| Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy X Huang, J Fan, L Li, H Liu, R Wu, Y Wu, L Wei, H Mao, A Lal, P Xi, ... Nature biotechnology 36 (5), 451-459, 2018 | 539 | 2018 |
| Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network X Zhao, L Li, W Lu, S Tan Physics in Medicine & Biology 64 (1), 015011, 2018 | 184 | 2018 |
| Spatial-temporal [18F] FDG-PET features for predicting pathologic response of esophageal cancer to neoadjuvant chemoradiation therapy S Tan, S Kligerman, W Chen, M Lu, G Kim, S Feigenberg, WD D'Souza, ... International Journal of Radiation Oncology* Biology* Physics 85 (5), 1375-1382, 2013 | 177 | 2013 |
| The first MICCAI challenge on PET tumor segmentation M Hatt, B Laurent, A Ouahabi, H Fayad, S Tan, L Li, W Lu, V Jaouen, ... Medical image analysis 44, 177-195, 2018 | 170 | 2018 |
| Development and prospect of image multiscale geometric analysis LC Jiao, S Tan Acta Electronica Sinica 31 (Z1), 1975-1981, 2003 | 159 | 2003 |
| Deep learning for variational multimodality tumor segmentation in PET/CT L Li, X Zhao, W Lu, S Tan Neurocomputing 392, 277-295, 2020 | 152 | 2020 |
| Modeling pathologic response of esophageal cancer to chemoradiation therapy using spatial-temporal 18F-FDG PET features, clinical parameters, and demographics H Zhang, S Tan, W Chen, S Kligerman, G Kim, WD D'Souza, ... International Journal of Radiation Oncology* Biology* Physics 88 (1), 195-203, 2014 | 110 | 2014 |
| Iterative CBCT reconstruction using Hessian penalty T Sun, N Sun, J Wang, S Tan Physics in Medicine & Biology 60 (5), 1965, 2015 | 50 | 2015 |
| Statistical iterative CBCT reconstruction based on neural network B Chen, K Xiang, Z Gong, J Wang, S Tan IEEE transactions on medical imaging 37 (6), 1511-1521, 2018 | 46 | 2018 |
| Multivariate statistical models for image denoising in the wavelet domain S Tan, L Jiao International Journal of Computer Vision 75, 209-230, 2007 | 45 | 2007 |
| Adaptive region-growing with maximum curvature strategy for tumor segmentation in 18F-FDG PET S Tan, L Li, W Choi, MK Kang, W D D’Souza, W Lu Physics in Medicine & Biology 62 (13), 5383, 2017 | 42 | 2017 |
| Predicting pathologic tumor response to chemoradiotherapy with histogram distances characterizing longitudinal changes in 18F‐FDG uptake patterns S Tan, H Zhang, Y Zhang, W Chen, WD D'Souza, W Lu Medical physics 40 (10), 101707, 2013 | 38 | 2013 |
| Image regularizations based on the sparsity of corner points H Liu, S Tan IEEE Transactions on Image Processing 28 (1), 72-87, 2018 | 31 | 2018 |
| A protocol for structured illumination microscopy with minimal reconstruction artifacts J Fan, X Huang, L Li, S Tan, L Chen Biophysics Reports 5, 80-90, 2019 | 30 | 2019 |
| Ridgelet theory: from ridgelet transform to curvelet LC Jiao, S Tan, F Liu Chinese journal of engineering mathematics 22 (5), 761-773, 2005 | 30 | 2005 |
| SAR image classification based on immune clonal feature selection X Zhang, T Shan, L Jiao International Conference Image Analysis and Recognition, 504-511, 2004 | 26 | 2004 |
| Low-dose CBCT reconstruction using Hessian Schatten penalties L Liu, X Li, K Xiang, J Wang, S Tan IEEE transactions on medical imaging 36 (12), 2588-2599, 2017 | 23 | 2017 |
| Selective SVMs ensemble driven by immune clonal algorithm X Zhang, S Wang, T Shan, L Jiao Applications of Evolutionary Computing: EvoWorkkshops 2005: EvoBIO …, 2005 | 23 | 2005 |
| Variational PET/CT tumor co-segmentation integrated with PET restoration L Li, W Lu, Y Tan, S Tan IEEE transactions on radiation and plasma medical sciences 4 (1), 37-49, 2019 | 22 | 2019 |
| Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations L Li, J Wang, W Lu, S Tan Computer Vision and Image Understanding 155, 173-194, 2017 | 22 | 2017 |
