| 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 |
| Assessment of bias for MRI diffusion tensor imaging using SIMEX CB Lauzon, AJ Asman, C Crainiceanu, BC Caffo, BA Landman Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 9 | 2011 |
| Characterizing and optimizing rater performance for internet-based collaborative labeling JA Stein, AJ Asman, BA Landman Medical Imaging 2011: Image Perception, Observer Performance, and Technology …, 2011 | 4 | 2011 |
| Characterizing spatially varying performance to improve multi-atlas multi-label segmentation AJ Asman, BA Landman Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 42 | 2011 |
| Collaborative labeling of malignant glioma Z Xu, AJ Asman, E Singh, L Chambless, R Thompson, BA Landman 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1148-1151, 2012 | 7 | 2012 |
| Collaborative labeling of malignant glioma with WebMILL: a first look E Singh, AJ Asman, Z Xu, L Chambless, R Thompson, BA Landman Medical Imaging 2012: Image Perception, Observer Performance, and Technology …, 2012 | 1 | 2012 |
| Estimation of registration accuracy applied to multi-atlas segmentation RD Datteri, A Asman, B Landman, B Dawant MICCAI Workshop on Multi-Atlas Labeling and Statistical Fusion, 78-87, 2011 | 16 | 2011 |
| 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 |
| Finding seeds for segmentation using statistical fusion F Xing, AJ Asman, JL Prince, BA Landman Proceedings of Spie--the International Society for Optical Engineering 8314, 2012 | 5 | 2012 |
| Foibles, follies, and fusion: assessment of statistical label fusion techniques for web-based collaborations using minimal training AJ Asman, AG Scoggins, JL Prince, BA Landman Medical Imaging 2011: Image Processing 7962, 1109-1116, 2011 | 5 | 2011 |
| Foibles, follies, and fusion: Web-based collaboration for medical image labeling BA Landman, AJ Asman, AG Scoggins, JA Bogovic, JA Stein, JL Prince NeuroImage 59 (1), 530-539, 2012 | 15 | 2012 |
| Formulating spatially varying performance in the statistical fusion framework AJ Asman, BA Landman IEEE transactions on medical imaging 31 (6), 1326-1336, 2012 | 135 | 2012 |
| Generalized statistical label fusion using multiple consensus levels Z Xu, AJ Asman, BA Landman Medical Imaging 2012: Image Processing 8314, 303-310, 2012 | 2 | 2012 |
| 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 |
| Hierarchical performance estimation in the statistical label fusion framework AJ Asman, BA Landman Medical image analysis 18 (7), 1070-1081, 2014 | 52 | 2014 |
| 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 |
| Miccai 2013 segmentation algorithms, theory and applications (SATA) challenge results summary A Asman, A Akhondi-Asl, H Wang, N Tustison, B Avants, SK Warfield, ... MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and …, 2013 | 36 | 2013 |
| 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 |
| Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications AJ Asman Vanderbilt University, 2014 | | 2014 |
| Multi-atlas segmentation using non-local STAPLE AJ Asman, BA Landman MICCAI Workshop on Multi-Atlas Labeling, 87-90, 2012 | 14 | 2012 |
