Dijia Wu

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Network

Feature Selection

Bone Segmentation

Top Venues

IEEE Trans. Medical Imaging

Publications

Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. IEEE Trans. Medical Imaging 43 (2) (2024)
Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) (2023)
Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. MICCAI (5) (2022)
Ke Wu, Dongdong Gu, Peihong Qi, Xiaohuan Cao, Dijia Wu, Lei Chen, Guoxiang Qu, Jiayu Wang, Xianpan Pan, Xuechun Wang, Yuntian Chen, Lizhou Chen, Zhong Xue, Jinhao Lyu
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 102 (2022)
Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang
Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. 120 (2021)
Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. MLMI@MICCAI (2021)
Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen
VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) (2021)
Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. MICCAI (5) (2021)
Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. MLMI@MICCAI (2021)
Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. MLMI@MICCAI (2021)
Yanliang Jin, Dijia Wu, Weisi Guo
Attention-Based LSTM with Filter Mechanism for Entity Relation Classification. Symmetry 12 (10) (2020)
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR (2020)
Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR (2020)
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39 (8) (2020)
Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39 (8) (2020)
Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR (2020)
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR (2020)
Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI (2020)
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Yanliang Jin, Can Luo, Weisi Guo, Jinfei Xie, Dijia Wu, Rui Wang
Text Classification Based on Conditional Reflection. IEEE Access 7 (2019)
Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao
Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. MLMI@MICCAI (2019)
Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, Dijia Wu
Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation. MICCAI (6) (2019)
Yanliang Jin, Jinfei Xie, Weisi Guo, Can Luo, Dijia Wu, Rui Wang
LSTM-CRF Neural Network With Gated Self Attention for Chinese NER. IEEE Access 7 (2019)
Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. MICCAI (3) (2019)
Minqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou
Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph. MLMI@MICCAI (2019)
Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. WACV (2016)
Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. IEEE Trans. Medical Imaging 34 (8) (2015)
Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou
Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. MICCAI (1) (2014)
Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. CoRR (2013)
Le Lu, Bing Jian, Dijia Wu, Matthias Wolf
A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. MLMI (2013)
Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf
Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. MCV (2013)
Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. MCV (2013)
Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andreas Wimmer, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images. CVPR (2012)
Dijia Wu, David Liu, Michael Sühling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou
Automatic detection of liver lesion from 3D computed tomography images. CVPR Workshops (2012)
Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen
A Cascade Learning Method for Liver Lesion Detection in CT Images. MCV (2012)
Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf
AdaBoost on low-rank PSD matrices for metric learning. CVPR (2011)
Dijia Wu, Kim L. Boyer
Markov random field based phase demodulation of interferometric images. Comput. Vis. Image Underst. 115 (6) (2011)
Kim L. Boyer, Dijia Wu
Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry. MCPR (2011)
Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou
Automatic Contrast Phase Estimation in CT Volumes. MICCAI (3) (2011)
Dijia Wu, Kim L. Boyer
Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis. CVPR (2010)
Dijia Wu, Kim L. Boyer, Jason J. Nichols, Peter E. King-Smith
Texture based prelens tear film segmentation in interferometry images. Mach. Vis. Appl. 21 (3) (2010)
Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff
Stratified learning of local anatomical context for lung nodules in CT images. CVPR (2010)
Dijia Wu, Kim L. Boyer
Resilient Subclass Discriminant Analysis. ICCV (2009)
Dijia Wu, Jinbo Bi, Kim L. Boyer
A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR (2009)
Cong Shi, Zongwang Li, Dijia Wu, Wentao Song, Hanwen Luo
Turbo product codes on frequency selective fading channel. VTC Spring (2002)