Thomas L. Athey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Maximum Likelihood

Reconstruction Process

Confocal Microscopy

Gaussian Mixture Modeling

Top Venues

Neuroinformatics

Frontiers Neuroinformatics

Publications

Thomas L. Athey, Daniel Jacob Tward, Ulrich Mueller, Laurent Younes, Joshua T. Vogelstein, Michael I. Miller
Preserving Derivative Information while Transforming Neuronal Curves. Neuroinformatics 22 (1) (2024)
Thomas L. Athey, Matthew A. Wright, Marija Pavlovic, Vikram Chandrashekhar, Karl Deisseroth, Michael I. Miller, Joshua T. Vogelstein
BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes. Neuroinformatics 21 (4) (2023)
Thomas L. Athey, Daniel Jacob Tward, Ulrich Mueller, Laurent Younes, Joshua T. Vogelstein, Michael I. Miller
Preserving Derivative Information while Transforming Neuronal Curves. CoRR (2023)
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, Thomas L. Athey, Joshua T. Vogelstein, Helen S. Mayberg, Maryann E. Martone
Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. Neuroinformatics 20 (2) (2022)
Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein, Daniel Tward, Ulrich Mueller, Michael I. Miller
Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry. CoRR (2021)
Thomas L. Athey, Daniel Tward, Ulrich Mueller, Michael I. Miller
Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction. CoRR (2021)
Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein, Daniel Jacob Tward, Ulrich Mueller, Michael I. Miller
Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry. Frontiers Neuroinformatics 15 (2021)
Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr
SLAM Endoscopy enhanced by adversarial depth prediction. CoRR (2019)
Thomas L. Athey, Joshua T. Vogelstein
AutoGMM: Automatic Gaussian Mixture Modeling in Python. CoRR (2019)