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 | 48 | 2020 |
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 | 43 | 2019 |
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 | 36 | 2019 |
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 | 35 | 2018 |
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 | 21 | 2017 |
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 | 18 | 2018 |
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 | 14 | 2019 |
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 | 14 | 2016 |
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 | 13 | 2019 |
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 | 9 | 2018 |
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 | 7 | 2018 |
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 | 6 | 2019 |
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 | 5 | 2019 |
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 | 5 | 2014 |
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 | 4 | 2019 |
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 | 4 | 2018 |
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 | 3 | 2019 |
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 | 3 | 2018 |
Evaluation of inter-site bias and variance in diffusion-weighted MRI AE Hainline, V Nath, P Parvathaneni, J Blaber, B Rogers, A Newton, ... Medical Imaging 2018: Image Processing 10574, 266-276, 2018 | 3 | 2018 |
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 | 3 | 2018 |