Author

Mustafa Arik

Texas A&M University

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

Aaron J. DeSalvioiD· 1 shared Alper AdakiD· 1 shared José Ignacio VarelaiD· 1 shared Natalia de Leon· 1 shared Nicholas R. ShepardiD· 1 shared Seth C. MurrayiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperPlant Biology

Aaron J. DeSalvioORCID

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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

Nicholas R. Shepard, Aaron J. DeSalvio, Mustafa Arik, Alper Adak, Seth C. Murray, José Ignacio Varela, Natalia 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.

The Plant Phenome Journal · May 13, 2025Peer-reviewedPlant Biology