SLAM Endoscopy enhanced by adversarial depth prediction. - Richard J. Chen; Taylor L. Bobrow; Thomas L. Athey; Faisal Mahmood 001; Nicholas J. Durr (CoRR, 2019)

AutoGMM: Automatic Gaussian Mixture Modeling in Python. - Thomas L. Athey; Joshua T. Vogelstein (CoRR, 2019)

Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction. - Thomas L. Athey; Daniel Tward; Ulrich Mueller; Michael I. Miller (CoRR, 2021)

Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry. - Thomas L. Athey; Jacopo Teneggi; Joshua T. Vogelstein; Daniel Jacob Tward; Ulrich Mueller; Michael I. Miller (Frontiers Neuroinformatics, 2021)

Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. - Jean-Baptiste Poline; David N. Kennedy; Friedrich T. Sommer; Giorgio A. Ascoli; David C. Van Essen; Adam R. Ferguson; Jeffrey S. Grethe; Michael Hawrylycz; Paul M. Thompson; Russell A. Poldrack; Satrajit S. Ghosh; David B. Keator; et al. (Neuroinformatics, 2022)

BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes. - Thomas L. Athey; Matthew A. Wright; Marija Pavlovic; Vikram Chandrashekhar; Karl Deisseroth; Michael I. Miller; Joshua T. Vogelstein (Neuroinformatics, 2023)

Preserving Derivative Information while Transforming Neuronal Curves. - Thomas L. Athey; Daniel Jacob Tward; Ulrich Mueller; Laurent Younes; Joshua T. Vogelstein; Michael I. Miller (Neuroinformatics, 2024)

NeuroADDA: Active Discriminative Domain Adaptation in Connectomic. - Shashata Sawmya; Thomas L. Athey; Gwyneth Liu; Nir Shavit (CoRR, 2025)

Cascade Detector Analysis and Application to Biomedical Microscopy. - Thomas L. Athey; Shashata Sawmya; Nir Shavit (CoRR, 2025)