| 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 | 63 | 2021 |
| Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle … KG Schilling, CMW Tax, F Rheault, C Hansen, Q Yang, FC Yeh, L Cai, ... Neuroimage 242, 118451, 2021 | 42 | 2021 |
| 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 | 31 | 2022 |
| UNesT: local spatial representation learning with hierarchical transformer for efficient medical segmentation X Yu, Q Yang, Y Zhou, LY Cai, R Gao, HH Lee, T Li, S Bao, Z Xu, ... Medical Image Analysis 90, 102939, 2023 | 26 | 2023 |
| 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 | 26* | 2021 |
| Pandora: 4-D white matter bundle population-based atlases derived from diffusion MRI fiber tractography CB Hansen, Q Yang, I Lyu, F Rheault, C Kerley, BQ Chandio, S Fadnavis, ... Neuroinformatics 19, 447-460, 2021 | 22 | 2021 |
| Automatic coronary artery segmentation in X-ray angiograms by multiple convolutional neural networks S Yang, J Yang, Y Wang, Q Yang, D Ai, Y Wang Proceedings of the 3rd international conference on multimedia and image …, 2018 | 20 | 2018 |
| Iterative closest graph matching for non-rigid 3D/2D coronary arteries registration J Zhu, H Li, D Ai, Q Yang, J Fan, Y Huang, H Song, Y Han, J Yang Computer Methods and Programs in Biomedicine 199, 105901, 2021 | 12 | 2021 |
| Label efficient segmentation of single slice thigh CT with two-stage pseudo labels Q Yang, X Yu, HH Lee, Y Tang, S Bao, KS Gravenstein, AZ Moore, ... Journal of Medical Imaging 9 (5), 052405-052405, 2022 | 11 | 2022 |
| Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas HH Lee, Y Tang, S Bao, Y Xu, Q Yang, X Yu, AB Fogo, R Harris, ... Medical Imaging 2022: Image Processing 12032, 736-743, 2022 | 10 | 2022 |
| Learning white matter subject‐specific segmentation from structural MRI Q Yang, CB Hansen, LY Cai, F Rheault, HH Lee, S Bao, BQ Chandio, ... Medical physics 49 (4), 2502-2513, 2022 | 8 | 2022 |
| A mobilized automatic human body measure system using neural network L Xia, J Yang, T Han, H Xu, Q Yang, Y Zhao, Y Wang Multimedia Tools and Applications 78, 11291-11311, 2019 | 8 | 2019 |
| Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation HH Lee, Y Tang, Q Yang, X Yu, LY Cai, LW Remedios, S Bao, ... IEEE journal of biomedical and health informatics, 2023 | 7* | 2023 |
| Quantification of muscle, bones, and fat on single slice thigh CT Q Yang, X Yu, HH Lee, Y Tang, S Bao, KS Gravenstein, AZ Moore, ... Medical Imaging 2022: Image Processing 12032, 422-429, 2022 | 7 | 2022 |
| Scaling up 3d kernels with bayesian frequency re-parameterization for medical image segmentation HH Lee, Q Liu, S Bao, Q Yang, X Yu, LY Cai, TZ Li, Y Huo, X Koutsoukos, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| Pancreas CT segmentation by predictive phenotyping Y Tang, R Gao, H Lee, Q Yang, X Yu, Y Zhou, S Bao, Y Huo, J Spraggins, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
| Single slice thigh CT muscle group segmentation with domain adaptation and self-training Q Yang, X Yu, HH Lee, LY Cai, K Xu, S Bao, Y Huo, AZ Moore, ... Journal of Medical Imaging 10 (4), 044001-044001, 2023 | 5 | 2023 |
| 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, ... Medical Imaging with Deep Learning, 2023, 2023 | 5 | 2023 |
| Reducing positional variance in cross-sectional abdominal ct slices with deep conditional generative models Q Yang, X Yu, Y Tang, R Gao, S Bao, LY Cai, HH Lee, Y Huo, AZ Moore, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Accelerating 2D abdominal organ segmentation with active learning X Yu, Y Tang, Q Yang, HH Lee, S Bao, AZ Moore, L Ferrucci, ... Medical Imaging 2022: Image Processing 12032, 893-899, 2022 | 5 | 2022 |
Bennett Allan LandmanElectrical and Computer Engineering, Vanderbilt UniversityVerified email at vanderbilt.edu
