Adam G. Thomas

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 5

Top Topics

Magnetic Resonance Imaging

Brain Segmentation

Top Venues

Frontiers Neuroinformatics

Publications

Patrick McClure, Dustin Moraczewski, Ka Chun Lam, Adam G. Thomas, Francisco Pereira
Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding. CoRR (2020)
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. Frontiers Neuroinformatics 13 (2019)
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira
Knowing what you know in brain segmentation using deep neural networks. CoRR (2018)
Adam G. Thomas, Andrea Dennis, Nancy B. Rawlings, Charlotte J. Stagg, Lucy Matthews, Martyn Morris, Shannon H. Kolind, Sean Foxley, Mark Jenkinson, Thomas E. Nichols, Helen Dawes, Peter A. Bandettini, Heidi Johansen-Berg
Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise. NeuroImage 131 (2016)
Aaron Trefler, Neda Sadeghi, Adam G. Thomas, Carlo Pierpaoli, Chris I. Baker, Cibu Thomas
-weighted magnetic resonance imaging. NeuroImage 133 (2016)
Cassandra Sampaio-Baptista, Jan Scholz, Mark Jenkinson, Adam G. Thomas, Nicola Filippini, Gabrielle Smit, Gwenaëlle Douaud, Heidi Johansen-Berg
Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention. NeuroImage 96 (2014)
Adam G. Thomas, Sean Marrett, Ziad S. Saad, Douglas A. Ruff, Alex Martin, Peter A. Bandettini
Functional but not structural changes associated with learning: An exploration of longitudinal Voxel-Based Morphometry (VBM). NeuroImage 48 (1) (2009)