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Karthik Ramadass
Karthik Ramadass
Zweryfikowany adres z vanderbilt.edu
Tytuł
Cytowane przez
Cytowane przez
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Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
2392022
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
972021
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
592022
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
322021
A unified learning model for estimating fiber orientation distribution functions on heterogeneous multi-shell diffusion-weighted MRI
T Yao, N Newlin, P Kanakaraj, V Nath, LY Cai, K Ramadass, K Schilling, ...
International Workshop on Computational Diffusion MRI, 13-22, 2023
82023
Behavioral and brain anatomical analysis of Foxg1 heterozygous mice
KR Erickson, R Farmer, JK Merritt, Z Miletic Lanaghan, MD Does, ...
Plos one 17 (10), e0266861, 2022
62022
Workflow integration of research AI tools into a hospital radiology rapid prototyping environment
P Kanakaraj, K Ramadass, S Bao, M Basford, LM Jones, HH Lee, K Xu, ...
Journal of Digital Imaging 35 (4), 1023-1033, 2022
62022
MASiVar: multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted magnetic resonance imaging
LY Cai, Q Yang, P Kanakaraj, V Nath, AT Newton, HA Edmonson, J Luci, ...
bioRxiv, 2020.12. 03.408567, 2020
62020
Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning
C Bermudez, SW Remedios, K Ramadass, M McHugo, S Heckers, Y Huo, ...
Journal of Medical Imaging 7 (6), 064004-064004, 2020
62020
Distortion correction of functional MRI without reverse phase encoding scans or field maps
T Yu, LY Cai, S Torrisi, AT Vu, VL Morgan, SE Goodale, K Ramadass, ...
Magnetic resonance imaging 103, 18-27, 2023
52023
Deep constrained spherical deconvolution for robust harmonization
T Yao, F Rheault, LY Cai, V Nath, Z Asad, N Newlin, C Cui, R Deng, ...
Medical Imaging 2023: Image Processing 12464, 177-184, 2023
42023
Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI
K Ramadass, F Rheault, LY Cai, LW Remedios, M D'Archangel, I Lyu, ...
Medical Imaging 2022: Image Processing 12032, 391-397, 2022
42022
DW-MRI microstructure model of models captured via single-shell bottleneck deep learning
V Nath, K Ramadass, KG Schilling, CB Hansen, R Fick, SK Pathak, ...
Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru …, 2021
42021
Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging
T Yao, F Rheault, LY Cai, V Nath, Z Asad, N Newlin, C Cui, R Deng, ...
Journal of Medical Imaging 11 (1), 014005-014005, 2024
32024
Robust fiber ODF estimation using deep constrained spherical deconvolution for diffusion MRI
T Yao, F Rheault, LY Cai, Z Asad, N Newlin, C Cui, R Deng, K Ramadass, ...
arXiv preprint arXiv:2306.02900, 2023
32023
Author Correction: Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
nature communications 14 (1), 436, 2023
32023
TractEM: evaluation of protocols for deterministic tractography white matter atlas
F Rheault, RG Bayrak, X Wang, KG Schilling, JM Greer, CB Hansen, ...
Magnetic resonance imaging 85, 44-56, 2022
32022
Influence of preprocessing, distortion correction and cardiac triggering on the quality of diffusion MR images of spinal cord
KG Schilling, AJE Combes, K Ramadass, F Rheault, G Sweeney, L Prock, ...
Magnetic Resonance Imaging 108, 11-21, 2024
22024
Empirical assessment of the assumptions of ComBat with diffusion tensor imaging
ME Kim, C Gao, LY Cai, Q Yang, NR Newlin, K Ramadass, A Jefferson, ...
Journal of Medical Imaging 11 (2), 024011-024011, 2024
22024
Deep whole brain segmentation of 7T structural MRI
K Ramadass, X Yu, LY Cai, Y Tang, S Bao, CI Kerley, MA D'Archangel, ...
Medical Imaging 2023: Image Processing 12464, 632-639, 2023
22023
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