Author

J. D. Aponte

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Hallgrimsson· 1 shared C. J. Percival· 1 shared D. C. Katz· 1 shared D. Houle· 1 shared F. H. Rodd· 1 shared J. Devine· 1 shared J. J. Valvo· 1 shared K. A. Hughes· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperEvolutionary Biology

B. Hallgrimsson

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintJul 17, 2020

Colormesh: A novel method for quantifying variation in complex color patterns

J. J. Valvo, F. H. Rodd, J. D. Aponte…·K. A. Hughes

Colormesh quantifies color pattern variation by maintaining continuous color measures across sampling points, avoiding categorical reductions and spatial information loss.

DOI 10.1101/2020.07.17.205369

imagingdeep learning

𝕏 PostBluesky

Evolutionary BiologybioRxivDec 11, 2019

A Registration and Deep Learning Approach to Automated Landmark Detection for Geometric Morphometrics

J. Devine, J. D. Aponte, D. C. Katz…·B. Hallgrimsson

This paper develops a method combining image registration and deep learning to automate landmark detection for geometric morphometrics, showing significant error reduction compared to manual methods.

DOI 10.1007/s11692-020-09508-8

mouseimaging

𝕏 PostBluesky