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Di Dong
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2020 – today
- 2024
- [j30]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): 921-933 (2024) - [j29]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): 6147-6163 (2024) - [j28]Liwen Zhang, Lianzhen Zhong, Fan Yang, Linglong Tang, Di Dong, Hui Hui, Jie Tian:
TripleSurv: Triplet Time-Adaptive Coordinate Learning Approach for Survival Analysis. IEEE Trans. Knowl. Data Eng. 36(12): 9464-9475 (2024) - [j27]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): 1 (2024) - [i4]Liwen Zhang, Lianzhen Zhong, Fan Yang, Di Dong, Hui Hui, Jie Tian:
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis. CoRR abs/2401.02708 (2024) - [i3]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 abs/2405.06948 (2024) - 2023
- [j26]Hailin Li
, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu
A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks 164: 455-463 (2023) - [j25]Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma. Vis. Comput. Ind. Biomed. Art 6(1): 23 (2023) - [c34]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: 1-5 - [i2]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 abs/2303.03041 (2023) - 2022
- [j24]Lixin Gong, Min Xu, Mengjie Fang
The potential of prostate gland radiomic features in identifying the Gleason score. Comput. Biol. Medicine 144: 105318 (2022) - [j23]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): 1079-1090 (2022) - [j22]Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. Neural Networks 152: 394-406 (2022) - [c33]Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian:
Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features. ISBI 2022: 1-5 - [i1]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 abs/2210.16640 (2022) - 2021
- [j21]Xiaoxiao Wang, Cong Li
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer. BMC Medical Imaging 21(1): 58 (2021) - [j20]Lingwei Meng
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics 25(3): 755-763 (2021) - [j19]Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu
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): 2353-2362 (2021) - [j18]Liwen Zhang, Di Dong
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics 25(10): 3933-3942 (2021) - [c32]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: 3492-3495 - [c31]Siwen Wang, Di Dong
Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images. EMBC 2021: 3501-3504 - [c30]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: 895-898 - 2020
- [j17]Jie Yuan
Research on Multimodal Perceptual Navigational Virtual and Real Fusion Intelligent Experiment Equipment and Algorithm. IEEE Access 8: 43375-43390 (2020) - [j16]Di Dong, Zhiquan Feng
A Design of Smart Beaker Structure and Interaction Paradigm Based on Multimodal Fusion Understanding. IEEE Access 8: 173766-173778 (2020) - [j15]Jie-hua Su, Lingwei Meng
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics. BMC Medical Imaging 20(1): 77 (2020) - [j14]Mengjie Fang
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. Sci. China Inf. Sci. 63(7) (2020) - [j13]Lingwei Meng
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): 3576-3584 (2020) - [j12]Cong Li
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J. Biomed. Health Informatics 24(12): 3585-3594 (2020) - [c29]Di Dong, Zhiquan Feng, Jinglan Tian:
Smart Beaker Based on Multimodal Fusion and Intentional Understanding. ICCDE 2020: 206-211
2010 – 2019
- 2019
- [j11]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): 63:1-63:11 (2019) - [j10]Xiaoke Ma
Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 31(2): 273-286 (2019) - [c28]Mengjie Fang
Using multi-task learning to improve diagnostic performance of convolutional neural networks. Computer-Aided Diagnosis 2019: 109501V - [c27]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. Computer-Aided Diagnosis 2019: 109502B - [c26]Mengjie Fang
Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. Image Processing 2019: 109491Q - 2018
- [c25]Wei Wei
A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. EMBC 2018: 139-142 - [c24]Shuo Wang, Zhenyu Liu
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC 2018: 2583-2586 - [c23]Wei Wei
Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. EMBC 2018: 4130-4133 - 2017
- [j9]Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. Medical Image Anal. 40: 172-183 (2017) - [j8]Wei Shen, Mu Zhou, Feng Yang, Dongdong Yu, Di Dong
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification. Pattern Recognit. 61: 663-673 (2017) - [j7]Xiaoke Ma, Di Dong:
Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 29(5): 1045-1058 (2017) - [c22]Chao Wang, Meng Li, Xia Liu, Zaiyi Liu, Yali Zang, Zhenyu Liu
Semi-automated enhanced breast tumor segmentation for CT image. EMBC 2017: 648-651 - [c21]Shuo Wang, Mu Zhou, Olivier Gevaert
A multi-view deep convolutional neural networks for lung nodule segmentation. EMBC 2017: 1752-1755 - [c20]Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert
Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. ISBI 2017: 569-572 - [c19]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370K - [c18]Zhenyu Liu
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 2017: 101370N - [c17]Jiangdian Song, Yali Zang
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 2017: 101343R - [c16]Dongdong Yu, Yali Zang
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. Computer-Aided Diagnosis 2017: 1013426 - 2016
- [j6]Di Dong, Xiaofeng Yang
SAR Observation of Eddy-Induced Mode-2 Internal Solitary Waves in the South China Sea. IEEE Trans. Geosci. Remote. Sens. 54(11): 6674-6686 (2016) - [c15]Jiangdian Song, Di Dong
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: 1268-1271 - [c14]Jun Wang, Xia Liu, Di Dong
Prediction of malignant and benign of lung tumor using a quantitative radiomic method. EMBC 2016: 1272-1275 - [c13]Di Dong, Peter Brandt
A new eddy detection method with object segmentation strategies for satellite altimetry. IGARSS 2016: 5827-5830 - [c12]Jiangdian Song, Di Dong, Yanqi Huang
Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. ISBI 2016: 1249-1252 - [c11]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: 124-131 - 2015
- [j5]Fangfang Yao
High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery. Remote. Sens. 7(9): 12336-12355 (2015) - [c10]Xiaofeng Yang
SAR imaging of mode-2 internal waves in the South China Sea. IGARSS 2015: 2287-2290 - [c9]Liangliang Shi, Di Dong
Coherent noise remover for optical projection tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941723 - [c8]Yujie Yang, Di Dong
Signal enhancement in optical projection tomography via virtual high dynamic range imaging of single exposure. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941724 - 2014
- [c7]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: 206-209 - [c6]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: 979-982 - [c5]Wei Mu, Zhe Chen, Jie Tian, Zhaohui Zhu, Di Dong:
A new Pansharp based method for PET/CT image fusion. ISBI 2014: 1140-1143 - 2013
- [j4]Di Dong
Automated Recovery of the Center of Rotation in Optical Projection Tomography in the Presence of Scattering. IEEE J. Biomed. Health Informatics 17(1): 198-204 (2013) - [c4]Di Dong, Jin Guo, Yujie Yang, Liangliang Shi, Dong Peng, Zhenyu Liu
Analysis of the rotational center location method in Optical Projection Tomography. EMBC 2013: 3008-3011 - 2012
- [j3]Shouping Zhu
Automated Motion Correction for In Vivo Optical Projection Tomography. IEEE Trans. Medical Imaging 31(7): 1358-1371 (2012) - 2010
- [j2]Guorui Yan, Jie Tian, Shouping Zhu
Fast katsevich algorithm based on GPU for helical cone-beam computed tomography. IEEE Trans. Inf. Technol. Biomed. 14(4): 1053-1061 (2010) - [j1]Yakang Dai, Jie Tian, Di Dong
Real-Time Visualized Freehand 3D Ultrasound Reconstruction Based on GPU. IEEE Trans. Inf. Technol. Biomed. 14(6): 1338-1345 (2010)
2000 – 2009
- 2009
- [c3]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 - 2008
- [c2]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: 4175-4179 - [c1]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: 1-6
Coauthor Index
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last updated on 2024-12-15 01:25 CET by the dblp team
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