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Allison E. Hainline
Allison E. Hainline
Verified email at vanderbilt.edu
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Year
Tractography reproducibility challenge with empirical data (TraCED): the 2017 ISMRM diffusion study group challenge
V Nath, KG Schilling, P Parvathaneni, Y Huo, JA Blaber, AE Hainline, ...
Journal of Magnetic Resonance Imaging 51 (1), 234-249, 2020
482020
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI
V Nath, KG Schilling, P Parvathaneni, CB Hansen, AE Hainline, Y Huo, ...
Magnetic resonance imaging 62, 220-227, 2019
422019
Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning
V Nath, P Parvathaneni, CB Hansen, AE Hainline, C Bermudez, ...
Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019
352019
Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to …
J Virostko, A Hainline, H Kang, LR Arlinghaus, RG Abramson, SL Barnes, ...
Journal of Medical Imaging 5 (1), 011011-011011, 2018
342018
Gray matter surface based spatial statistics (GS-BSS) in diffusion microstructure
P Parvathaneni, BP Rogers, Y Huo, KG Schilling, AE Hainline, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
212017
Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for neurite orientation dispersion and density imaging using AMICO
P Parvathaneni, V Nath, JA Blaber, KG Schilling, AE Hainline, E Mojahed, ...
Magnetic resonance imaging 50, 96-109, 2018
182018
Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps
C Bermudez, W Rodriguez, Y Huo, AE Hainline, R Li, R Shults, ...
Medical imaging 2019: image processing 10949, 528-534, 2019
142019
A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures
B Greco, A Hainline, J Arbet, K Grinde, A Benitez, N Tintle
European Journal of Human Genetics 24 (5), 767-773, 2016
142016
Characterization and correlation of signal drift in diffusion weighted MRI
CB Hansen, V Nath, AE Hainline, KG Schilling, P Parvathaneni, ...
Magnetic resonance imaging 57, 133-142, 2019
122019
Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results
H Kang, A Hainline, LR Arlinghaus, S Elderidge, X Li, VG Abramson, ...
Journal of Medical Imaging 5 (1), 011015-011015, 2018
92018
Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI
V Nath, KG Schilling, P Parvathaneni, J Blaber, AE Hainline, Z Ding, ...
Journal of Medical Imaging 5 (1), 014005-014005, 2018
72018
Deep learning captures more accurate diffusion fiber orientations distributions than constrained spherical deconvolution
V Nath, KG Schilling, CB Hansen, P Parvathaneni, AE Hainline, ...
arXiv preprint arXiv:1911.07927, 2019
52019
Improved gray matter surface based spatial statistics in neuroimaging studies
P Parvathaneni, I Lyu, Y Huo, BP Rogers, KG Schilling, V Nath, JA Blaber, ...
Magnetic resonance imaging 61, 285-295, 2019
52019
Application of family-based tests of association for rare variants to pathways
B Greco, A Luedtke, A Hainline, C Alvarez, A Beck, NL Tintle
BMC proceedings 8, 1-5, 2014
52014
A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging
AE Hainline, V Nath, P Parvathaneni, KG Schilling, JA Blaber, ...
Magnetic resonance imaging 59, 130-136, 2019
42019
Empirical single sample quantification of bias and variance in Q‐ball imaging
AE Hainline, V Nath, P Parvathaneni, JA Blaber, KG Schilling, ...
Magnetic resonance in medicine 80 (4), 1666-1675, 2018
42018
Harmonization of white and gray matter features in diffusion microarchitecture for cross-sectional studies
P Parvathaneni, S Bao, A Hainline, Y Huo, KG Schilling, H Kang, ...
Computer Aided Intervention and Diagnostics in Clinical and Medical Images …, 2019
32019
SHARD: spherical harmonic-based robust outlier detection for HARDI methods
V Nath, KG Schilling, AE Hainline, P Parvathaneni, JA Blaber, I Lyu, ...
Medical Imaging 2018: Image Processing 10574, 213-223, 2018
32018
The attenuation distribution across the long axis of breast cancer liver metastases at CT: a quantitative biomarker for predicting overall survival
RG Abramson, N Lakomkin, A Hainline, H Kang, MS Hutson, CL Arteaga
American Journal of Roentgenology 210 (1), W1-W7, 2018
32018
Evaluation of the power and type I error of recently proposed family-based tests of association for rare variants
A Hainline, C Alvarez, A Luedtke, B Greco, A Beck, NL Tintle
BMC proceedings 8, 1-5, 2014
32014
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Articles 1–20