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Prasanna Parvathaneni
Prasanna Parvathaneni
Verified email at nih.gov - Homepage
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Cited by
Cited by
Year
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
2402019
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
2252019
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
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
452018
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
432018
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
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
282018
Cortical lesion hotspots and association of subpial lesions with disability in multiple sclerosis
ES Beck, J Maranzano, NJ Luciano, P Parvathaneni, S Filippini, ...
Multiple Sclerosis Journal 28 (9), 1351-1363, 2022
232022
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
222019
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
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
192019
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
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
152021
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
132019
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
132016
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
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
102019
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
102017
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
92019
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