Author

James T. Stroud

Georgia Institute of TechnologyORCID 0000-0003-0734-6795Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:clustering· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:non-human primate· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Le Yang Loh· 2 shared Anqi Zheng· 1 shared Arthur PortoiD· 1 shared Ayush Parikh· 1 shared Boneng ShiiD· 1 shared Breanna Shi· 1 shared Ilia JahanshahiiD· 1 shared Jonathan J. SuhiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersEvolutionary Biology

Le Yang Loh

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintJun 12, 2026

LizardMorph: A generalizable machine learning framework for automated anatomical landmark detection in digital images

Mercedes Quintana, Le Yang Loh, Ayush Parikh…·James T. Stroud

LizardMorph automates anatomical landmark detection in biological images, achieving high accuracy and efficiency compared to manual methods.

DOI 10.64898/2026.06.10.731351

non-human primateimaging

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EcologybioRxivPreprintJun 12, 2026

LizardLens: A Two-Stage Deep Learning Pipeline for Detecting and Classifying Similar Species in Visually Complex Environments

Wen Han Chia, Ilia Jahanshahi, Le Yang Loh…·James T. Stroud

LizardLens improves species identification in complex environments using a two-stage deep learning pipeline, achieving high accuracy for Anolis lizards.

DOI 10.64898/2026.06.10.731342

imagingfluorescence / live-cell microscopy

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