Thomas L. Athey

According to our database, Thomas L. Athey authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Preserving Derivative Information while Transforming Neuronal Curves.

Thomas L. Athey, Daniel Jacob Tward, Ulrich Mueller, Laurent Younes, Joshua T. Vogelstein, Michael I. Miller

Neuroinformatics, January, 2024

2023

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, October, 2023

2022

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, Thomas L. Athey, Joshua T. Vogelstein, Helen S. Mayberg, Maryann E. Martone

Neuroinformatics, 2022

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

Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction.

Thomas L. Athey, Daniel Tward, Ulrich Mueller, Michael I. Miller

CoRR, 2021

2019

AutoGMM: Automatic Gaussian Mixture Modeling in Python.

Thomas L. Athey, Joshua T. Vogelstein

CoRR, 2019

SLAM Endoscopy enhanced by adversarial depth prediction.

Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr

CoRR, 2019