Di Dong - RankMe

83 papers A* 1B 3C 2Journal 44Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Secure stabilization and CRYSTALS-Kyber-based SIC application for memristive neural networks with RDCs and DoS attacks. Neurocomputing Di Dong, Ruimei Zhang, Ju H. Park, Deqiang Zeng, Beibei Li
2026	J	`jnl`	Synergizing Discriminative Exemplars and Self-Refined Experience for MLLM-based In-Context Learning in Medical Diagnosis. CoRR Wenkai Zhao, Zipei Wang, Mengjie Fang, Di Dong, Jie Tian, Lingwei Zhang
2026	J	`jnl`	Training-free subject-enhanced attention guidance for compositional text-to-image generation. Pattern Recognit. Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Quan Chen, Di Dong
2025	J	`jnl`	A Wavelet Disentanglement and topological semantic neural network for traffic flow forecasting. Eng. Appl. Artif. Intell. Tao Cui, Yudong Lu, Di Dong, Chongguang Ren, Zhijian Qu, Panjing Li
2025	—	`conf`	CholecMamba: A Mamba-Based Multimodal Reasoning Model for Cholecystectomy Surgery. MICCAI (9) Zipei Wang, Sitian Pan, Mengjie Fang, Ruofan Zhang, Jie Tian, Di Dong
2025	J	`jnl`	ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. IEEE J. Biomed. Health Informatics Hailin Li, Di Dong, Mengjie Fang, Bingxi He, Shengyuan Liu, Chaoen Hu, Zaiyi Liu, Hexiang Wang, Linglong Tang, Jie Tian
2025	J	`jnl`	Deep Learning for High-Resolution Remote Sensing Change Detection: Task Taxonomy, Datasets, and Perspectives. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongqi Chen, Shou Feng, Chunhui Zhao, Yingjie Tang, Junjie Tang, Di Dong, Nan Su
2025	J	`jnl`	GCESS: A two-phase generative learning framework for estimate molecular expression to cell detection and analysis. Image Vis. Comput. Tianwang Xun, Lei Su, Wenting Shang, Di Dong, Lizhi Shao
2025	J	`jnl`	HiCur-NPC: Hierarchical Feature Fusion Curriculum Learning for Multi-Modal Foundation Model in Nasopharyngeal Carcinoma. IEEE Trans. Medical Imaging Zipei Wang, Mengjie Fang, Linglong Tang, Jie Tian, Di Dong
2025	—	`conf`	MIHCGENER: A Framework for Multiple Immunohistochemical Image Generation Based on the Combination of Pathological Foundation Model and Generative Model. ISBI Tianwang Xun, Ruiyu Li, Lei Su, Junxian Wu, Di Dong, Wenting Shang, Lizhi Shao
2025	J	`jnl`	New results on modeling and hybrid control for malware propagation in cyber-physical systems. Comput. Secur. Huifang Xiang, Ruimei Zhang, Ziling Wang, Di Dong
2025	A*	`conf`	Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion. ICRA Shengyuan Liu, Zhen Chen, Qiushi Yang, Weihao Yu, Di Dong, Jiancong Hu, Yixuan Yuan
2025	J	`jnl`	Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion. CoRR Shengyuan Liu, Zhen Chen, Qiushi Yang, Weihao Yu, Di Dong, Jiancong Hu, Yixuan Yuan
2025	—	`conf`	TMSE: Tri-Modal Survival Estimation with Context-Aware Tissue Prototype and Attention-Entropy Interaction. MICCAI (1) Ruofan Zhang, Mengjie Fang, Shengyuan Liu, Zipei Wang, Jie Tian, Di Dong
2024	J	`jnl`	CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis. Vis. Comput. Ind. Biomed. Art Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou
2024	—	`conf`	Enhancing Prognostic Prediction of Gastrointestinal Stromal Tumors Using Semi-Supervised Regression Based on CT Imaging Data. EMBC Hailin Li, Mengjie Fang, Bingxi He, Di Dong, Jie Tian
2024	J	`jnl`	Review on development prospect of operation scheduling strategies for flexible interconnected distribution network in renewable energy-penetrated power system. J. Comput. Methods Sci. Eng. Qingpai Ke, Di Dong, Tong Liu, Shibin Xiong, Wei Jiang, Xuntao Shi, Rongbo Lou
2024	J	`jnl`	Secure defense control for memristive recurrent neural networks under denial-of-service attacks with quantized sampled-data signals. Neural Comput. Appl. Di Dong, Ruimei Zhang, Yunjia Cheng, Lei Zhang, Xiangpeng Xie, Jianying Xiao
2024	J	`jnl`	Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation. CoRR Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Xipeng Cao, Quan Chen, Han Li, Di Dong, Peng Jiang
2024	J	`jnl`	TripleSurv: Triplet Time-Adaptive Coordinate Learning Approach for Survival Analysis. IEEE Trans. Knowl. Data Eng. Liwen Zhang, Lianzhen Zhong, Fan Yang, Linglong Tang, Di Dong, Hui Hui, Jie Tian
2024	J	`jnl`	TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis. CoRR Liwen Zhang, Lianzhen Zhong, Fan Yang, Di Dong, Hui Hui, Jie Tian
2023	J	`jnl`	A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu, Chaoen Hu, Di Dong, Ximing Wang, Hexiang Wang, Jie Tian
2023	J	`jnl`	Automatic detection of aerial survey ground control points based on Yolov5-OBB. CoRR Chuanxiang Cheng, Jia Yang, Chao Wang, Zhi Zheng, Xiaopeng Li, Di Dong, Mengxia Chang, Zhiheng Zhuang
2023	J	`jnl`	Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma. Vis. Comput. Ind. Biomed. Art Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong, Jie Tian, Feng Chen
2023	—	`conf`	Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer. ISBI Shengyuan Liu, Mengjie Fang, Di Dong, Wenting Shang, Jie Tian
2022	J	`jnl`	2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
2022	J	`jnl`	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 Shasha Hu, Yongbei Zhu, Di Dong, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian, Yun Peng
2022	J	`jnl`	Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. Neural Networks Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian
2022	—	`conf`	Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features. ISBI Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian
2022	J	`jnl`	The potential of prostate gland radiomic features in identifying the Gleason score. Comput. Biol. Medicine Lixin Gong, Min Xu, Mengjie Fang, Bingxi He, Hailin Li, Xiangming Fang, Di Dong, Jie Tian
2021	J	`jnl`	2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
2021	J	`jnl`	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 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
2021	—	`conf`	Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images. EMBC Siwen Wang, Di Dong, Hailin Li, Caizhen Feng, Yi Wang, Jie Tian
2021	J	`jnl`	Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer. BMC Medical Imaging Xiaoxiao Wang, Cong Li, Mengjie Fang, Liwen Zhang, Lianzhen Zhong, Di Dong, Jie Tian, Xiuhong Shan
2021	—	`conf`	Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. ISBI Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian
2021	J	`jnl`	Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian
2021	—	`conf`	Self-Attention Based Virtual Staining for Bright-field Images of Label-free Human Carotid Atherosclerotic Plaque Tissue Section. EMBC Guanghao Zhang, Hui Hui, Bin Ning, Di Dong, Jie Tian, Wen He
2020	J	`jnl`	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 Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian
2020	J	`jnl`	A Design of Smart Beaker Structure and Interaction Paradigm Based on Multimodal Fusion Understanding. IEEE Access Di Dong, Zhiquan Feng, Jie Yuan, Xin Meng, Junhong Meng, Dan Kong
2020	J	`jnl`	CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. Sci. China Inf. Sci. Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian
2020	J	`jnl`	Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J. Biomed. Health Informatics Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian
2020	J	`jnl`	Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics. BMC Medical Imaging 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
2020	J	`jnl`	Research on Multimodal Perceptual Navigational Virtual and Real Fusion Intelligent Experiment Equipment and Algorithm. IEEE Access Jie Yuan, Zhiquan Feng, Di Dong, Xin Meng, Junhong Meng, Dan Kong
2020	—	`conf`	Smart Beaker Based on Multimodal Fusion and Intentional Understanding. ICCDE Di Dong, Zhiquan Feng, Jinglan Tian
2019	J	`jnl`	Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. Xiaoke Ma, Di Dong, Quan Wang
2019	J	`jnl`	Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children. BMC Medical Imaging Bei Wang, Min Li, He Ma, Fangfang Han, Yan Wang, Shunying Zhao, Zhimin Liu, Tong Yu, Jie Tian, Di Dong, Yun Peng
2019	—	`conf`	Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas. Computer-Aided Diagnosis Yuqi Han, Zhen Xie, Yali Zang, Shuaitong Zhang, Dongsheng Gu, Jingwei Wei, Chao Li, Hongyan Chen, Jiang Du, Di Dong, Jie Tian, Dabiao Zhou
2019	B	`conf`	Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. Image Processing Mengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian
2019	—	`conf`	Using multi-task learning to improve diagnostic performance of convolutional neural networks. Computer-Aided Diagnosis Mengjie Fang, Di Dong, Ruijia Sun, Li Fan, Yingshi Sun, Shiyuan Liu, Jie Tian
2018	—	`conf`	A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. EMBC 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
2018	—	`conf`	Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. EMBC Wei Wei, Yu Rong, Zhenyu Liu, Bin Zhou, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yingkun Guo
2018	—	`conf`	Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian
2017	—	`conf`	A multi-view deep convolutional neural networks for lung nodule segmentation. EMBC Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian
2017	J	`jnl`	Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. Medical Image Anal. Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian
2017	—	`conf`	Cerebral vessels segmentation for light-sheet microscopy image using convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging Chaoen Hu, Hui Hui, Shuo Wang, Di Dong, Xia Liu, Xin Yang, Jie Tian
2017	—	`conf`	Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. ISBI Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian
2017	—	`conf`	Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. Computer-Aided Diagnosis Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian
2017	—	`conf`	Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer. Computer-Aided Diagnosis Jiangdian Song, Yali Zang, Weimin Li, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian
2017	J	`jnl`	Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. Xiaoke Ma, Di Dong
2017	—	`conf`	Identifying cognitive impairment in type 2 diabetes with functional connectivity: a multivariate pattern analysis of resting state fMRI data. Biomedical Applications in Molecular, Structural, and Functional Imaging Zhenyu Liu, Xingwei Cui, Zhenchao Tang, Di Dong, Yali Zang, Jie Tian
2017	J	`jnl`	Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification. Pattern Recognit. Wei Shen, Mu Zhou, Feng Yang, Dongdong Yu, Di Dong, Caiyun Yang, Yali Zang, Jie Tian
2017	—	`conf`	Semi-automated enhanced breast tumor segmentation for CT image. EMBC Chao Wang, Meng Li, Xia Liu, Zaiyi Liu, Yali Zang, Zhenyu Liu, Di Dong, Changhong Chang, Jie Tian
2016	C	`conf`	A new eddy detection method with object segmentation strategies for satellite altimetry. IGARSS Di Dong, Peter Brandt, Florian Schutte, Xiaofeng Yang, Ziwei Li
2016	—	`conf`	Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. ISBI Jiangdian Song, Di Dong, Yanqi Huang, Zaiyi Liu, Jie Tian
2016	—	`conf`	Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy. EMBC Jiangdian Song, Di Dong, Yanqi Huang, Yali Zang, Zaiyi Liu, Jie Tian
2016	—	`conf`	Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction. MICCAI (2) Wei Shen, Mu Zhou, Feng Yang, Di Dong, Caiyun Yang, Yali Zang, Jie Tian
2016	—	`conf`	Prediction of malignant and benign of lung tumor using a quantitative radiomic method. EMBC Jun Wang, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang, Jie Tian
2016	J	`jnl`	SAR Observation of Eddy-Induced Mode-2 Internal Solitary Waves in the South China Sea. IEEE Trans. Geosci. Remote. Sens. Di Dong, Xiaofeng Yang, Xiaofeng Li, Ziwei Li
2015	—	`conf`	Coherent noise remover for optical projection tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging Liangliang Shi, Di Dong, Yujie Yang, Jun Wang, Alicia Arranz, Jorge Ripoll, Jie Tian
2015	J	`jnl`	High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery. Remote. Sens. Fangfang Yao, Chao Wang, Di Dong, Jiancheng Luo, Zhanfeng Shen, Kehan Yang
2015	C	`conf`	SAR imaging of mode-2 internal waves in the South China Sea. IGARSS Xiaofeng Yang, Di Dong, Xiaofeng Li, Ziwei Li
2015	—	`conf`	Signal enhancement in optical projection tomography via virtual high dynamic range imaging of single exposure. Biomedical Applications in Molecular, Structural, and Functional Imaging Yujie Yang, Di Dong, Liangliang Shi, Jun Wang, Xin Yang, Jie Tian
2014	—	`conf`	A new Pansharp based method for PET/CT image fusion. ISBI Wei Mu, Zhe Chen, Jie Tian, Zhaohui Zhu, Di Dong
2014	—	`conf`	A projection selection method to improve image quality in optical projection tomography. EMBC Jin Guo, Yujie Yang, Di Dong, Liangliang Shi, Hui Hui, Min Xu, Jie Tian, Xia Liu
2014	—	`conf`	Preliminary design of a multimodality molecular imaging system. ISBI Di Dong, Hui Hui, Caiyun Yang, Jin Guo, Yujie Yang, Liangliang Shi, Wei Mu, Jie Tian
2013	—	`conf`	Analysis of the rotational center location method in Optical Projection Tomography. EMBC Di Dong, Jin Guo, Yujie Yang, Liangliang Shi, Dong Peng, Zhenyu Liu, Jorge Ripoll, Jie Tian
2013	J	`jnl`	Automated Recovery of the Center of Rotation in Optical Projection Tomography in the Presence of Scattering. IEEE J. Biomed. Health Informatics Di Dong, Shouping Zhu, Chenghu Qin, Varsha Kumar, Jens V. Stein, Stephan Oehler, Charalambos Savakis, Jie Tian, Jorge Ripoll
2012	J	`jnl`	Automated Motion Correction for In Vivo Optical Projection Tomography. IEEE Trans. Medical Imaging Shouping Zhu, Di Dong, Udo Birk, Matthias Rieckher, Nektarios Tavernarakis, Xiaochao Qu, Jimin Liang, Jie Tian, Jorge Ripoll
2010	J	`jnl`	Fast katsevich algorithm based on GPU for helical cone-beam computed tomography. IEEE Trans. Inf. Technol. Biomed. Guorui Yan, Jie Tian, Shouping Zhu, Chenghu Qin, Yakang Dai, Fei Yang, Di Dong, Ping Wu
2010	J	`jnl`	Real-Time Visualized Freehand 3D Ultrasound Reconstruction Based on GPU. IEEE Trans. Inf. Technol. Biomed. Yakang Dai, Jie Tian, Di Dong, Guorui Yan, Hairong Zheng
2009	—	`conf`	Large Scale Characteristics and Capacity Evaluation of Outdoor Relay Channels at 2.35 GHz. VTC Fall Di Dong, Jianhua Zhang, Yu Zhang, Xin Nie
2008	B	`conf`	A Novel Spatial Autocorrelation Model of Shadow Fading in Urban Macro Environments. GLOBECOM Yu Zhang, Jianhua Zhang, Di Dong, Xin Nie, Guangyi Liu, Ping Zhang
2008	B	`conf`	Propagation characteristics of wideband MIMO channel in urban micro- and macrocells. PIMRC Jianhua Zhang, Di Dong, Yanping Liang, Xin Nie, Xinying Gao, Yu Zhang, Chen Huang, Guangyi Liu