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2020 – today
- 2024
[i5]Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang:
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation. CoRR abs/2408.01944 (2024)- 2023
- [j6]Yu Fu
, Hong Zhang, Peng Xue, Meirong Ren, Taohui Xiao, Zhili Zhang, Yong Huang, Enqing Dong:
Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics. Biomed. Signal Process. Control. 84: 104815 (2023) - [j5]Yu Fu, Peng Xue, Taohui Xiao, Zhili Zhang, Youren Zhang, Enqing Dong:
Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. IEEE J. Biomed. Health Informatics 27(1): 109-120 (2023) - 2022
- [j4]Zhili Zhang, Taohui Xiao, Yu Fu, Yuqiang Gao, Meirong Ren, Wentao Cui, Enqing Dong:
3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules. Int. J. Imaging Syst. Technol. 32(5): 1727-1742 (2022) - 2021
- [j3]Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng:
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data. Biomed. Signal Process. Control. 68: 102579 (2021) - 2020
- [j2]Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomed. Signal Process. Control. 58: 101869 (2020) - [c3]Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang:
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. ISBI 2020: 1-5
2010 – 2019
- 2019
- [c2]Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang:
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. ISICDM 2019: 208-213 - [c1]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) 2019: 30-38 - [i4]Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang:
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. CoRR abs/1906.04359 (2019) - [i3]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR abs/1908.02054 (2019) - [i2]Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng:
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset. CoRR abs/1908.09140 (2019) - [i1]Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang:
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. CoRR abs/1910.06749 (2019) - 2018
- [j1]Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang:
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Trans. Medical Imaging 37(1): 251-261 (2018)
Coauthor Index
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