Dijia Wu - RankMe

50 papers A* 6A 1Journal 20Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A topology-preserving three-stage framework for fully-connected coronary artery extraction. CoRR Yuehui Qiu, Dandan Shan, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen
2025	J	`jnl`	A topology-preserving three-stage framework for fully-connected coronary artery extraction. Medical Image Anal. Yuehui Qiu, Dandan Shan, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen
2025	J	`jnl`	Habitat-derived radiomics analysis based on dual lesion for the prediction of microvascular invasion in bifocal hepatocellular carcinoma. BMC Medical Imaging Xi Jia, Fei Wu, Jing Liu, Fang Wang, Yuyao Xiao, Dijia Wu, Chun Yang, Mengsu Zeng
2025	—	`conf`	Vascular-Topology-Aware Deep Structure Matching for 2D DSA and 3D CTA Rigid Registration. IPMI (1) Xiaosong Xiong, Caiwen Jiang, Peng Wu, Xiao Zhang, Yanli Song, Xinyi Zhang, Ze Tao, Dijia Wu, Dinggang Shen
2024	J	`jnl`	An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. IEEE Trans. Medical Imaging Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen
2024	—	`conf`	Discontinuity-Aware Coronary Artery Segmentation on CCTA Image. ISBI Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Jiameng Liu, Zhiming Cui, Dijia Wu, Dinggang Shen
2023	—	`conf`	CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen
2022	J	`jnl`	Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 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
2022	—	`conf`	Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. MICCAI (5) Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen
2021	—	`conf`	CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. MLMI@MICCAI Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen
2021	—	`conf`	Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. MLMI@MICCAI Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen
2021	—	`conf`	Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. MICCAI (5) Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen
2021	J	`jnl`	Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang
2021	—	`conf`	Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. MLMI@MICCAI Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen
2021	—	`conf`	VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen
2020	J	`jnl`	Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 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
2020	J	`jnl`	Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR 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
2020	J	`jnl`	Attention-Based LSTM with Filter Mechanism for Entity Relation Classification. Symmetry Yanliang Jin, Dijia Wu, Weisi Guo
2020	J	`jnl`	Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 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
2020	J	`jnl`	Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR 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
2020	—	`conf`	Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen
2020	J	`jnl`	Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen
2019	J	`jnl`	LSTM-CRF Neural Network With Gated Self Attention for Chinese NER. IEEE Access Yanliang Jin, Jinfei Xie, Weisi Guo, Can Luo, Dijia Wu, Rui Wang
2019	—	`conf`	Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph. MLMI@MICCAI Minqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou
2019	—	`conf`	Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation. MICCAI (6) Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, Dijia Wu
2019	—	`conf`	Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. MICCAI (3) Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang
2019	—	`conf`	Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. MLMI@MICCAI Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao
2019	J	`jnl`	Text Classification Based on Conditional Reflection. IEEE Access Yanliang Jin, Can Luo, Weisi Guo, Jinfei Xie, Dijia Wu, Rui Wang
2016	A	`conf`	Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. WACV Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers
2015	J	`jnl`	Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. IEEE Trans. Medical Imaging Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou
2014	—	`conf`	Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. MICCAI (1) Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou
2013	—	`conf`	A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. MLMI Le Lu, Bing Jian, Dijia Wu, Matthias Wolf
2013	—	`conf`	Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. MCV Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf
2013	—	`conf`	Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. MCV Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
2013	J	`jnl`	Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. CoRR Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
2012	—	`conf`	A Cascade Learning Method for Liver Lesion Detection in CT Images. MCV Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen
2012	A*	`conf`	A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images. CVPR Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andreas Wimmer, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou
2012	—	`conf`	Automatic detection of liver lesion from 3D computed tomography images. CVPR Workshops Dijia Wu, David Liu, Michael Sühling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou
2011	A*	`conf`	AdaBoost on low-rank PSD matrices for metric learning. CVPR Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf
2011	—	`conf`	Automatic Contrast Phase Estimation in CT Volumes. MICCAI (3) Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou
2011	J	`jnl`	Markov random field based phase demodulation of interferometric images. Comput. Vis. Image Underst. Dijia Wu, Kim L. Boyer
2011	—	`conf`	Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry. MCPR Kim L. Boyer, Dijia Wu
2010	A*	`conf`	Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis. CVPR Dijia Wu, Kim L. Boyer
2010	A*	`conf`	Stratified learning of local anatomical context for lung nodules in CT images. CVPR Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff
2010	J	`jnl`	Texture based prelens tear film segmentation in interferometry images. Mach. Vis. Appl. Dijia Wu, Kim L. Boyer, Jason J. Nichols, Peter E. King-Smith
2009	A*	`conf`	A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR Dijia Wu, Jinbo Bi, Kim L. Boyer
2009	A*	`conf`	Resilient Subclass Discriminant Analysis. ICCV Dijia Wu, Kim L. Boyer
2002	—	`conf`	Turbo product codes on frequency selective fading channel. VTC Spring Cong Shi, Zongwang Li, Dijia Wu, Wentao Song, Hanwen Luo