| Low dose CT image restoration using a database of image patches S Ha, K Mueller Physics in Medicine & Biology 60 (2), 869, 2015 | 38 | 2015 |
| GPU-accelerated forward and back-projections with spatially varying kernels for 3D DIRECT TOF PET reconstruction S Ha, S Matej, M Ispiryan, K Mueller IEEE transactions on nuclear science 60 (1), 166-173, 2013 | 35* | 2013 |
| Database‐assisted low‐dose CT image restoration W Xu, S Ha, K Mueller Medical physics 40 (3), 031109, 2013 | 27 | 2013 |
| A look-up table-based ray integration framework for 2-D/3-D forward and back projection in X-ray CT S Ha, K Mueller IEEE transactions on medical imaging 37 (2), 361-371, 2017 | 26 | 2017 |
| A data-driven approach to hue-preserving color-blending L Kühne, J Giesen, Z Zhang, S Ha, K Mueller IEEE Transactions on Visualization and Computer Graphics 18 (12), 2122-2129, 2012 | 25 | 2012 |
| Chimbuko: A workflow-level scalable performance trace analysis tool C Kelly, S Ha, K Huck, H Van Dam, L Pouchard, G Matyasfalvi, L Tang, ... ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and …, 2020 | 23 | 2020 |
| High-performance multi-mode ptychography reconstruction on distributed GPUs Z Dong, YLL Fang, X Huang, H Yan, S Ha, W Xu, YS Chu, SI Campbell, ... 2018 New York Scientific Data Summit (NYSDS), 1-5, 2018 | 22 | 2018 |
| Visual Analytics for Scientific Data in NSLS-II W Xu, S Ha, W Zhong, S Cheng, H Yan, KG Yager, K Mueller, X Huang, ... HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES: Volume 2 …, 2020 | 20 | 2020 |
| Resolving 500 nm axial separation by multi-slice X-ray ptychography X Huang, H Yan, Y He, M Ge, H Öztürk, YLL Fang, S Ha, M Lin, M Lu, ... Acta Crystallographica Section A: Foundations and Advances 75 (2), 336-341, 2019 | 12 | 2019 |
| Efficient area-based ray integration using summed area tables and regression models S Ha, H Li, K Mueller Proceedings of the 4th International Meeting on Image Formation in X-ray CT, 2016 | 11 | 2016 |
| GPU-accelerated incremental correlation clustering of large data with visual feedback E Papenhausen, B Wang, S Ha, A Zelenyuk, D Imre, K Mueller 2013 IEEE International Conference on Big Data, 63-70, 2013 | 11 | 2013 |
| Performance visualization for tau instrumented scientific workflows C Xie, W Xu Brookhaven National Lab.(BNL), Upton, NY (United States), 2018 | 10 | 2018 |
| A study of volume integration models for iterative cone-beam computed tomography S Ha, A Kumar, K Mueller Proceedings of the 13th Meeting on Fully 3D Image Reconstruction. Newport …, 2015 | 8 | 2015 |
| Efficiently GPU-accelerating long kernel convolutions in 3-D DIRECT TOF PET reconstruction via a kernel decomposition scheme S Ha, Z Zhang, K Mueller, S Matej Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE, 2866-2867, 2010 | 8 | 2010 |
| MultiSciView: Multivariate scientific X-ray image visual exploration with cross-data space views W Zhong, W Xu, KG Yager, GS Doerk, J Zhao, Y Tian, S Ha, C Xie, ... Visual Informatics 2 (1), 14-25, 2018 | 7 | 2018 |
| Metal artifact reduction in CT via ray profile correction S Ha, K Mueller Medical Imaging 2016: Physics of Medical Imaging 9783, 799-802, 2016 | 7 | 2016 |
| An algorithm to compute independent sets of voxels for parallelization of icd-based statistical iterative reconstruction S Ha, K Mueller The 13th International Meeting on Fully Three-Dimensional Image …, 2015 | 7 | 2015 |
| A GPU-accelerated multivoxel update scheme for iterative coordinate descent (ICD) optimization in statistical iterative CT reconstruction (SIR) S Ha, K Mueller IEEE Transactions on Computational Imaging 4 (3), 355-365, 2018 | 6 | 2018 |
| Low dose CT image restoration using a localized patch database S Ha, K Mueller 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013 | 6 | 2013 |
| Accelerated Computing for X-ray Ptychography at NSLS-II YLL Fang, S Ha, X Huang, H Yan, Z Dong, YS Chu, SI Campbell, W Xu, ... HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES: Volume 2 …, 2020 | 5 | 2020 |
Wei (Celia) XuBrookhaven National Laboratory確認したメール アドレス: bnl.gov