James M. Mulqueeney

This study compares landmark-free morphometric methods with traditional geometric morphometrics across 322 mammals, showing landmark-free approaches better differentiate taxonomic groups.

SPROUT provides a user-friendly segmentation framework for volumetric images, achieving high-quality results with less manual input than supervised models.

This study determines the minimum number of training images needed for accurate 3D feature extraction using deep learning and evaluates the effectiveness of data augmentation.