Dijia Wu

According to our database, Dijia Wu authored at least 42 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation.

Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen

IEEE Trans. Medical Imaging, February, 2024

2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks.

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

Comput. Medical Imaging Graph., 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Reducing magnetic resonance image spacing by learning without ground-truth.

Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang

Pattern Recognit., 2021

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

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

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

IEEE Trans. Medical Imaging, 2020

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.

Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen

IEEE Trans. Medical Imaging, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.

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

IEEE J. Biomed. Health Informatics, 2020

Attention-Based LSTM with Filter Mechanism for Entity Relation Classification.

Yanliang Jin, Dijia Wu, Weisi Guo

Symmetry, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.

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

CoRR, 2020

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification.

Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen

CoRR, 2020

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

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

LSTM-CRF Neural Network With Gated Self Attention for Chinese NER.

Yanliang Jin, Jinfei Xie, Weisi Guo, Can Luo, Dijia Wu, Rui Wang

IEEE Access, 2019

Text Classification Based on Conditional Reflection.

Yanliang Jin, Can Luo, Weisi Guo, Jinfei Xie, Dijia Wu, Rui Wang

IEEE Access, 2019

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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection.

Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2016

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

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.

Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou

IEEE Trans. Medical Imaging, 2015

2014

Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning.

Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

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

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography.

Le Lu, Bing Jian, Dijia Wu, Matthias Wolf

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation.

Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

2012

A Cascade Learning Method for Liver Lesion Detection in CT Images.

Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Automatic detection of liver lesion from 3D computed tomography images.

Dijia Wu, David Liu, Michael Sühling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

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

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Markov random field based phase demodulation of interferometric images.

Dijia Wu, Kim L. Boyer

Comput. Vis. Image Underst., 2011

Automatic Contrast Phase Estimation in CT Volumes.

Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry.

Kim L. Boyer, Dijia Wu

Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

AdaBoost on low-rank PSD matrices for metric learning.

Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Texture based prelens tear film segmentation in interferometry images.

Dijia Wu, Kim L. Boyer, Jason J. Nichols, Peter E. King-Smith

Mach. Vis. Appl., 2010

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

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis.

Dijia Wu, Kim L. Boyer

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Resilient Subclass Discriminant Analysis.

Dijia Wu, Kim L. Boyer

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis.

Dijia Wu, Jinbo Bi, Kim L. Boyer

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2002

Turbo product codes on frequency selective fading channel.

Cong Shi, Zongwang Li, Dijia Wu, Wentao Song, Hanwen Luo

Proceedings of the 55th IEEE Vehicular Technology Conference, 2002