| Multiatlas segmentation BA Landman, I Lyu, Y Huo, AJ Asman Handbook of medical image computing and computer assisted intervention, 137-164, 2020 | 4 | 2020 |
| Image segmentation via multi-atlas fusion with context learning M Patel, P Kelly, M Smith, A Plassard, B Landman, RG Abramsom, ... US Patent 10,402,981, 2019 | 5 | 2019 |
| Simultaneous total intracranial volume and posterior fossa volume estimation using multi‐atlas label fusion Y Huo, AJ Asman, AJ Plassard, BA Landman Human brain mapping 38 (2), 599-616, 2017 | 38 | 2017 |
| Multi-atlas learner fusion: An efficient segmentation approach for large-scale data AJ Asman, Y Huo, AJ Plassard, BA Landman Medical image analysis 26 (1), 82-91, 2015 | 52 | 2015 |
| Quantitative CT imaging of ventral hernias: preliminary validation of an anatomical labeling protocol Z Xu, AJ Asman, RB Baucom, RG Abramson, BK Poulose, BA Landman PloS one 10 (10), e0141671, 2015 | 17 | 2015 |
| Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1,003 with external cross-validation AJ Plassard, PD Kelly, AJ Asman, H Kang, MB Patel, BA Landman Medical Imaging 2015: Image Processing 9413, 141-148, 2015 | 4 | 2015 |
| Robust optic nerve segmentation on clinically acquired computed tomography RL Harrigan, S Panda, AJ Asman, KM Nelson, S Chaganti, MP DeLisi, ... Journal of Medical Imaging 1 (3), 034006-034006, 2014 | 40 | 2014 |
| Hierarchical performance estimation in the statistical label fusion framework AJ Asman, BA Landman Medical image analysis 18 (7), 1070-1081, 2014 | 52 | 2014 |
| Evaluation of multiatlas label fusion for in vivo magnetic resonance imaging orbital segmentation S Panda, AJ Asman, SP Khare, L Thompson, LA Mawn, SA Smith, ... Journal of Medical Imaging 1 (2), 024002-024002, 2014 | 17 | 2014 |
| Groupwise multi-atlas segmentation of the spinal cord’s internal structure AJ Asman, FW Bryan, SA Smith, DS Reich, BA Landman Medical image analysis 18 (3), 460-471, 2014 | 72 | 2014 |
| Applying the algorithm" assessing quality using image registration circuits"(aquirc) to multi-atlas segmentation R Datteri, AJ Asman, BA Landman, BM Dawant Medical Imaging 2014: Image Processing 9034, 355-361, 2014 | 8 | 2014 |
| Shape-constrained multi-atlas segmentation of spleen in CT Z Xu, B Li, S Panda, AJ Asman, KL Merkle, PL Shanahan, RG Abramson, ... Medical Imaging 2014: Image Processing 9034, 1092-1097, 2014 | 20 | 2014 |
| Robust optic nerve segmentation on clinically acquired CT S Panda, AJ Asman, MP DeLisi, LA Mawn, RL Galloway, BA Landman Proceedings of SPIE--the International Society for Optical Engineering 9034 …, 2014 | 23 | 2014 |
| Statistical label fusion with hierarchical performance models AJ Asman, AS Dagley, BA Landman Proceedings of SPIE--the International Society for Optical Engineering 9034 …, 2014 | 24 | 2014 |
| Self‐assessed performance improves statistical fusion of image labels FW Bryan, Z Xu, AJ Asman, WM Allen, DS Reich, BA Landman Medical physics 41 (3), 031903, 2014 | 6 | 2014 |
| SIMPLE is a good idea (and better with context learning) Z Xu, AJ Asman, PL Shanahan, RG Abramson, BA Landman Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 13 | 2014 |
| Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications AJ Asman Vanderbilt University, 2014 | | 2014 |
| Simultaneous analysis and quality assurance for diffusion tensor imaging CB Lauzon, AJ Asman, ML Esparza, SS Burns, Q Fan, Y Gao, ... PloS one 8 (4), e61737, 2013 | 66 | 2013 |
| Out‐of‐atlas likelihood estimation using multi‐atlas segmentation AJ Asman, LB Chambless, RC Thompson, BA Landman Medical physics 40 (4), 043702, 2013 | 15 | 2013 |
| Robust inter-modality multi-atlas segmentation for PACS-based DTI quality control AJ Asman, CB Lauzon, BA Landman Medical Imaging 2013: Advanced PACS-based Imaging Informatics and …, 2013 | 3 | 2013 |
