Wang S - Search Results

1

A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.

Huang W, Yang H, Liu X, Li C, Zhang I, Wang R, Zheng H, Wang S. Huang W, et al. Among authors: wang s, wang r. IEEE Trans Med Imaging. 2021 Oct;40(10):2589-2599. doi: 10.1109/TMI.2021.3059282. Epub 2021 Sep 30. IEEE Trans Med Imaging. 2021. PMID: 33577451

2

Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating.

Liu Q, Wang S, Yang K, Luo J, Zhu Y, Liang D. Liu Q, et al. Among authors: wang s. IEEE Trans Med Imaging. 2013 Jul;32(7):1290-301. doi: 10.1109/TMI.2013.2256464. Epub 2013 Apr 2. IEEE Trans Med Imaging. 2013. PMID: 23559032

3

Iterative feature refinement for accurate undersampled MR image reconstruction.

Wang S, Liu J, Liu Q, Ying L, Liu X, Zheng H, Liang D. Wang S, et al. Phys Med Biol. 2016 May 7;61(9):3291-316. doi: 10.1088/0031-9155/61/9/3291. Epub 2016 Apr 1. Phys Med Biol. 2016. PMID: 27032527

4

Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging.

Wang S, Tan S, Gao Y, Liu Q, Ying L, Xiao T, Liu Y, Liu X, Zheng H, Liang D. Wang S, et al. IEEE Trans Med Imaging. 2018 Jan;37(1):251-261. doi: 10.1109/TMI.2017.2746086. Epub 2017 Aug 29. IEEE Trans Med Imaging. 2018. PMID: 28866485

5

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.

Zhou Y, Xu J, Liu Q, Li C, Liu Z, Wang M, Zheng H, Wang S. Zhou Y, et al. Among authors: wang m, wang s. IEEE Trans Biomed Eng. 2018 Sep;65(9):1935-1942. doi: 10.1109/TBME.2018.2844188. Epub 2018 Jun 5. IEEE Trans Biomed Eng. 2018. PMID: 29993469

6

DIMENSION: Dynamic MR imaging with both k-space and spatial prior knowledge obtained via multi-supervised network training.

Wang S, Ke Z, Cheng H, Jia S, Ying L, Zheng H, Liang D. Wang S, et al. NMR Biomed. 2022 Apr;35(4):e4131. doi: 10.1002/nbm.4131. Epub 2019 Sep 4. NMR Biomed. 2022. PMID: 31482598

7

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.

Zhou Y, Huang W, Dong P, Xia Y, Wang S. Zhou Y, et al. Among authors: wang s. IEEE/ACM Trans Comput Biol Bioinform. 2021 May-Jun;18(3):940-950. doi: 10.1109/TCBB.2019.2939522. Epub 2021 Jun 3. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 31502985

8

AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms.

Sun H, Li C, Liu B, Liu Z, Wang M, Zheng H, Dagan Feng D, Wang S. Sun H, et al. Among authors: wang m, wang s. Phys Med Biol. 2020 Feb 28;65(5):055005. doi: 10.1088/1361-6560/ab5745. Phys Med Biol. 2020. PMID: 31722327

9

MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer.

Jiang X, Li J, Kan Y, Yu T, Chang S, Sha X, Zheng H, Luo Y, Wang S. Jiang X, et al. Among authors: wang s. IEEE/ACM Trans Comput Biol Bioinform. 2021 May-Jun;18(3):995-1002. doi: 10.1109/TCBB.2019.2963867. Epub 2021 Jun 3. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 31905143

10

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.

Li C, Xu J, Liu Q, Zhou Y, Mou L, Pu Z, Xia Y, Zheng H, Wang S. Li C, et al. Among authors: wang s. IEEE/ACM Trans Comput Biol Bioinform. 2021 May-Jun;18(3):1003-1013. doi: 10.1109/TCBB.2020.2970713. Epub 2021 Jun 3. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 32012021

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