Author

M. Elhamod

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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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Karpatne· 2 shared H. L. Bart· 2 shared J. Greenberg· 2 shared J. Leipzig· 2 shared P. Mabee· 2 shared W. Dahdul· 2 shared Y. Bakis· 2 shared A. M. Maga· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersEvolutionary Biology

A. Karpatne

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2 papers

Recent·Most cited

Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species

J. Leipzig, Y. Bakis, X. Wang, M. Elhamod, K. Diamond, W. Dahdul, A. Karpatne, M. Maga, P. Mabee, H. L. Bart, J. Greenberg

This study shows that image quality metadata improves fish species classification by CNNs, with high-quality images achieving higher F1 accuracy than low-quality ones.

bioRxiv · Jan 28, 2021 · PreprintEvolutionary Biology

Hierarchy-guided Neural Networks for Species Classification

M. Elhamod, K. M. Diamond, A. M. Maga, Y. Bakis, H. L. Bart, P. Mabee, W. Dahdul, J. Leipzig, J. Greenberg, B. Avants, A. Karpatne

This paper introduces a hierarchy-guided neural network for species classification, showing improved accuracy and resilience to adversarial occlusions in fish species classification.

bioRxiv · Jan 17, 2021Evolutionary Biology