Author

M. Arik

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

A. Adak· 1 shared A. J. DeSalvio· 1 shared J. I. Varela· 1 shared N. de Leon· 1 shared N. R. Shepard· 1 shared S. C. Murray· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperPlant Biology

A. Adak

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1 paper

Recent·Most cited

DEEP LEARNING-BASED HIGH-THROUGHPUT PHENOTYPING OF MAIZE (Zea mays L.) TASSELING FROM UAS IMAGERY ACROSS ENVIRONMENTS

N. R. Shepard, A. J. DeSalvio, M. Arik, A. Adak, S. C. Murray, J. I. Varela, N. de Leon

This paper develops a CNN-based method for high-throughput maize tasseling phenotyping using UAS imagery across multiple environments, achieving high classification accuracy.

bioRxiv · Jun 24, 2024 · PreprintPlant Biology