Wang S - Search Results

1

SelfCoLearn: Self-Supervised Collaborative Learning for Accelerating Dynamic MR Imaging.

Zou J, Li C, Jia S, Wu R, Pei T, Zheng H, Wang S. Zou J, et al. Among authors: wang s. Bioengineering (Basel). 2022 Nov 4;9(11):650. doi: 10.3390/bioengineering9110650. Bioengineering (Basel). 2022. PMID: 36354561 Free PMC article.

2

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

3

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

4

Improved parallel image reconstruction using feature refinement.

Cheng J, Jia S, Ying L, Liu Y, Wang S, Zhu Y, Li Y, Zou C, Liu X, Liang D. Cheng J, et al. Among authors: wang s. Magn Reson Med. 2018 Jul;80(1):211-223. doi: 10.1002/mrm.27024. Epub 2017 Nov 28. Magn Reson Med. 2018. PMID: 29193299 Free article.

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

ACCELERATING MAGNETIC RESONANCE IMAGING VIA DEEP LEARNING.

Wang S, Su Z, Ying L, Peng X, Zhu S, Liang F, Feng D, Liang D. Wang S, et al. Proc IEEE Int Symp Biomed Imaging. 2016 Apr;2016:514-517. doi: 10.1109/ISBI.2016.7493320. Epub 2016 Jun 16. Proc IEEE Int Symp Biomed Imaging. 2016. PMID: 31709031 Free PMC article.

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

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

10

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.

Wang S, Cheng H, Ying L, Xiao T, Ke Z, Zheng H, Liang D. Wang S, et al. Magn Reson Imaging. 2020 May;68:136-147. doi: 10.1016/j.mri.2020.02.002. Epub 2020 Feb 8. Magn Reson Imaging. 2020. PMID: 32045635

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