Author

T. Z. Jubery

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Organism:plant (other)· 2 Approach:contrastive learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

B. Ganapathysubramanian· 2 shared A. K. Singh· 1 shared A. Singh· 1 shared C. Carley· 1 shared D. Dong· 1 shared K. Nagasubramanian· 1 shared R. Wang· 1 shared S. Sarkar· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPlant Biology

B. Ganapathysubramanian

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2 papers

Recent·Most cited

Plant BiologyFrontiers in Plant SciencePeer-reviewedApr 14, 2023

Self-Supervised Maize Kernel Classification and Segmentation for Embryo Identification

D. Dong, K. Nagasubramanian, R. Wang…·B. Ganapathysubramanian

This paper applies self-supervised learning to maize kernel classification and segmentation, showing improved performance and annotation efficiency compared to supervised methods.

DOI 10.3389/fpls.2023.1108355

plant (other)imaging

𝕏 PostBluesky

Plant BiologybioRxivOct 12, 2020

Using Machine Learning To Develop A Fully Automated Soybean Nodule Acquisition Pipeline (SNAP)

T. Z. Jubery, C. Carley, S. Sarkar…·A. K. Singh

The paper introduces SNAP, a deep learning pipeline for automated soybean nodule quantification with 99% accuracy, enabling efficient analysis of nodule traits and genetic-environmental interactions.

DOI 10.34133/2021/9834746

plant (other)imaging

𝕏 PostBluesky