Di Dong

According to our database, Di Dong authored at least 64 papers between 2008 and 2024.

Collaborative distances:

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

2024

CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis.

Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou

Vis. Comput. Ind. Biomed. Art, December, 2024

Secure defense control for memristive recurrent neural networks under denial-of-service attacks with quantized sampled-data signals.

Di Dong, Ruimei Zhang, Yunjia Cheng, Lei Zhang, Xiangpeng Xie, Jianying Xiao

Neural Comput. Appl., April, 2024

TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis.

Liwen Zhang, Lianzhen Zhong, Fan Yang, Di Dong, Hui Hui, Jie Tian

CoRR, 2024

2023

Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.

Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong, Jie Tian, Feng Chen

Vis. Comput. Ind. Biomed. Art, December, 2023

A multi-view co-training network for semi-supervised medical image-based prognostic prediction.

Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu, Chaoen Hu, Di Dong, Ximing Wang, Hexiang Wang, Jie Tian

Neural Networks, July, 2023

Automatic detection of aerial survey ground control points based on Yolov5-OBB.

Chuanxiang Cheng, Jia Yang, Chao Wang, Zhi Zheng, Xiaopeng Li, Di Dong, Mengxia Chang, Zhiheng Zhuang

CoRR, 2023

Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer.

Shengyuan Liu, Mengjie Fang, Di Dong, Wenting Shang, Jie Tian

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images.

Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian

Neural Networks, 2022

Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children?

Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng

J. Digit. Imaging, 2022

The potential of prostate gland radiomic features in identifying the Gleason score.

Lixin Gong, Min Xu, Mengjie Fang, Bingxi He, Hailin Li, Xiangming Fang, Di Dong, Jie Tian

Comput. Biol. Medicine, 2022

Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features.

Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients.

Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

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

IEEE J. Biomed. Health Informatics, 2021

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study.

Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.

Xiaoxiao Wang, Cong Li, Mengjie Fang, Liwen Zhang, Lianzhen Zhong, Di Dong, Jie Tian, Xiuhong Shan

BMC Medical Imaging, 2021

Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images.

Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Self-Attention Based Virtual Staining for Bright-field Images of Label-free Human Carotid Atherosclerotic Plaque Tissue Section.

Guanghao Zhang, Hui Hui, Bin Ning, Di Dong, Jie Tian, Wen He

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images.

Siwen Wang, Di Dong, Hailin Li, Caizhen Feng, Yi Wang, Jie Tian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study.

Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian

IEEE J. Biomed. Health Informatics, 2020

Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics.

Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian

IEEE J. Biomed. Health Informatics, 2020

CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study.

Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian

Sci. China Inf. Sci., 2020

Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics.

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

BMC Medical Imaging, 2020

Research on Multimodal Perceptual Navigational Virtual and Real Fusion Intelligent Experiment Equipment and Algorithm.

Jie Yuan, Zhiquan Feng, Di Dong, Xin Meng, Junhong Meng, Dan Kong

IEEE Access, 2020

A Design of Smart Beaker Structure and Interaction Paradigm Based on Multimodal Fusion Understanding.

Di Dong, Zhiquan Feng, Jie Yuan, Xin Meng, Junhong Meng, Dan Kong

IEEE Access, 2020

Smart Beaker Based on Multimodal Fusion and Intentional Understanding.

Di Dong, Zhiquan Feng, Jinglan Tian

Proceedings of the ICCDE 2020: The 6th International Conference on Computing and Data Engineering, 2020

2019

Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization.

Xiaoke Ma, Di Dong, Quan Wang

IEEE Trans. Knowl. Data Eng., 2019

Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children.

Bei Wang, Min Li, He Ma, Fangfang Han, Yan Wang, Shunying Zhao, Zhimin Liu, Tong Yu, Jie Tian, Di Dong, Yun Peng

BMC Medical Imaging, 2019

Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning.

Mengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.

Yuqi Han, Zhen Xie, Yali Zang, Shuaitong Zhang, Dongsheng Gu, Jingwei Wei, Chao Li, Hongyan Chen, Jiang Du, Di Dong, Jie Tian, Dabiao Zhou

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Using multi-task learning to improve diagnostic performance of convolutional neural networks.

Mengjie Fang, Di Dong, Ruijia Sun, Li Fan, Yingshi Sun, Shiyuan Liu, Jie Tian

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma.

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer.

Wei Wei, Yu Rong, Zhenyu Liu, Bin Zhou, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yingkun Guo

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis.

Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks.

Xiaoke Ma, Di Dong

IEEE Trans. Knowl. Data Eng., 2017

Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification.

Wei Shen, Mu Zhou, Feng Yang, Dongdong Yu, Di Dong, Caiyun Yang, Yali Zang, Jie Tian

Pattern Recognit., 2017

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.

Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian

Medical Image Anal., 2017

Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes.

Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer.

Jiangdian Song, Yali Zang, Weimin Li, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Identifying cognitive impairment in type 2 diabetes with functional connectivity: a multivariate pattern analysis of resting state fMRI data.

Zhenyu Liu, Xingwei Cui, Zhenchao Tang, Di Dong, Yali Zang, Jie Tian

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Cerebral vessels segmentation for light-sheet microscopy image using convolutional neural networks.

Chaoen Hu, Hui Hui, Shuo Wang, Di Dong, Xia Liu, Xin Yang, Jie Tian

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer.

Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A multi-view deep convolutional neural networks for lung nodule segmentation.

Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Semi-automated enhanced breast tumor segmentation for CT image.

Chao Wang, Meng Li, Xia Liu, Zaiyi Liu, Yali Zang, Zhenyu Liu, Di Dong, Changhong Chang, Jie Tian

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

SAR Observation of Eddy-Induced Mode-2 Internal Solitary Waves in the South China Sea.

Di Dong, Xiaofeng Yang, Xiaofeng Li, Ziwei Li

IEEE Trans. Geosci. Remote. Sens., 2016

Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction.

Wei Shen, Mu Zhou, Feng Yang, Di Dong, Caiyun Yang, Yali Zang, Jie Tian

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer.

Jiangdian Song, Di Dong, Yanqi Huang, Zaiyi Liu, Jie Tian

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A new eddy detection method with object segmentation strategies for satellite altimetry.

Di Dong, Peter Brandt, Florian Schutte, Xiaofeng Yang, Ziwei Li

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Prediction of malignant and benign of lung tumor using a quantitative radiomic method.

Jun Wang, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang, Jie Tian

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy.

Jiangdian Song, Di Dong, Yanqi Huang, Yali Zang, Zaiyi Liu, Jie Tian

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery.

Fangfang Yao, Chao Wang, Di Dong, Jiancheng Luo, Zhanfeng Shen, Kehan Yang

Remote. Sens., 2015

Signal enhancement in optical projection tomography via virtual high dynamic range imaging of single exposure.

Yujie Yang, Di Dong, Liangliang Shi, Jun Wang, Xin Yang, Jie Tian

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Coherent noise remover for optical projection tomography.

Liangliang Shi, Di Dong, Yujie Yang, Jun Wang, Alicia Arranz, Jorge Ripoll, Jie Tian

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

SAR imaging of mode-2 internal waves in the South China Sea.

Xiaofeng Yang, Di Dong, Xiaofeng Li, Ziwei Li

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

A new Pansharp based method for PET/CT image fusion.

Wei Mu, Zhe Chen, Jie Tian, Zhaohui Zhu, Di Dong

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Preliminary design of a multimodality molecular imaging system.

Di Dong, Hui Hui, Caiyun Yang, Jin Guo, Yujie Yang, Liangliang Shi, Wei Mu, Jie Tian

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

A projection selection method to improve image quality in optical projection tomography.

Jin Guo, Yujie Yang, Di Dong, Liangliang Shi, Hui Hui, Min Xu, Jie Tian, Xia Liu

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Automated Recovery of the Center of Rotation in Optical Projection Tomography in the Presence of Scattering.

Di Dong, Shouping Zhu, Chenghu Qin, Varsha Kumar, Jens V. Stein, Stephan Oehler, Charalambos Savakis, Jie Tian, Jorge Ripoll

IEEE J. Biomed. Health Informatics, 2013

Analysis of the rotational center location method in Optical Projection Tomography.

Di Dong, Jin Guo, Yujie Yang, Liangliang Shi, Dong Peng, Zhenyu Liu, Jorge Ripoll, Jie Tian

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Automated Motion Correction for In Vivo Optical Projection Tomography.

Shouping Zhu, Di Dong, Udo Birk, Matthias Rieckher, Nektarios Tavernarakis, Xiaochao Qu, Jimin Liang, Jie Tian, Jorge Ripoll

IEEE Trans. Medical Imaging, 2012

2010

Fast katsevich algorithm based on GPU for helical cone-beam computed tomography.

Guorui Yan, Jie Tian, Shouping Zhu, Chenghu Qin, Yakang Dai, Fei Yang, Di Dong, Ping Wu

IEEE Trans. Inf. Technol. Biomed., 2010

Real-Time Visualized Freehand 3D Ultrasound Reconstruction Based on GPU.

Yakang Dai, Jie Tian, Di Dong, Guorui Yan, Hairong Zheng

IEEE Trans. Inf. Technol. Biomed., 2010

2009

Large Scale Characteristics and Capacity Evaluation of Outdoor Relay Channels at 2.35 GHz.

Di Dong, Jianhua Zhang, Yu Zhang, Xin Nie

Proceedings of the 70th IEEE Vehicular Technology Conference, 2009

2008

Propagation characteristics of wideband MIMO channel in urban micro- and macrocells.

Jianhua Zhang, Di Dong, Yanping Liang, Xin Nie, Xinying Gao, Yu Zhang, Chen Huang, Guangyi Liu

Proceedings of the IEEE 19th International Symposium on Personal, 2008

A Novel Spatial Autocorrelation Model of Shadow Fading in Urban Macro Environments.

Yu Zhang, Jianhua Zhang, Di Dong, Xin Nie, Guangyi Liu, Ping Zhang

Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008