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2020 – today
- 2024
[j12]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): 723-733 (2024)- [c29]Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Jiameng Liu, Zhiming Cui, Dijia Wu, Dinggang Shen:
Discontinuity-Aware Coronary Artery Segmentation on CCTA Image. ISBI 2024: 1-5 - 2023
- [c28]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: 670-680 - 2022
- [j11]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: 102126 (2022) - [c27]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: 391-400 - 2021
- [j10]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: 108103 (2021) - [c26]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: 281-290 - [c25]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: 439-448 - [c24]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: 537-545 - [c23]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: 546-554 - [c22]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: 576-585 - 2020
- [j9]Yanliang Jin, Dijia Wu, Weisi Guo:
Attention-Based LSTM with Filter Mechanism for Entity Relation Classification. Symmetry 12(10): 1729 (2020) - [j8]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): 2798-2805 (2020) - [j7]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): 2595-2605 (2020) - [j6]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): 2606-2614 (2020) - [c21]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: 474-483 - [i5]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 abs/2003.09860 (2020) - [i4]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 abs/2005.02690 (2020) - [i3]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 abs/2005.03227 (2020) - [i2]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 abs/2005.03264 (2020)
2010 – 2019
- 2019
- [j5]Yanliang Jin, Can Luo, Weisi Guo, Jinfei Xie, Dijia Wu, Rui Wang:
Text Classification Based on Conditional Reflection. IEEE Access 7: 76712-76719 (2019) - [j4]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: 136694-136703 (2019) - [c20]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: 65-73 - [c19]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: 86-94 - [c18]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: 444-452 - [c17]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: 681-689 - 2016
- [c16]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: 1-10 - 2015
- [j3]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): 1694-1704 (2015) - 2014
- [c15]Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou:
Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. MICCAI (1) 2014: 372-380 - 2013
- [c14]Le Lu, Bing Jian, Dijia Wu, Matthias Wolf:
A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. MLMI 2013: 57-65 - [c13]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: 105-115 - [c12]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: 161-174 - [i1]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 abs/1307.2965 (2013) - 2012
- [c11]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: 31-37 - [c10]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: 980-987 - [c9]Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen:
A Cascade Learning Method for Liver Lesion Detection in CT Images. MCV 2012: 206-214 - 2011
- [j2]Dijia Wu, Kim L. Boyer:
Markov random field based phase demodulation of interferometric images. Comput. Vis. Image Underst. 115(6): 759-770 (2011) - [c8]Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf:
AdaBoost on low-rank PSD matrices for metric learning. CVPR 2011: 2617-2624 - [c7]Kim L. Boyer, Dijia Wu:
Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry. MCPR 2011: 1-11 - [c6]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: 166-174 - 2010
- [j1]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): 253-259 (2010) - [c5]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: 2791-2798 - [c4]Dijia Wu, Kim L. Boyer:
Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis. CVPR 2010: 2807-2814
2000 – 2009
- 2009
- [c3]Dijia Wu, Jinbo Bi, Kim L. Boyer:
A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR 2009: 1359-1366 - [c2]Dijia Wu, Kim L. Boyer:
Resilient Subclass Discriminant Analysis. ICCV 2009: 389-396 - 2002
- [c1]Cong Shi, Zongwang Li, Dijia Wu, Wentao Song, Hanwen Luo:
Turbo product codes on frequency selective fading channel. VTC Spring 2002: 1233-1236
Coauthor Index
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last updated on 2024-10-10 21:14 CEST by the dblp team
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