| Limits to anatomical accuracy of diffusion tractography using modern approaches KG Schilling, V Nath, C Hansen, P Parvathaneni, J Blaber, Y Gao, ... Neuroimage 185, 1-11, 2019 | 226 | 2019 |
| Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? KG Schilling, F Rheault, L Petit, CB Hansen, V Nath, FC Yeh, G Girard, ... Neuroimage 243, 118502, 2021 | 126 | 2021 |
| Synthesized b0 for diffusion distortion correction (Synb0-DisCo) KG Schilling, J Blaber, Y Huo, A Newton, C Hansen, V Nath, AT Shafer, ... Magnetic resonance imaging 64, 62-70, 2019 | 107 | 2019 |
| A fiber coherence index for quality control of B-table orientation in diffusion MRI scans KG Schilling, FC Yeh, V Nath, C Hansen, O Williams, S Resnick, ... Magnetic resonance imaging 58, 82-89, 2019 | 70 | 2019 |
| Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps KG Schilling, J Blaber, C Hansen, L Cai, B Rogers, AW Anderson, S Smith, ... PloS one 15 (7), e0236418, 2020 | 67 | 2020 |
| PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images LY Cai, Q Yang, CB Hansen, V Nath, K Ramadass, GW Johnson, ... Magnetic resonance in medicine 86 (1), 456-470, 2021 | 61 | 2021 |
| Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Neuroimage 221, 117128, 2020 | 56 | 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 |
| Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle … KG Schilling, CMW Tax, F Rheault, C Hansen, Q Yang, FC Yeh, L Cai, ... Neuroimage 242, 118451, 2021 | 40 | 2021 |
| 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 | 35 | 2019 |
| Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants KG Schilling, D Archer, FC Yeh, F Rheault, LY Cai, C Hansen, Q Yang, ... Brain Structure and Function 227 (6), 2111-2125, 2022 | 30 | 2022 |
| MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI LY Cai, Q Yang, P Kanakaraj, V Nath, AT Newton, HA Edmonson, J Luci, ... Magnetic resonance in medicine 86 (6), 3304-3320, 2021 | 23 | 2021 |
| Pandora: 4-D white matter bundle population-based atlases derived from diffusion MRI fiber tractography CB Hansen, Q Yang, I Lyu, F Rheault, C Kerley, BQ Chandio, S Fadnavis, ... Neuroinformatics 19, 447-460, 2021 | 22 | 2021 |
| Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI CB Hansen, BP Rogers, KG Schilling, V Nath, JA Blaber, O Irfanoglu, ... Magnetic resonance imaging 76, 69-78, 2021 | 15 | 2021 |
| Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage, 243, Article 118502 KG Schilling, F Rheault, L Petit, CB Hansen, V Nath, FC Yeh, G Girard, ... | 14 | 2021 |
| Phantom-based field maps for gradient nonlinearity correction in diffusion imaging BP Rogers, J Blaber, AT Newton, CB Hansen, EB Welch, AW Anderson, ... Medical Imaging 2018: Physics of Medical Imaging 10573, 945-949, 2018 | 13 | 2018 |
| 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 | 12 | 2019 |
| Harmonizing 1.5 T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators V Nath, S Remedios, P Parvathaneni, CB Hansen, RG Bayrak, ... Medical Imaging 2019: Image Processing 10949, 173-182, 2019 | 10 | 2019 |
| Enabling multi-shell b-value generalizability of data-driven diffusion models with deep SHORE V Nath, I Lyu, KG Schilling, P Parvathaneni, CB Hansen, Y Huo, VA Janve, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 9 | 2019 |
| Learning white matter subject‐specific segmentation from structural MRI Q Yang, CB Hansen, LY Cai, F Rheault, HH Lee, S Bao, BQ Chandio, ... Medical physics 49 (4), 2502-2513, 2022 | 8 | 2022 |
