Di Dong

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 56

Top Topics

Survival Prediction

Negative Matrix Factorization

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis. Vis. Comput. Ind. Biomed. Art 7 (1) (2024)
Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Xipeng Cao, Quan Chen, Han Li, Di Dong, Peng Jiang
Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation. CoRR (2024)
Di Dong, Ruimei Zhang, Yunjia Cheng, Lei Zhang, Xiangpeng Xie, Jianying Xiao
Secure defense control for memristive recurrent neural networks under denial-of-service attacks with quantized sampled-data signals. Neural Comput. Appl. 36 (11) (2024)
Qingpai Ke, Di Dong, Tong Liu, Shibin Xiong, Wei Jiang, Xuntao Shi, Rongbo Lou
Review on development prospect of operation scheduling strategies for flexible interconnected distribution network in renewable energy-penetrated power system. J. Comput. Methods Sci. Eng. 24 (2) (2024)
Liwen Zhang, Lianzhen Zhong, Fan Yang, Di Dong, Hui Hui, Jie Tian
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis. CoRR (2024)
Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu, Chaoen Hu, Di Dong, Ximing Wang, Hexiang Wang, Jie Tian
A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks 164 (2023)
Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong, Jie Tian, Feng Chen
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma. Vis. Comput. Ind. Biomed. Art 6 (1) (2023)
Chuanxiang Cheng, Jia Yang, Chao Wang, Zhi Zheng, Xiaopeng Li, Di Dong, Mengxia Chang, Zhiheng Zhuang
Automatic detection of aerial survey ground control points based on Yolov5-OBB. CoRR (2023)
Shengyuan Liu, Mengjie Fang, Di Dong, Wenting Shang, Jie Tian
Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer. ISBI (2023)
Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian
Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features. ISBI (2022)
Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR (2022)
Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. Neural Networks 152 (2022)
Lixin Gong, Min Xu, Mengjie Fang, Bingxi He, Hailin Li, Xiangming Fang, Di Dong, Jie Tian
The potential of prostate gland radiomic features in identifying the Gleason score. Comput. Biol. Medicine 144 (2022)
Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? J. Digit. Imaging 35 (5) (2022)
Xiaoxiao Wang, Cong Li, Mengjie Fang, Liwen Zhang, Lianzhen Zhong, Di Dong, Jie Tian, Xiuhong Shan
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer. BMC Medical Imaging 21 (1) (2021)
Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Siwen Wang, Di Dong, Hailin Li, Caizhen Feng, Yi Wang, Jie Tian
Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images. EMBC (2021)
Guanghao Zhang, Hui Hui, Bin Ning, Di Dong, Jie Tian, Wen He
Self-Attention Based Virtual Staining for Bright-field Images of Label-free Human Carotid Atherosclerotic Plaque Tissue Section. EMBC (2021)
Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu, Meiyun Wang, Yunfei Zha, Jie Tian
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian
Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. ISBI (2021)
Di Dong, Zhiquan Feng, Jie Yuan, Xin Meng, Junhong Meng, Dan Kong
A Design of Smart Beaker Structure and Interaction Paradigm Based on Multimodal Fusion Understanding. IEEE Access 8 (2020)
Jie Yuan, Zhiquan Feng, Di Dong, Xin Meng, Junhong Meng, Dan Kong
Research on Multimodal Perceptual Navigational Virtual and Real Fusion Intelligent Experiment Equipment and Algorithm. IEEE Access 8 (2020)
Di Dong, Zhiquan Feng, Jinglan Tian
Smart Beaker Based on Multimodal Fusion and Intentional Understanding. ICCDE (2020)
Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. Sci. China Inf. Sci. 63 (7) (2020)
Jie-hua Su, Lingwei Meng, Di Dong, Wen-yan Zhuo, Jian-ming Wang, Li-bin Liu, Yi Qin, Ye Tian, Jie Tian, Zhao-hui Li
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics. BMC Medical Imaging 20 (1) (2020)
Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Xiaoke Ma, Di Dong, Quan Wang
Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 31 (2) (2019)
Yuqi Han, Zhen Xie, Yali Zang, Shuaitong Zhang, Dongsheng Gu, Jingwei Wei, Chao Li, Hongyan Chen, Jiang Du, Di Dong, Jie Tian, Dabiao Zhou
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas. Medical Imaging: Computer-Aided Diagnosis (2019)
Bei Wang, Min Li, He Ma, Fangfang Han, Yan Wang, Shunying Zhao, Zhimin Liu, Tong Yu, Jie Tian, Di Dong, Yun Peng
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children. BMC Medical Imaging 19 (1) (2019)
Mengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian
Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. Medical Imaging: Image Processing (2019)
Mengjie Fang, Di Dong, Ruijia Sun, Li Fan, Yingshi Sun, Shiyuan Liu, Jie Tian
Using multi-task learning to improve diagnostic performance of convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis (2019)
Wei Wei, Ke Wang, Kaibing Tian, Zhenyu Liu, Liang Wang, Junting Zhang, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yuan Gao, Zhen Wu, Jie Tian
A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. EMBC (2018)
Wei Wei, Yu Rong, Zhenyu Liu, Bin Zhou, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yingkun Guo
Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. EMBC (2018)
Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC (2018)
Jiangdian Song, Yali Zang, Weimin Li, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer. Medical Imaging: Computer-Aided Diagnosis (2017)
Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. Medical Imaging: Computer-Aided Diagnosis (2017)
Chaoen Hu, Hui Hui, Shuo Wang, Di Dong, Xia Liu, Xin Yang, Jie Tian
Cerebral vessels segmentation for light-sheet microscopy image using convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Wei Shen, Mu Zhou, Feng Yang, Dongdong Yu, Di Dong, Caiyun Yang, Yali Zang, Jie Tian
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification. Pattern Recognit. 61 (2017)
Chao Wang, Meng Li, Xia Liu, Zaiyi Liu, Yali Zang, Zhenyu Liu, Di Dong, Changhong Chang, Jie Tian
Semi-automated enhanced breast tumor segmentation for CT image. EMBC (2017)
Zhenyu Liu, Xingwei Cui, Zhenchao Tang, Di Dong, Yali Zang, Jie Tian
Identifying cognitive impairment in type 2 diabetes with functional connectivity: a multivariate pattern analysis of resting state fMRI data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian
Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. ISBI (2017)
Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian
A multi-view deep convolutional neural networks for lung nodule segmentation. EMBC (2017)
Xiaoke Ma, Di Dong
Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 29 (5) (2017)
Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. Medical Image Anal. 40 (2017)
Di Dong, Xiaofeng Yang, Xiaofeng Li, Ziwei Li
SAR Observation of Eddy-Induced Mode-2 Internal Solitary Waves in the South China Sea. IEEE Trans. Geosci. Remote. Sens. 54 (11) (2016)
Jiangdian Song, Di Dong, Yanqi Huang, Zaiyi Liu, Jie Tian
Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. ISBI (2016)
Jun Wang, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang, Jie Tian
Prediction of malignant and benign of lung tumor using a quantitative radiomic method. EMBC (2016)
Wei Shen, Mu Zhou, Feng Yang, Di Dong, Caiyun Yang, Yali Zang, Jie Tian
Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction. MICCAI (2) (2016)
Jiangdian Song, Di Dong, Yanqi Huang, Yali Zang, Zaiyi Liu, Jie Tian
Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy. EMBC (2016)
Di Dong, Peter Brandt, Florian Schutte, Xiaofeng Yang, Ziwei Li
A new eddy detection method with object segmentation strategies for satellite altimetry. IGARSS (2016)
Liangliang Shi, Di Dong, Yujie Yang, Jun Wang, Alicia Arranz, Jorge Ripoll, Jie Tian
Coherent noise remover for optical projection tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Fangfang Yao, Chao Wang, Di Dong, Jiancheng Luo, Zhanfeng Shen, Kehan Yang
High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery. Remote. Sens. 7 (9) (2015)
Yujie Yang, Di Dong, Liangliang Shi, Jun Wang, Xin Yang, Jie Tian
Signal enhancement in optical projection tomography via virtual high dynamic range imaging of single exposure. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Xiaofeng Yang, Di Dong, Xiaofeng Li, Ziwei Li
SAR imaging of mode-2 internal waves in the South China Sea. IGARSS (2015)
Wei Mu, Zhe Chen, Jie Tian, Zhaohui Zhu, Di Dong
A new Pansharp based method for PET/CT image fusion. ISBI (2014)
Di Dong, Hui Hui, Caiyun Yang, Jin Guo, Yujie Yang, Liangliang Shi, Wei Mu, Jie Tian
Preliminary design of a multimodality molecular imaging system. ISBI (2014)
Jin Guo, Yujie Yang, Di Dong, Liangliang Shi, Hui Hui, Min Xu, Jie Tian, Xia Liu
A projection selection method to improve image quality in optical projection tomography. EMBC (2014)
Di Dong, Jin Guo, Yujie Yang, Liangliang Shi, Dong Peng, Zhenyu Liu, Jorge Ripoll, Jie Tian
Analysis of the rotational center location method in Optical Projection Tomography. EMBC (2013)
Di Dong, Shouping Zhu, Chenghu Qin, Varsha Kumar, Jens V. Stein, Stephan Oehler, Charalambos Savakis, Jie Tian, Jorge Ripoll
Automated Recovery of the Center of Rotation in Optical Projection Tomography in the Presence of Scattering. IEEE J. Biomed. Health Informatics 17 (1) (2013)
Shouping Zhu, Di Dong, Udo Birk, Matthias Rieckher, Nektarios Tavernarakis, Xiaochao Qu, Jimin Liang, Jie Tian, Jorge Ripoll
Automated Motion Correction for In Vivo Optical Projection Tomography. IEEE Trans. Medical Imaging 31 (7) (2012)
Guorui Yan, Jie Tian, Shouping Zhu, Chenghu Qin, Yakang Dai, Fei Yang, Di Dong, Ping Wu
Fast katsevich algorithm based on GPU for helical cone-beam computed tomography. IEEE Trans. Inf. Technol. Biomed. 14 (4) (2010)
Yakang Dai, Jie Tian, Di Dong, Guorui Yan, Hairong Zheng
Real-Time Visualized Freehand 3D Ultrasound Reconstruction Based on GPU. IEEE Trans. Inf. Technol. Biomed. 14 (6) (2010)
Di Dong, Jianhua Zhang, Yu Zhang, Xin Nie
Large Scale Characteristics and Capacity Evaluation of Outdoor Relay Channels at 2.35 GHz. VTC Fall (2009)
Jianhua Zhang, Di Dong, Yanping Liang, Xin Nie, Xinying Gao, Yu Zhang, Chen Huang, Guangyi Liu
Propagation characteristics of wideband MIMO channel in urban micro- and macrocells. PIMRC (2008)
Yu Zhang, Jianhua Zhang, Di Dong, Xin Nie, Guangyi Liu, Ping Zhang
A Novel Spatial Autocorrelation Model of Shadow Fading in Urban Macro Environments. GLOBECOM (2008)