| 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 | 9 | 2023 |
| 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 | 8 | 2023 |
| Comparing voxel-and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging NR Newlin, LY Cai, T Yao, D Archer, KR Pechman, KG Schilling, ... Proceedings of SPIE--the International Society for Optical Engineering 12464 …, 2023 | 8 | 2023 |
| Characterizing streamline count invariant graph measures of structural connectomes NR Newlin, F Rheault, KG Schilling, BA Landman Journal of Magnetic Resonance Imaging 58 (4), 1211-1220, 2023 | 7 | 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 | 6 | 2023 |
| DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images P Kanakaraj, T Yao, LY Cai, HH Lee, NR Newlin, ME Kim, C Gao, ... Neuroinformatics 22 (2), 193-205, 2024 | 4 | 2024 |
| Implementation considerations for deep learning with diffusion MRI streamline tractography LY Cai, HH Lee, NR Newlin, ME Kim, D Moyer, F Rheault, KG Schilling, ... bioRxiv, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| Predicting age from white matter diffusivity with residual learning C Gao, ME Kim, HH Lee, Q Yang, NM Khairi, P Kanakaraj, NR Newlin, ... ArXiv, arXiv: 2311.03500 v2, 2024 | 3 | 2024 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| Evaluation of mean shift, ComBat, and CycleGAN for harmonizing brain connectivity matrices across sites H Xu, NR Newlin, ME Kim, C Gao, P Kanakaraj, AR Krishnan, ... Proceedings of SPIE--the International Society for Optical Engineering 12926 …, 2024 | 2 | 2024 |
| 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 111, 113-119, 2024 | 1 | 2024 |
| Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets ME Kim, K Ramadass, C Gao, P Kanakaraj, NR Newlin, G Rudravaram, ... arXiv preprint arXiv:2408.14611, 2024 | 1 | 2024 |
| Harmonized connectome resampling for variance in voxel sizes EM McMaster, NR Newlin, G Rudravaram, AM Saunders, AR Krishnan, ... arXiv preprint arXiv:2408.01351, 2024 | 1 | 2024 |
| Field-of-view extension for brain diffusion MRI via deep generative models C Gao, S Bao, ME Kim, NR Newlin, P Kanakaraj, T Yao, G Rudravaram, ... Journal of Medical Imaging 11 (4), 044008-044008, 2024 | 1 | 2024 |
| Learning site-invariant features of connectomes to harmonize complex network measures NR Newlin, P Kanakaraj, T Li, K Pechman, D Archer, A Jefferson, ... Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 608-616, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross‐Sectional Datasets Across the Lifespan KG Schilling, K Ramadass, V Sairanen, ME Kim, F Rheault, N Newlin, ... Human Brain Mapping 46 (3), e70143, 2025 | | 2025 |
| Deep learning-based free-water correction for single-shell diffusion MRI T Yao, DB Archer, P Kanakaraj, N Newlin, S Bao, D Moyer, K Schilling, ... Magnetic Resonance Imaging, 110326, 2025 | | 2025 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα vanderbilt.edu