| Plug-and-play methods provably converge with properly trained denoisers E Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin International Conference on Machine Learning, 5546-5557, 2019 | 345 | 2019 |
| Estimating the non-homogeneous elastic modulus distribution from surface deformations Y Mei, R Fulmer, V Raja, S Wang, S Goenezen International Journal of Solids and Structures 83, 73-80, 2016 | 44 | 2016 |
| Mechanics based tomography: a preliminary feasibility study Y Mei, S Wang, X Shen, S Rabke, S Goenezen Sensors 17 (5), 1075, 2017 | 22 | 2017 |
| Segmentation-aware image denoising without knowing true segmentation S Wang, B Wen, J Wu, D Tao, Z Wang arXiv preprint arXiv:1905.08965, 2019 | 19 | 2019 |
| Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation X Jia, S Wang, X Liang, A Balagopal, D Nguyen, M Yang, Z Wang, X Qian, ... 22nd International Conference on Medical Image Computing and Computer …, 2019 | 17 | 2019 |
| Erratum: Mei, Y., et al. Mechanics Based Tomography: A Preliminary Feasibility Study. Sensors 2017, 17, 1075 Y Mei, S Wang, X Shen, S Rabke, S Goenezen Sensors 18 (2), 384, 2018 | 4 | 2018 |
| Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity J Shen, S Wang, Z Wang 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 399-402, 2018 | | 2018 |
| Mechanics Based Tomography: A Preliminary Feasibility Study (vol 17, 1075, 2017) Y Mei, S Wang, X Shen, S Rabke, S Goenezen SENSORS 18 (2), 2018 | | 2018 |
| Identifying the elastic property distribution of soft solids quantitatively from limited known displacements on boundaries: A theoretical study S Goenezen, Y Mei, S Wang 5-th International Conference on Computational and Mathematical Biomedical …, 2017 | | 2017 |
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
