DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks. - Xiuyuan Xu; Quan Guo; Jixiang Guo; Zhang Yi 001 (IEEE Access, 2018)

Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. - Tao He; Jixiang Guo; Jianyong Wang 002; Xiuyuan Xu; Zhang Yi 001 (SegTHOR@ISBI, 2019)

DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images. - Sihang Chen; Jixiang Guo; Chengdi Wang; Xiuyuan Xu; Zhang Yi 001; Weimin Li 003 (J. Medical Syst., 2019)

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images. - Xiuyuan Xu; Chengdi Wang; Jixiang Guo; Lan Yang; Hongli Bai; Weimin Li 003; Zhang Yi 001 (Knowl. Based Syst., 2020)

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. - Xiuyuan Xu; Chengdi Wang; Jixiang Guo; Yuncui Gan; Jianyong Wang 002; Hongli Bai; Lei Zhang 005; Weimin Li 003; Zhang Yi 001 (Medical Image Anal., 2020)

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction. - Tao He; Jixiang Guo; Nan Chen; Xiuyuan Xu; Zihuai Wang; Kaiyu Fu; Lunxu Liu; Zhang Yi 001 (IEEE J. Biomed. Health Informatics, 2020)

Application of Internet Plus: TCM Clinical Intelligent Decision Making. - Jun Xie; Sijie Dang; Xiuyuan Xu; Jixiang Guo; Xiaozhi Zhang; Zhang Yi 001 (ICSI (2), 2021)

RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning. - Jinxin Liu; Chengdi Wang; Jixiang Guo; Jun Shao; Xiuyuan Xu; Xiaoxin Liu; Hongxia Li; Weimin Li 003; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2021)

Automatic airway tree segmentation based on multi-scale context information. - Kai Zhou; Nan Chen; Xiuyuan Xu; Zihuai Wang; Jixiang Guo; Lunxu Liu; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2021)

Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks. - Qiuyu Du; Shufan Liang; Jixiang Guo; Zhang Yi 001; Weiming Li; Chengdi Wang; Xiuyuan Xu (CICAI (2), 2022)

Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories. - Le Yi; Lei Zhang 005; Xiuyuan Xu; Jixiang Guo (IEEE Trans. Medical Imaging, 2023)

The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks. - Quan Guo; Chengdi Wang; Jixiang Guo; Hongli Bai; Xiuyuan Xu; Lan Yang; Jianyong Wang 002; Nan Chen; Zihuai Wang; Yuncui Gan; Lunxu Liu; Weimin Li 003; et al. (Comput. Methods Programs Biomed., 2023)

A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation. - Zunyun Ke; Xiuyuan Xu; Kai Zhou; Jixiang Guo (Appl. Intell., 2023)

Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment. - Lingyu Zhou; Zhang Yi 001; Kai Zhou; Xiuyuan Xu (MICCAI (5), 2024)

ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging. - Tianzhong Lan; Fanxin Zeng; Zhang Yi 001; Xiuyuan Xu; Min Zhu 005 (IEEE J. Biomed. Health Informatics, 2024)

A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations. - Xiuyuan Xu; Haiying Luo; Zhang Yi 001; Haixian Zhang (Int. J. Neural Syst., 2024)

Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics. - Hao Niu; Linjing Li; Bo Yuan; Min Zhu 005; Xiuyuan Xu; Xi Lu; Fengming Luo; Zhang Yi 001 (Int. J. Comput. Intell. Syst., 2024)

Learning from certain regions of interest in medical images via probabilistic positive-unlabeled networks. - Le Yi; Lei Zhang 005; Kefu Zhao; Xiuyuan Xu (Medical Image Anal., 2025)