Taohui Xiao

According to our database, Taohui Xiao authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation.

Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang

CoRR, 2024

2023

Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics.

Yu Fu, Hong Zhang, Peng Xue, Meirong Ren, Taohui Xiao, Zhili Zhang, Yong Huang, Enqing Dong

Biomed. Signal Process. Control., July, 2023

Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules.

Yu Fu, Peng Xue, Taohui Xiao, Zhili Zhang, Youren Zhang, Enqing Dong

IEEE J. Biomed. Health Informatics, 2023

2022

3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules.

Zhili Zhang, Taohui Xiao, Yu Fu, Yuqiang Gao, Meirong Ren, Wentao Cui, Enqing Dong

Int. J. Imaging Syst. Technol., 2022

2021

Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data.

Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng

Biomed. Signal Process. Control., 2021

2020

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI.

Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

Biomed. Signal Process. Control., 2020

Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning.

Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising.

Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang

CoRR, 2019

LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset.

Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng

CoRR, 2019

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

Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang

CoRR, 2019

Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.

Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features.

Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

2018

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

Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang

IEEE Trans. Medical Imaging, 2018