| 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 | 177 | 2019 |
| 3D whole brain segmentation using spatially localized atlas network tiles Y Huo, Z Xu, Y Xiong, K Aboud, P Parvathaneni, S Bao, C Bermudez, ... NeuroImage 194, 105-119, 2019 | 156 | 2019 |
| 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 | 39 | 2020 |
| Splenomegaly segmentation on multi-modal MRI using deep convolutional networks Y Huo, Z Xu, S Bao, C Bermudez, H Moon, P Parvathaneni, TK Moyo, ... IEEE transactions on medical imaging 38 (5), 1185-1196, 2018 | 37 | 2018 |
| Spatially localized atlas network tiles enables 3D whole brain segmentation from limited data Y Huo, Z Xu, K Aboud, P Parvathaneni, S Bao, C Bermudez, SM Resnick, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 35 | 2018 |
| 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 | 30 | 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 | 24 | 2019 |
| Towards portable large-scale image processing with high-performance computing Y Huo, J Blaber, SM Damon, BD Boyd, S Bao, P Parvathaneni, ... Journal of digital imaging 31, 304-314, 2018 | 20 | 2018 |
| Cortical surface parcellation using spherical convolutional neural networks P Parvathaneni, S Bao, V Nath, ND Woodward, DO Claassen, CJ Cascio, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 19 | 2019 |
| Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning Y Huo, JG Terry, J Wang, V Nath, C Bermudez, S Bao, P Parvathaneni, ... Medical Imaging 2019: Image Processing 10949, 308-315, 2019 | 18 | 2019 |
| 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 | 18 | 2017 |
| Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields S Bao, C Bermudez, Y Huo, P Parvathaneni, W Rodriguez, SM Resnick, ... Magnetic resonance imaging 59, 143-152, 2019 | 13 | 2019 |
| 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 | 12 | 2018 |
| A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging Y Gao, P Parvathaneni, KG Schilling, F Wang, I Stepniewska, Z Xu, ... Medical Imaging 2016: Image Processing 9784, 943-950, 2016 | 10 | 2016 |
| On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge A De Luca, A Ianus, A Leemans, M Palombo, N Shemesh, H Zhang, ... NeuroImage 240, 118367, 2021 | 9 | 2021 |
| A data colocation grid framework for big data medical image processing: backend design S Bao, Y Huo, P Parvathaneni, AJ Plassard, C Bermudez, Y Yao, I Lyu, ... Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018 | 9 | 2018 |
| Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging KG Schilling, V Nath, JA Blaber, P Parvathaneni, AW Anderson, ... Magnetic resonance imaging 40, 62-74, 2017 | 9 | 2017 |
| 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 | 8 | 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 | 8 | 2019 |
| Improved stability of whole brain surface parcellation with multi-atlas segmentation Y Huo, S Bao, P Parvathaneni, BA Landman Medical Imaging 2018: Image Processing 10574, 859-865, 2018 | 8 | 2018 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityVerified email at vanderbilt.edu
