Shan Tan
Shan Tan
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
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Cited by
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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
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
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
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
Development and prospect of image multiscale geometric analysis
LC Jiao, S Tan
Acta Electronica Sinica 31 (Z1), 1975-1981, 2003
Deep learning for variational multimodality tumor segmentation in PET/CT
L Li, X Zhao, W Lu, S Tan
Neurocomputing 392, 277-295, 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
Iterative CBCT reconstruction using Hessian penalty
T Sun, N Sun, J Wang, S Tan
Physics in Medicine & Biology 60 (5), 1965, 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
Multivariate statistical models for image denoising in the wavelet domain
S Tan, L Jiao
International Journal of Computer Vision 75, 209-230, 2007
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
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
Ridgelet theory: from ridgelet transform to curvelet
LC Jiao, S Tan, F Liu
Chinese journal of engineering mathematics 22 (5), 761-773, 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
Image regularizations based on the sparsity of corner points
H Liu, S Tan
IEEE Transactions on Image Processing 28 (1), 72-87, 2018
Selective SVMs ensemble driven by immune clonal algorithm
X Zhang, S Wang, T Shan, L Jiao
Applications of Evolutionary Computing: EvoWorkkshops 2005: EvoBIO …, 2005
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
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
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
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
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