Allen T. Newton

According to our database, Allen T. Newton authored at least 18 papers between 2009 and 2023.

Collaborative distances:

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

2023

Deep whole brain segmentation of 7T structural MRI.

Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey I. Kerley, Micah D'Archangel, Laura A. Barquero, Allen T. Newton, Isabel Gauthier, Rankin W. McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.

Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah D'Archangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2020

Concomitant modulation of BOLD responses in white matter pathways and cortex.

Arabinda Mishra, Muwei Li, Adam W. Anderson, Allen T. Newton, Zhaohua Ding, John C. Gore

NeuroImage, 2020

Thickness of Deep Layers in the Fusiform Face Area Predicts Face Recognition.

Rankin W. McGugin, Allen T. Newton, Benjamin J. Tamber-Rosenau, Andrew Tomarken, Isabel Gauthier

J. Cogn. Neurosci., 2020

MRI correlates of chronic symptoms in mild traumatic brain injury.

Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2018

Towards Portable Large-Scale Image Processing with High-Performance Computing.

Yuankai Huo, Justin A. Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman

J. Digit. Imaging, 2018

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.

Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, Larry Taylor Davis, Jeffrey Luci, Adam W. Anderson, Bennett A. Landman

CoRR, 2018

SHARD: spherical harmonic-based robust outlier detection for HARDI methods.

Vishwesh Nath, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Evaluation of inter-site bias and variance in diffusion-weighted MRI.

Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Baxter P. Rogers, Allen T. Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Learning implicit brain MRI manifolds with deep learning.

Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Multi-modal and targeted imaging improves automated mid-brain segmentation.

Andrew J. Plassard, Pierre-François D'Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

On the fallacy of quantitative segmentation for T1-weighted MRI.

Andrew J. Plassard, Robert L. Harrigan, Allen T. Newton, Swati D. Rane, Srivatsan Pallavaram, Pierre-François D'Haese, Benoit M. Dawant, Daniel O. Claassen, Bennett A. Landman

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

Thalamic nuclei segmentation in clinical 3T T1-weighted Images using high-resolution 7T shape models.

Yuan Liu, Pierre-François D'Haese, Allen T. Newton, Benoit M. Dawant

Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

2014

Evaluation of Statistical Inference on Empirical Resting State fMRI.

Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman

IEEE Trans. Biomed. Eng., 2014

2012

Improving measurement of functional connectivity through decreasing partial volume effects at 7 T.

Allen T. Newton, Baxter P. Rogers, John C. Gore, Victoria L. Morgan

NeuroImage, 2012

A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T.

Xue Yang, Martha J. Holmes, Allen T. Newton, Victoria L. Morgan, Bennett A. Landman

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Quantitative Evaluation of Statistical Inference in Resting State Functional MRI.

Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2009

Measurement of steady state functional connectivity in the human brain using functional magnetic resonance imaging.

Allen T. Newton

PhD thesis, 2009