Dijia Wu

发表

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

Weisi Guo, Yanliang Jin, Jinfei Xie, 2019, IEEE Access.

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

Qian Wang, Shaohua Kevin Zhou, Dijia Wu, 2015, IEEE Transactions on Medical Imaging.

AdaBoost on low-rank PSD matrices for metric learning

Jinbo Bi, Le Lu, Dijia Wu, 2011, CVPR 2011.

Turbo product codes on frequency selective fading channel

Zongwang Li, Cong Shi, Dijia Wu, 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

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

Kim L. Boyer, Jinbo Bi, Dijia Wu, 2009, CVPR.

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

Yaozong Gao, Dijia Wu, Dinggang Shen, 2020, ArXiv.

Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry

Kim L. Boyer, Dijia Wu, K. Boyer, 2011, MCPR.

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation

Qin Liu, Yiqiang Zhan, Dijia Wu, 2019, MICCAI.

Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph

Qin Liu, Yiqiang Zhan, Dijia Wu, 2019, MLMI@MICCAI.

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization

Ronald M. Summers, Nathan Lay, Le Lu, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Texture based prelens tear film segmentation in interferometry images

Kim L. Boyer, Dijia Wu, Jason J. Nichols, 2010, Machine Vision and Applications.

Resilient Subclass Discriminant Analysis

Kim L. Boyer, Dijia Wu, K. Boyer, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Automatic detection of liver lesion from 3D computed tomography images

Shaohua Kevin Zhou, Dijia Wu, Christian Tietjen, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images

Chao Lu, Shaohua Kevin Zhou, Dijia Wu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

A Cascade Learning Method for Liver Lesion Detection in CT Images

Shaohua Kevin Zhou, Dijia Wu, Christian Tietjen, 2012, MCV.

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

Le Lu, Dijia Wu, Yefeng Zheng, 2013, MCV.

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images pdf

Kim L. Boyer, Quan Wang, Shaohua Kevin Zhou, 2013, MCV.

Stratified learning of local anatomical context for lung nodules in CT images

Kim L. Boyer, Jinbo Bi, Le Lu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

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

Le Lu, Dijia Wu, Matthias Wolf, 2013, MLMI.

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

Kim L. Boyer, Dijia Wu, K. Boyer, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection

Yaozong Gao, Yiqiang Zhan, Dijia Wu, 2019, MLMI@MICCAI.

Attention-Based LSTM with Filter Mechanism for Entity Relation Classification

Yanliang Jin, Dijia Wu, Weisi Guo, 2020, Symmetry.

Reduce slice spacing of MR images by super-resolution learned without ground-truth

Dijia Wu, Zhong Xue, Lichi Zhang, 2020 .

Markov random field based phase demodulation of interferometric images

Kim L. Boyer, Dijia Wu, 2011, Comput. Vis. Image Underst..

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization

Qian Wang, Yiqiang Zhan, Dijia Wu, 2019, MICCAI.

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling

Qian Wang, Feng Shi, Yiqiang Zhan, 2020, MLMI@MICCAI.

Automatic and reliable segmentation of spinal canals in low-resolution, low-contrast CT images

Dinggang Shen, Le Lu, Dijia Wu, 2014 .

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

Shaohua Kevin Zhou, Dijia Wu, Neil Birkbeck, 2014, MICCAI.

Automatic Contrast Phase Estimation in CT Volumes

Shaohua Kevin Zhou, Dijia Wu, Christian Tietjen, 2011, MICCAI.

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

Yaozong Gao, Qi Yang, Xiaohuan Cao, 2020, IEEE Transactions on Medical Imaging.

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

Kim L. Boyer, Jinbo Bi, Dijia Wu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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

Yaozong Gao, Dijia Wu, Dinggang Shen, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Dijia Wu, Changqing Zhang, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Interferometric video analysis for prelens tear film surface reconstruction of the human eye

Dijia Wu, 2010 .

Text Classification Based on Conditional Reflection

Weisi Guo, Yanliang Jin, Jinfei Xie, 2019, IEEE Access.

Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification

Yaozong Gao, Dinggang Shen, Feng Shi, 2021, Physics in medicine and biology.