Perception-aware Depth Cueing for Illustrative Vascular Visualization. - Alan Chu; Wing-Yin Chan; Jixiang Guo; Wai-Man Pang; Pheng-Ann Heng (BMEI (1), 2008)

A Novel FEM-Based Numerical Solver for Interactive Catheter Simulation in Virtual Catheterization. - Shun Li 003; Jing Qin 001; Jixiang Guo; Yim-Pan Chui; Pheng-Ann Heng (Int. J. Biomed. Imaging, 2011)

Xue guan jie ru fang she ji shu de mo ni. - Jixiang Guo (2011)

A Catheterization-Training Simulator Based on a Fast Multigrid Solver. - Shun Li 003; Jixiang Guo; Qiong Wang 001; Qiang Meng; Yim-Pan Chui; Jing Qin 001; Pheng-Ann Heng (IEEE Computer Graphics and Applications, 2012)

Mesh quality oriented 3D geometric vascular modeling based on parallel transport frame. - Jixiang Guo; Shun Li 003; Yim-Pan Chui; Jing Qin 001; Pheng-Ann Heng (Comput. Biol. Medicine, 2013)

A surgical simulation system for predicting facial soft tissue deformation. - Xiaodong Tang; Jixiang Guo; Peng Li; Jiancheng Lv 001 (Comput. Vis. Media, 2016)

Novel algorithms for reducing bladder volume estimation error caused by scanning positions. - Kang Li; Quan Guo; Jixiang Guo (Int. J. Comput. Math., 2017)

Cell tracking using deep neural networks with multi-task learning. - Tao He; Hua Mao; Jixiang Guo; Zhang Yi 001 (Image Vis. Comput., 2017)

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

Local feature based multi-view discriminant analysis. - Peng Hu 002; Dezhong Peng; Jixiang Guo; Liangli Zhen (Knowl. Based Syst., 2018)

Symmetric convolutional neural network for mandible segmentation. - Ming Yan 007; Jixiang Guo; Weidong Tian; Zhang Yi 001 (Knowl. Based Syst., 2018)

Classification model of restricted Boltzmann machine based on reconstruction error. - Jing Yin; Jiancheng Lv 001; Yongsheng Sang; Jixiang Guo (Neural Comput. Appl., 2018)

An Interactive System for Detection and Analysis of Mandibular Cystic Lesions. - Jixiang Guo; Lei Zhang 005; Yuanyuan Chen; Wei Tang (DASC/PiCom/DataCom/CyberSciTech, 2019)

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)

Diagnosis of Diabetic Retinopathy Using Deep Neural Networks. - Zhentao Gao; Jie Li; Jixiang Guo; Yuanyuan Chen; Zhang Yi 001; Jie Zhong (IEEE Access, 2019)

A collaborative contour detector by gradient and active contours for ultrasound kidney images. - Kang Li; Jixiang Guo; Zhang Yi 001 (Int. J. Comput. Math., 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)

An angle-based method for measuring the semantic similarity between visual and textual features. - Chenwei Tang; Jiancheng Lv 001; Yao Chen; Jixiang Guo (Soft Comput., 2019)

Multilabel classification by exploiting data-driven pair-wise label dependence. - Tao He; Lei Zhang 005; Jixiang Guo; Zhang Yi 001 (Int. J. Intell. Syst., 2020)

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)

Multi-task learning for the segmentation of organs at risk with label dependence. - Tao He; Junjie Hu 004; Ying Song; Jixiang Guo; Zhang Yi 001 (Medical Image Anal., 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)

Cephalometric landmark detection by considering translational invariance in the two-stage framework. - Tao He; Jie Yao; Weidong Tian; Zhang Yi 001; Wei Tang; Jixiang Guo (Neurocomputing, 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)

Metal artifact reduction for oral and maxillofacial computed tomography images by a generative adversarial network. - Lei Xu 044; Shanluo Zhou; Jixiang Guo; Weidong Tian; Wei Tang; Zhang Yi 001 (Appl. Intell., 2022)

An intelligent system for craniomaxillofacial defecting reconstruction. - Lei Xu 044; Yutao Xiong; Jixiang Guo; Wei Tang; Kelvin Kian Loong Wong; Zhang Yi 001 (Int. J. Intell. Syst., 2022)

Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning. - Xiaofeng Qi; Fasheng Yi; Lei Zhang 005; Yao Chen; Yong Pi; Yuanyuan Chen; Jixiang Guo; Jianyong Wang 002; Quan Guo; Jilan Li; Yi Chen; Qing Lv; et al. (Neurocomputing, 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)

Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images. - Tao He; Jixiang Guo; Wei Tang; Wei Zeng; Ping He; Fanxin Zeng; Zhang Yi 001 (Knowl. Based Syst., 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)

LatLRR-CNN: an infrared and visible image fusion method combining latent low-rank representation and CNN. - Yong Yang; Chengrui Gao; Zhangqiang Ming; Jixiang Guo; Edou Leopold; Junlong Cheng; Jie Zuo; Min Zhu 005 (Multim. Tools Appl., 2023)

An automatic methodology for full dentition maturity staging from OPG images using deep learning. - Wenxuan Dong; Meng You; Tao He; Jiaqi Dai; Yueting Tang; Yuchao Shi; Jixiang Guo (Appl. Intell., 2023)

Anchor Ball Regression Model for large-scale 3D skull landmark detection. - Tao He; Guikun Xu; Li Cui; Wei Tang; Jie Long; Jixiang Guo (Neurocomputing, 2024)

A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction. - Chenglan Zhong; Yutao Xiong; Wei Tang; Jixiang Guo (Int. J. Neural Syst., 2024)

DiffMAR: A Generalized Diffusion Model for Metal Artifact Reduction in CT Images. - Tianxiao Cai; Xiang Li; Chenglan Zhong; Wei Tang; Jixiang Guo (IEEE J. Biomed. Health Informatics, 2024)

A pseudo-3D coarse-to-fine architecture for 3D medical landmark detection. - Li Cui; Boyan Liu; Guikun Xu; Jixiang Guo; Wei Tang; Tao He (Neurocomputing, 2025)

Geological carbon dioxide storage and subsurface rock mechanics - geomechanical risks, modelling practices, and risk mitigation strategies. - Wyclif Kiyingi; Ruiying Xiong; Yan Jin; Jixiang Guo (Simul. Model. Pract. Theory, 2025)

Enhanced Landmark Detection in Oral and Maxillofacial CT and CBCT Scans: A Multistage Global-Local Integration Approach. - Hailin Zhu; Xiang Li; Tao He; Boyan Liu; Wei Tang; Jixiang Guo (IEEE Trans. Instrum. Meas., 2025)

Dense image-mask attention-guided transformer network for jaw lesions classification and segmentation in dental cone-beam computed tomography images. - Xiang Li; Wei Liu; Wei Tang; Jixiang Guo (Appl. Intell., 2025)