Heath R. Pardoe

According to our database, Heath R. Pardoe authored at least 8 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques.

Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe

Proceedings of the International Joint Conference on Neural Networks, 2021

2018

NAPR: a Cloud-Based Framework for Neuroanatomical Age Prediction.

Heath R. Pardoe, Ruben Kuzniecky

Neuroinformatics, 2018

2016

Motion and morphometry in clinical and nonclinical populations.

Heath R. Pardoe, Rebecca Kucharsky Hiess, Ruben Kuzniecky

NeuroImage, 2016

2012

Selecting appropriate voxel-based methods for neuroimaging studies.

David F. Abbott, Gaby S. Pell, Heath R. Pardoe, Graeme D. Jackson

NeuroImage, 2012

2009

Voxel-Based Iterative Sensitivity (VBIS) analysis: Methods and a validation of intensity scaling for T2-weighted imaging of hippocampal sclerosis.

David F. Abbott, Gaby S. Pell, Heath R. Pardoe, Graeme D. Jackson

NeuroImage, 2009

2008

Composite voxel-based analysis of volume and T2 relaxometry in temporal lobe epilepsy.

Gaby S. Pell, Regula S. Briellmann, Heath R. Pardoe, David F. Abbott, Graeme D. Jackson

NeuroImage, 2008

Selection of the control group for VBM analysis: Influence of covariates, matching and sample size.

Gaby S. Pell, Regula S. Briellmann, Chow Huat (Patrick) Chan, Heath R. Pardoe, David F. Abbott, Graeme D. Jackson

NeuroImage, 2008

Multi-site voxel-based morphometry: Methods and a feasibility demonstration with childhood absence epilepsy.

Heath R. Pardoe, Gaby S. Pell, David F. Abbott, Anne T. Berg, Graeme D. Jackson

NeuroImage, 2008