| 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 | 68 | 2020 |
| 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 |
| Automatic brain organ segmentation with 3D fully convolutional neural network for radiation therapy treatment planning H Duanmu, J Kim, P Kanakaraj, A Wang, J Joshua, J Kong, F Wang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 758-762, 2020 | 12 | 2020 |
| Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context LY Cai, HH Lee, NR Newlin, CI Kerley, P Kanakaraj, Q Yang, ... bioRxiv, 2023 | 6 | 2023 |
| 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 | 6 | 2020 |
| A unified single-stage learning model for estimating fiber orientation distribution functions on heterogeneous multi-shell diffusion-weighted mri T Yao, N Newlin, P Kanakaraj, LY Cai, K Ramadass, K Schilling, ... arXiv preprint arXiv:2303.16376, 2023 | 5 | 2023 |
| Mapping the impact of nonlinear gradient fields with noise on diffusion MRI P Kanakaraj, LY Cai, F Rheault, FC Yehe, BP Rogers, KG Schilling, ... Magnetic resonance imaging 98, 124-131, 2023 | 4 | 2023 |
| 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 | 2 | 2022 |
| Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation P Kanakaraj, CB Hansen, F Rheault, LY Cai, K Ramadass, BP Rogers, ... Medical Imaging 2022: Image Processing 12032, 1203203, 2022 | 2 | 2022 |
| Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI) V Nath, M Pizzolato, M Palombo, N Gyori, KG Schilling, CH Hansen, Y Qi, ... ISMRM & SMRT Annual Meeting, 2021 | 2 | 2021 |
| Registration-free distortion correction of diffusion weighted MRI KG Schilling, J Blaber, C Hansen, B Rogers, A Anderson, S Smith, ... PLoS One 15 (e0236418), 19.911784, 2020 | 2 | 2020 |
| MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal NR Newlin, ME Kim, P Kanakaraj, T Yao, T Hohman, KR Pechman, ... Magnetic Resonance Imaging, 2024 | 1 | 2024 |
| Efficient approximate signal reconstruction for correction of gradient nonlinearities in diffusion-weighted imaging P Kanakaraj, LY Cai, T Yao, F Rheault, BP Rogers, A Anderson, ... Magnetic Resonance Imaging 102, 20-25, 2023 | | 2023 |
| Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge G Girard, J Rafael-Patiño, R Truffet, DB Aydogan, N Adluru, VA Nair, ... NeuroImage 277, 120231, 2023 | | 2023 |
| Mapping the impact of approximate gradient nonlinearity fields correction on tractography P Kanakaraj, F Rheault, LY Cai, N Newlin, FC Yeh, BP Rogers, ... Medical Imaging 2023: Image Processing 12464, 501-510, 2023 | | 2023 |
| Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis S Bao, BD Boyd, P Kanakaraj, K Ramadass, FAC Meyer, Y Liu, WE Duett, ... Journal of Digital Imaging 35 (6), 1576-1589, 2022 | | 2022 |
