21 citations · 33 across the 5 of their papers we have counts for
5 papers
Preserving Derivative Information while Transforming Neuronal Curves
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller +3
The international neuroscience community is building the first comprehensive atlases of brain cell types to understand how the brain functions from a higher resolution, and more in…
Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller +2
Recent advances in brain clearing and imaging have made it possible to image entire mammalian brains at sub-micron resolution. These images offer the potential to assemble brain-wi…
Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry
Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein +3
Neuromorphology is crucial to identifying neuronal subtypes and understanding learning. It is also implicated in neurological disease. However, standard morphological analysis focu…
AutoGMM: Automatic Gaussian Mixture Modeling in Python
Tingshan Liu, Thomas L. Athey, Benjamin D. Pedigo +1
The exponential growth of complex data demands fully automatic clustering. Gaussian mixture models (GMMs) provide uncertainty-aware grouping but often require expertise to specify…
SLAM Endoscopy enhanced by adversarial depth prediction
Richard J. Chen, Taylor L. Bobrow, Thomas Athey +2
Medical endoscopy remains a challenging application for simultaneous localization and mapping (SLAM) due to the sparsity of image features and size constraints that prevent direct…