Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents. - Xiaojiao Xiao; Juanjuan Zhao; Yan Qiang; Jaron Chong; Xiaotang Yang; Ntikurako Guy-Fernand Kazihise; Bo Chen 013; Shuo Li 001 (MICCAI (2), 2019)

DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification. - Wenkai Yang; Juanjuan Zhao; Yan Qiang; Xiaotang Yang; Yunyun Dong; Qianqian Du; Guohua Shi; Muhammad Bilal Zia (MICCAI (4), 2019)

Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI. - Jiawen Wang; Yanfen Cui; Guohua Shi; Juanjuan Zhao; Xiaotang Yang; Yan Qiang; Qianqian Du; Yue Ma; Ntikurako Guy-Fernand Kazihise (Appl. Intell., 2020)

Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification. - Guohua Shi; Jiawen Wang; Yan Qiang; Xiaotang Yang; Juanjuan Zhao; Rui Hao; Wenkai Yang; Qianqian Du; Ntikurako Guy-Fernand Kazihise (Comput. Methods Programs Biomed., 2020)

Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification. - Zijuan Zhao; Juanjuan Zhao; Kai Song 004; Akbar Hussain; Qianqian Du; Yunyun Dong; Jihua Liu; Xiaotang Yang (Eng. Appl. Artif. Intell., 2020)

Iterative PET image reconstruction using cascaded data consistency generative adversarial network. - Qianqian Du; Xueting Ren; Jiawen Wang; Yan Qiang; Xiaotang Yang; Ntikurako Guy-Fernand Kazihise (IET Image Process., 2020)

Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN. - Xiaojiao Xiao; Yan Qiang; Juanjuan Zhao; Xingyu Yang; Xiaotang Yang (IEEE Access, 2021)

Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images. - Wenkai Yang; Yunyun Dong; Qianqian Du; Yan Qiang; Kun Wu 005; Juanjuan Zhao; Xiaotang Yang; Muhammad Bilal Zia (Eng. Appl. Artif. Intell., 2021)

Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors. - Chunhai Yu; Ting Li; Xiaotang Yang; Ruiping Zhang; Lei Xin; Zhikai Zhao; Jingjing Cui (BMC Medical Imaging, 2022)

Improved U-Net based on contour prediction for efficient segmentation of rectal cancer. - Dengao Li; Xiaohui Chu; Yanfen Cui; Jumin Zhao; Kenan Zhang; Xiaotang Yang (Comput. Methods Programs Biomed., 2022)

Improved heterogeneous data fusion and multi-scale feature selection method for lung cancer subtype classification. - Yanan Zhang; Juanjuan Zhao; Yan Qiang; Xiaotang Yang; Wei Wu; Liye Jia (Concurr. Comput. Pract. Exp., 2022)

Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior. - Huiting Zhang; Xiaotang Yang; Dengao Li; Yanfen Cui; Jumin Zhao; Shuang Qiu (J. Biomed. Informatics, 2023)

Joint-phase attention network for breast cancer segmentation in DCE-MRI. - Rian Huang; Zeyan Xu; Yu Xie; Hong Wu; Zixian Li; Yanfen Cui; Yingwen Huo; Chu Han; Xiaotang Yang; Zaiyi Liu; Yi Wang 031 (Expert Syst. Appl., 2023)

RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance. - Dengao Li; Juan Wang; Jicheng Yang; Jumin Zhao; Xiaotang Yang; Yanfen Cui; Kenan Zhang (Comput. Methods Programs Biomed., 2023)

A novel GAN-based three-axis mutually supervised super-resolution reconstruction method for rectal cancer MR image. - Huiting Zhang; Xiaotang Yang; Yanfen Cui; Qiang Wang 042; Jumin Zhao; Dengao Li (Comput. Methods Programs Biomed., 2024)

Imaging segmentation mechanism for rectal tumors using improved U-Net. - Kenan Zhang; Xiaotang Yang; Yanfen Cui; Jumin Zhao; Dengao Li (BMC Medical Imaging, 2024)

Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning. - Huiting Zhang; Xiaotang Yang; Shuang Qiu; Yanfen Cui; Qiang Wang 042; Jumin Zhao; Dengao Li (Expert Syst. Appl., 2025)

Human in the Loop Automation: Ride-Hailing with Remote (Tele-)Drivers. - Saif Benjaafar; Zicheng Wang; Xiaotang Yang (Manag. Sci., 2025)