| 2023 | MICCAI | CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. | Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen |
| 2022 | MICCAI | Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. | Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen |
| 2021 | MICCAI | VertNet: Accurate Vertebra Localization and Identification Network from CT Images. | Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen |
| 2021 | MICCAI | Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. | Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen |
| 2021 | MICCAI | Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. | Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen |
| 2021 | MICCAI | Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. | Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. | Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen |
| 2020 | MICCAI | Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. | Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen |
| 2019 | MICCAI | Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation. | Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, Dijia Wu |
| 2019 | MICCAI | Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. | Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao |
| 2019 | MICCAI | Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. | Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang |
| 2019 | MICCAI | Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph. | Minqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou |
| 2016 | WACV | Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. | Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers |
| 2014 | MICCAI | Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. | Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou |
| 2013 | MICCAI | Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. | Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf |
| 2013 | MICCAI | A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. | Le Lu, Bing Jian, Dijia Wu, Matthias Wolf |
| 2013 | MICCAI | Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. | Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou |
| 2012 | CVPR | A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images. | Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andreas Wimmer, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou |
| 2012 | CVPR | Automatic detection of liver lesion from 3D computed tomography images. | Dijia Wu, David Liu, Michael Shling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou |
| 2012 | MICCAI | A Cascade Learning Method for Liver Lesion Detection in CT Images. | Dijia Wu, David Liu, Michael Shling, Shaohua Kevin Zhou, Christian Tietjen |
| 2011 | CVPR | AdaBoost on low-rank PSD matrices for metric learning. | Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf |
| 2011 | MICCAI | Automatic Contrast Phase Estimation in CT Volumes. | Michal Sofka, Dijia Wu, Michael Shling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou |
| 2010 | CVPR | Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis. | Dijia Wu, Kim L. Boyer |
| 2010 | CVPR | Stratified learning of local anatomical context for lung nodules in CT images. | Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff |
| 2009 | CVPR | A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. | Dijia Wu, Jinbo Bi, Kim L. Boyer |
| 2009 | ICCV | Resilient Subclass Discriminant Analysis. | Dijia Wu, Kim L. Boyer |
| 2002 | VTC | Turbo product codes on frequency selective fading channel. | Cong Shi, Zongwang Li, Dijia Wu, Wentao Song, Hanwen Luo |