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Allen T. Newton
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Books and Theses
- 2009
- [b1]Allen T. Newton:
Measurement of steady state functional connectivity in the human brain using functional magnetic resonance imaging. Vanderbilt University, Nashville, Tennessee, USA, 2009
Journal Articles
- 2020
- [j5]Rankin W. McGugin, Allen T. Newton, Benjamin J. Tamber-Rosenau
, Andrew Tomarken, Isabel Gauthier
:
Thickness of Deep Layers in the Fusiform Face Area Predicts Face Recognition. J. Cogn. Neurosci. 32(7): 1316-1329 (2020) - [j4]Arabinda Mishra, Muwei Li, Adam W. Anderson, Allen T. Newton, Zhaohua Ding, John C. Gore:
Concomitant modulation of BOLD responses in white matter pathways and cortex. NeuroImage 216: 116791 (2020) - 2018
- [j3]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:
Towards Portable Large-Scale Image Processing with High-Performance Computing. J. Digit. Imaging 31(3): 304-314 (2018) - 2014
- [j2]Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman:
Evaluation of Statistical Inference on Empirical Resting State fMRI. IEEE Trans. Biomed. Eng. 61(4): 1091-1099 (2014) - 2012
- [j1]Allen T. Newton, Baxter P. Rogers
, John C. Gore, Victoria L. Morgan:
Improving measurement of functional connectivity through decreasing partial volume effects at 7 T. NeuroImage 59(3): 2511-2517 (2012)
Conference and Workshop Papers
- 2023
- [c11]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:
Deep whole brain segmentation of 7T structural MRI. Medical Imaging: Image Processing 2023 - 2022
- [c10]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:
Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. Medical Imaging: Image Processing 2022 - 2020
- [c9]Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex:
MRI correlates of chronic symptoms in mild traumatic brain injury. Medical Imaging: Image Processing 2020: 113132Q - 2018
- [c8]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:
SHARD: spherical harmonic-based robust outlier detection for HARDI methods. Medical Imaging: Image Processing 2018: 105740X - [c7]Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning implicit brain MRI manifolds with deep learning. Medical Imaging: Image Processing 2018: 105741L - [c6]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:
Evaluation of inter-site bias and variance in diffusion-weighted MRI. Medical Imaging: Image Processing 2018: 1057413 - 2017
- [c5]Andrew J. Plassard, Pierre-François D'Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman:
Multi-modal and targeted imaging improves automated mid-brain segmentation. Medical Imaging: Image Processing 2017: 101330J - 2016
- [c4]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:
On the fallacy of quantitative segmentation for T1-weighted MRI. Medical Imaging: Image Processing 2016: 978416 - 2015
- [c3]Yuan Liu, Pierre-François D'Haese, Allen T. Newton, Benoit M. Dawant:
Thalamic nuclei segmentation in clinical 3T T1-weighted Images using high-resolution 7T shape models. Medical Imaging: Image-Guided Procedures 2015: 94150E - 2012
- [c2]Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman:
Quantitative Evaluation of Statistical Inference in Resting State Functional MRI. MICCAI (2) 2012: 246-253 - [c1]Xue Yang, Martha J. Holmes, Allen T. Newton, Victoria L. Morgan, Bennett A. Landman:
A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T. Medical Imaging: Image Processing 2012: 831416
Informal and Other Publications
- 2019
- [i3]Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex:
MRI correlates of chronic symptoms in mild traumatic brain injury. CoRR abs/1912.04116 (2019) - 2018
- [i2]Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning Implicit Brain MRI Manifolds with Deep Learning. CoRR abs/1801.01847 (2018) - [i1]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:
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. CoRR abs/1810.04260 (2018)
Coauthor Index
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