Taohui Xiao

18 papers Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI.
CoRR
Mu Nan, Taohui Xiao, Ruoyou Wu, Shoujun Yu, Ye Li, Hairong Zheng, Shanshan Wang
2025 J jnl
Prior knowledge-based multi-task learning network for pulmonary nodule classification.
Comput. Medical Imaging Graph.
Peng Xue, Hang Lu, Yu Fu, Huizhong Ji, Meirong Ren, Taohui Xiao, Zhili Zhang, Enqing Dong
2024 — conf
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation.
CDMRI@MICCAI
Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang
2024 J jnl
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation.
CoRR
Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang
2024 J jnl
SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI.
CoRR
Taohui Xiao, Jian Cheng, Wenxin Fan, Enqing Dong, Hairong Zheng, Shanshan Wang
2023 J jnl
Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics.
Biomed. Signal Process. Control.
Yu Fu, Hong Zhang, Peng Xue, Meirong Ren, Taohui Xiao, Zhili Zhang, Yong Huang, Enqing Dong
2023 J jnl
Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules.
IEEE J. Biomed. Health Informatics
Yu Fu, Peng Xue, Taohui Xiao, Zhili Zhang, Youren Zhang, Enqing Dong
2022 J jnl
3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules.
Int. J. Imaging Syst. Technol.
Zhili Zhang, Taohui Xiao, Yu Fu, Yuqiang Gao, Meirong Ren, Wentao Cui, Enqing Dong
2021 J jnl
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data.
Biomed. Signal Process. Control.
Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng
2020 J jnl
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.
Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2020 — conf
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning.
ISBI
Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang
2019 J jnl
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.
CoRR
Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang
2019 — conf
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features.
ISICDM
Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang
2019 J jnl
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset.
CoRR
Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng
2019 — conf
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
MICCAI (3)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019 J jnl
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
CoRR
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019 J jnl
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising.
CoRR
Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang
2018 J jnl
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging.
IEEE Trans. Medical Imaging
Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang