Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. - Shanshan Wang 002; Sha Tan; Yuan Gao; Qiegen Liu; Leslie Ying; Taohui Xiao; Yuanyuan Liu; Xin Liu 053; Hairong Zheng; Dong Liang 001 (IEEE Trans. Medical Imaging, 2018)

Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. - Taohui Xiao; Wenqing Hua; Cheng Li 008; Shanshan Wang 002 (ISICDM, 2019)

Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. - Yanxia Chen; Taohui Xiao; Cheng Li 008; Qiegen Liu; Shanshan Wang 002 (MICCAI (3), 2019)

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. - Shanshan Wang 002; Huitao Cheng; Leslie Ying; Taohui Xiao; Ziwen Ke; Xin Liu 053; Hairong Zheng; Dong Liang 001 (CoRR, 2019)

LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset. - Shanshan Wang 002; Yanxia Chen; Taohui Xiao; Ziwen Ke; Qiegen Liu; Hairong Zheng (CoRR, 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 001; Shanshan Wang 002 (CoRR, 2019)

Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. - Xiangshun Liu; Minghui Zhang; Qiegen Liu; Taohui Xiao; Hairong Zheng; Leslie Ying; Shanshan Wang 002 (ISBI, 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 002 (Biomed. Signal Process. Control., 2020)

Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data. - Shanshan Wang 002; Taohui Xiao; Qiegen Liu; Hairong Zheng (Biomed. Signal Process. Control., 2021)

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)

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)

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., 2023)

RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation. - Taohui Xiao; Jian Cheng 001; Wenxin Fan; Jing Yang; Cheng Li 008; Enqing Dong; Shanshan Wang 002 (CDMRI@MICCAI, 2024)

SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI. - Taohui Xiao; Jian Cheng 001; Wenxin Fan; Enqing Dong; Hairong Zheng; Shanshan Wang 002 (CoRR, 2024)

Prior knowledge-based multi-task learning network for pulmonary nodule classification. - Peng Xue; Hang Lu; Yu Fu; Huizhong Ji; Meirong Ren; Taohui Xiao; Zhili Zhang; Enqing Dong (Comput. Medical Imaging Graph., 2025)