305-317. doi: 10.1016/j.neunet.2017.12.003. Epub 2017 Dec 18. Neural Netw. 2018. PMID: 29301111
From Petri Dishes to Model Ecosystems.
Siemianowski O, Lind KR, Tian X, Cain M, Xu S, Ganapathysubramanian B, Cademartiri L. Siemianowski O, et al. Among authors: ganapathysubramanian b. Trends Plant Sci. 2018 May;23(5):378-381. doi: 10.1016/j.tplants.2018.03.006. Epub 2018 Apr 2. Trends Plant Sci. 2018. PMID: 29622395 Review.
An explainable deep machine vision framework for plant stress phenotyping.
Ghosal S, Blystone D, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S. Ghosal S, et al. Among authors: ganapathysubramanian b. Proc Natl Acad Sci U S A. 2018 May 1;115(18):4613-4618. doi: 10.1073/pnas.1716999115. Epub 2018 Apr 16. Proc Natl Acad Sci U S A. 2018. PMID: 29666265 Free PMC article.
73 results