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Oshane Thomas

As seen in: Wiley Online Library, PLOS, BioRxiv
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Articles

SlicerMorph Photogrammetry: An Open-Source Photogrammetry Workflow for Reconstructing 3D Models

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By Oshane Thomas, Chi Zhang, A. Murat Maga
| BioRxiv
Abstract Accurate three dimensional (3D) models of skeletal and other biological specimens are crucial for ecological and evolutionary research and teaching. Here, we present a streamlined, open source workflow for 3D photogrammetry that allows researchers to construct 3D models using the 3D Slicer and SlicerMorph ecosystem.
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Leveraging descriptor learning and functional map‐based shape matching for automated anatomical Landmarking in mouse mandibles

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By Oshane Thomas, A. Murat Maga
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. REFERENCES & (2013) Geomorph: an rpackage for the collection and analysis of geometric morphometric shape data. Methods in Ecology and Evolution, 4, 393–399. Available from: https://doi.org/10.1111/2041-210x.12035 , & (2004) Geometric morphometrics: ten years of progress following the ‘revolution’.
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Leveraging Descriptor Learning and Functional Map-based Shape Matching for Automatic Landmark Acquisition

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By Oshane Thomas, A. Murat Maga
| BioRxiv
Abstract Geometric morphometrics is widely employed across the biological sciences for the quantification of morphological traits. However, the scalability of these methods to large datasets is hampered by the requisite placement of landmarks, which can be laborious and time consuming if done manually. Additionally, the selected landmarks embody a particular hypothesis regarding the critical geometry pertinent to the biological inquiry at hand.
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