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2020 – today
- 2024
[j44]Guodong Zhang, Kaichao Liang, Yanlin Li, Tingyu Liang, Zhaoxuan Gong, Ronghui Ju
, Dazhe Zhao, Zhuoning Zhang:
Segmentation of the left atrial appendage based on fusion attention. Medical Biol. Eng. Comput. 62(10): 2999-3012 (2024)- [j43]Wei Li, Xin Min, Panpan Ye, Weidong Xie, Dazhe Zhao:
Temporal topic model for clinical pathway mining from electronic medical records. BMC Medical Informatics Decis. Mak. 24(1): 20 (2024) - 2023
- [j42]Qinghua Zhou, Wenjun Tan, Qingya Li, Baoting Li, Luyu Zhou, Xin Liu, Jinzhu Yang, Dazhe Zhao:
A new segment method for pulmonary artery and vein. Health Inf. Sci. Syst. 11(1): 47 (2023) - [j41]Chaolu Feng, Shuaizheng Chen, Dazhe Zhao, Jinzhu Yang:
Region based level sets for image segmentation: a brief comparative review with a fast model FREEST. Multim. Tools Appl. 82(24): 37065-37095 (2023) - [c60]Weihao Dai, Chaolu Feng, Shuaizheng Chen, Wei Liu, Jinzhu Yang, Dazhe Zhao:
What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis. BIBM 2023: 1860-1863 - 2022
- [j40]Weidong Xie, Wei Li, Shoujia Zhang, Linjie Wang, Jinzhu Yang, Dazhe Zhao:
A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data. BMC Bioinform. 23(1): 303 (2022) - [j39]Xin Min, Wei Li, Jinzhao Yang, Weidong Xie, Dazhe Zhao:
An Improved AdaBoost for Prosecutorial Case-Workload Estimation via Case Grouping. Int. J. Comput. Intell. Syst. 15(1): 48 (2022) - [j38]Xin Min, Wei Li, Jinzhao Yang, Weidong Xie, Dazhe Zhao:
Dual-level diagnostic feature learning with recurrent neural networks for treatment sequence recommendation. J. Biomed. Informatics 134: 104165 (2022) - [c59]Yong Ji, Jun Li, Zhigang Huang, Weidong Xie, Dazhe Zhao:
A Data Dimensionality Reduction Method Based on mRMR and Genetic Algorithm for High-Dimensional Small Sample Data. WISA 2022: 485-496 - [c58]Jun Li, Yong Ji, Zhigang Huang, Xin Min, Dazhe Zhao:
Data Discretized Representation based on Entity Feature Learning with BERT. ICISCAE 2022: 368-375 - 2021
- [j37]Dapeng Li, Qihui Zhao, Jian Chen, Dazhe Zhao:
ADAN: An Intelligent Approach Based on Attentive Neural Network and Relevant Law Articles for Charge Prediction. IEEE Access 9: 90203-90211 (2021) - [j36]Shengjie Shang, Jing Sun, Zhibin Yue, Yingni Wang, Xiaoyu Wang, Yahong Luo, Dazhe Zhao, Tao Yu, Xiran Jiang:
Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors. Biomed. Signal Process. Control. 67: 102522 (2021) - [j35]Junchi Lu, Chaolu Feng, Jinzhu Yang, Wei Li, Dazhe Zhao, Chao Wan:
Segmentation of the cardiac ventricle using two layer level sets with prior shape constraint. Biomed. Signal Process. Control. 68: 102671 (2021) - [j34]Mingxu Huang, Chaolu Feng, Wei Li, Dazhe Zhao:
Vessel enhancement using Multi-scale Space-Intensity domain Fusion Adaptive filtering. Biomed. Signal Process. Control. 69: 102799 (2021) - 2020
- [j33]Chaolu Feng, Jinzhu Yang, Chunhui Lou, Wei Li, Kun Yu, Dazhe Zhao:
A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction. Comput. Math. Methods Medicine 2020: 7595174:1-7595174:18 (2020) - [j32]Wei Li, Chaolu Feng, Kun Yu, Dazhe Zhao:
MISS-D: A fast and scalable framework of medical image storage service based on distributed file system. Comput. Methods Programs Biomed. 186: 105189 (2020) - [j31]Wei Li, Kun Yu, Chaolu Feng, Dazhe Zhao:
SP-MIOV: A novel framework of shadow proxy based medical image online visualization in computing and storage resource restrained environments. Future Gener. Comput. Syst. 105: 318-330 (2020) - [j30]Zhaoxuan Gong, Wei Guo, Wei Zhou, Dazhe Zhao, Wenjun Tan, Guodong Zhang:
A Deep Learning Based Level Set Model for Pancreas Segmentation. J. Medical Imaging Health Informatics 10(11): 2681-2685 (2020) - [j29]Zhaoxuan Gong, Wei Guo, Wei Zhou, Dazhe Zhao, Wenjun Tan, Guodong Zhang:
A Deep Learning Based Level Set Model for Pancreas Segmentation. J. Medical Imaging Health Informatics 10(11): 2681-2685 (2020) - [j28]Chaolu Feng, Wei Li, Jun Hu, Kun Yu, Dazhe Zhao:
BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises. Signal Process. 168 (2020) - [c57]Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM 2020: 743-750 - [c56]Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM 2020: 1987-1994 - [c55]Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. ISICDM 2020: 14-18 - [c54]Junyi Yan, Jinzhu Yang, Wenjun Tan, Peng Cao, Lili Dou, Dazhe Zhao:
An atlas based level set method for 3D brain structures segmentation. ISICDM 2020: 104-107 - [c53]Guodong Zhang, Zhaoxuan Gong, Rui Xu, Wei Guo, Dazhe Zhao, Wenjun Tan, Wei Zhou:
Automatic hippocampus segmentation based on convolutional neural networks and level set model. ISICDM 2020: 151-155 - [c52]Chunyu Jiang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease. ISICDM 2020: 168-172 - [c51]Mingxu Huang, Chaolu Feng, Dazhe Zhao:
An Improved Method of Blood Vessel Enhancement Based on Hessian Matrix. ISICDM 2020: 197-200 - [c50]Guodong Zhang, Wei Guo, Lingyu Kong, Zhaoxuan Gong, Dazhe Zhao, Chong He, Cui Guo:
Unsupervised learning-based registration for T1 and T2 breast MRI images. ISICDM 2020: 225-228 - [c49]Zhaoxuan Gong, Zhi Liu, Wei Guo, Dazhe Zhao, Chong He, Yu Liu, Guodong Zhang:
Deep learning of deformable registration for breast DCE-MRI images. ISICDM 2020: 229-234
2010 – 2019
- 2019
- [j27]Wei Li, Kun Yu, Chaolu Feng, Dazhe Zhao:
Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data. Comput. Math. Methods Medicine 2019: 6978650:1-6978650:14 (2019) - [j26]Junchi Lu, Chaolu Feng, Dazhe Zhao:
Segmentation of the Cardiac Left Ventricle from Cine Magnetic Resonance Images Using Local Inhomogeneous Intensity Clustering with Prior Shape Constraint. J. Medical Imaging Health Informatics 9(1): 70-77 (2019) - [j25]Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao:
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease. Neuroinformatics 17(2): 271-294 (2019) - [c48]Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM 2019: 1-5 - [c47]Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM 2019: 1436-1442 - [c46]Wei Li, Chaolu Feng, Ci Jin, Qiang Chen, Haining Liu, Dazhe Zhao:
A Two-level Cloud Storage System Based on Asynchronous Message for Medical Image Big Data. BigCom 2019: 54-58 - [c45]Dongjie Wang, Kun Yu, Chaolu Feng, Dazhe Zhao, Xin Min, Wei Li:
Graph Cuts and Shape Constraint Based Automatic Femoral Head Segmentation in CT Images. ISICDM 2019: 1-6 - [c44]Junchi Lu, Chaolu Feng, Wei Li, Dazhe Zhao:
ROI Localization and Initialization Method for Left Ventricle Segmentation. ISICDM 2019: 12-16 - [c43]Zhaoxuan Gong, Zhenyu Zhu, Guodong Zhang, Dazhe Zhao, Wei Guo:
Convolutional Neural Networks Based Level Set Framework for Pancreas Segmentation from CT Images. ISICDM 2019: 27-30 - [c42]Wei Li, Wenping Zhou, Kun Yu, Chaolu Feng, Haixu Wang, Dazhe Zhao:
R4: A Client Server Architecture Oriented Open Three Dimensional Reconstruction Layered Reference Model for Medical Images. ISICDM 2019: 48-54 - [c41]Wei Guo, AdevianFairuz Pratama, Zhaoxuan Gong, Wei Zhou, Dazhe Zhao, Guodong Zhang:
Effective Representation of Three-Dimension Nodules for False-Positive Reduction in Pulmonary Nodule Detection. ISICDM 2019: 330-334 - 2018
- [j24]Xiaoli Liu, André R. Gonçalves, Peng Cao, Dazhe Zhao, Arindam Banerjee:
Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Comput. Medical Imaging Graph. 66: 100-114 (2018) - [j23]Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao:
Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease. Comput. Math. Methods Medicine 2018: 7429782:1-7429782:13 (2018) - [j22]Peng Cao, Xiaoli Liu, Hezi Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease. Comput. Methods Programs Biomed. 162: 19-45 (2018) - [j21]Hua Wang, Yingyou Wen, Dazhe Zhao:
Identifying localization attacks in wireless sensor networks using deep learning. J. Intell. Fuzzy Syst. 35(2): 1339-1351 (2018) - [j20]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 79: 195-215 (2018) - [j19]Xiaoli Liu, Peng Cao, André R. Gonçalves, Dazhe Zhao, Arindam Banerjee:
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Trans. Knowl. Discov. Data 12(6): 65:1-65:35 (2018) - [c40]Wenjun Tan, Ying Kang, Zhiwei Dong, Jinzhu Yang, Ying Su, Li Zhang, Lisheng Xu, Dazhe Zhao:
An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information. BIBM 2018: 1-8 - [c39]Wenjun Tan, Yao Liu, Jinzhu Yang, Hua Wang, Tongliang Wang, Yanchun Zhang, Dazhe Zhao:
A Pulmonary Vascular Segmentation Algorithm of Chest CT Images Based on Fast Marching Method. BIBM 2018: 1548-1555 - 2017
- [j18]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaïane:
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures. Comput. Biol. Medicine 91: 21-37 (2017) - [j17]Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, Osmar R. Zaïane:
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm. Comput. Medical Imaging Graph. 55: 54-67 (2017) - [j16]Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD. Comput. Methods Programs Biomed. 140: 211-231 (2017) - [j15]Chaolu Feng, Dazhe Zhao, Min Huang:
Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method. Neurocomputing 219: 107-129 (2017) - [j14]Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification. Neurocomputing 234: 38-57 (2017) - [j13]Hua Wang, Yingyou Wen, Dazhe Zhao:
Robust positioning algorithm based on relative location map for mobile wireless sensor networks. J. Intell. Fuzzy Syst. 32(5): 3695-3710 (2017) - [j12]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaïane:
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognit. 64: 327-346 (2017) - [j11]Peng Cao, Xuanfeng Shan, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 72: 219-235 (2017) - [c38]Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease. BI 2017: 202-212 - [c37]Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen:
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. MLMI@MICCAI 2017: 194-202 - [c36]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. MICCAI (3) 2017: 195-202 - 2016
- [j10]Wei Li, Peng Cao, Dazhe Zhao, Junbo Wang:
Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. Comput. Math. Methods Medicine 2016: 6215085:1-6215085:7 (2016) - [j9]Chaolu Feng, Dazhe Zhao, Min Huang:
Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization. J. Vis. Commun. Image Represent. 38: 517-529 (2016) - [j8]Chaolu Feng, Dazhe Zhao, Min Huang:
Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM). Signal Process. 122: 164-189 (2016) - [c35]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS 2016: 244-255 - [c34]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS 2016: 256-266 - 2015
- [j7]Lu Wang, Lisheng Xu, Dazhe Zhao, Yang Yao, Dan Song:
FPGA-based design and implementation of arterial pulse wave generator using piecewise Gaussian-cosine fitting. Comput. Biol. Medicine 59: 142-151 (2015) - [j6]Yingyou Wen, Zhi Li, Yinghui Meng, Dazhe Zhao:
A Two-Stage Range-Free Localization Method for Wireless Sensor Networks. Int. J. Distributed Sens. Networks 11: 908417:1-908417:12 (2015) - [j5]Jian Chen, Jie Jia, Enliang Dai, Yingyou Wen, Dazhe Zhao:
Bicriteria Optimization in Wireless Sensor Networks: Link Scheduling and Energy Consumption. J. Sensors 2015: 724628:1-724628:11 (2015) - [c33]Zhaoxuan Gong, Dazhe Zhao, Chunming Li, Wenjun Tan, Christos Davatzikos:
A Robust Energy Minimization Algorithm for MS-Lesion Segmentation. ISVC (1) 2015: 521-530 - [c32]Yihua Song, Zhaoxuan Gong, Dazhe Zhao, Chaolu Feng, Chunming Li:
Impact of the Number of Atlases in a Level Set Formulation of Multi-atlas Segmentation. ISVC (1) 2015: 531-537 - [c31]Chaolu Feng, Dazhe Zhao, Min Huang:
Segmentation of Ischemic Stroke Lesions in Multi-spectral MR Images Using Weighting Suppressed FCM and Three Phase Level Set. Brainles@MICCAI 2015: 233-245 - 2014
- [j4]Peng Cao, Jinzhu Yang, Wei Li, Dazhe Zhao, Osmar R. Zaïane:
Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Comput. Medical Imaging Graph. 38(3): 137-150 (2014) - [j3]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. 18(6): 1089-1108 (2014) - [j2]Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao:
Distributed Movement Control for Building a Ring in Mobile Wireless Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [c30]Wenjun Tan, Zijiang Bian, Jinzhu Yang, Huang Geng, Zhaoxuan Gong, Dazhe Zhao:
Hand Gesture Shape Descriptor Based on Energy-Ratio and Normalized Fourier Transform Coefficients. ICSI (2) 2014: 34-41 - 2013
- [c29]Wei Li, Dazhe Zhao, Jinzhu Yang, Longbing Cao:
An approach of hierarchical concept clustering on Medical Short Text corpus. BMEI 2013: 509-518 - [c28]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS 2013: 173-178 - [c27]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC 2013: 3981-3984 - [c26]Jingang Zhou, Zuozhong Yang, Dazhe Zhao, Jiren Liu:
A Hybrid Approach to Web Information System Modularization. ER Workshops 2013: 180-189 - [c25]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS 2013: 35-40 - [c24]Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane:
A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN 2013: 1-8 - [c23]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN 2013: 1-8 - [c22]Wei Li, Longbing Cao, Dazhe Zhao, Xia Cui, Jinzhu Yang:
CRNN: Integrating classification rules into neural network. IJCNN 2013: 1-8 - [c21]Chaolu Feng, Chunming Li, Dazhe Zhao, Christos Davatzikos, Harold Litt:
Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach. MICCAI (1) 2013: 477-484 - [c20]Zhi Li, Dazhe Zhao, Yingyou Wen, Yongzhong Mu:
Design of an OSGi-Based WSN Gateway. MSN 2013: 395-398 - [c19]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) 2013: 280-292 - [c18]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops 2013: 452-463 - 2012
- [c17]Jingang Zhou, Dazhe Zhao, Li Xu, Jiren Liu:
Do We Need Another Textual Language for Feature Modeling? - A Preliminary Evaluation on the XML Based Approach. SERA (selected papers) 2012: 97-111 - 2011
- [c16]Chunhong Cao, Chuan Tang, Dazhe Zhao, Bin Zhang, Chunyan Han:
Niche Improved Particle Swarm Optimization on Geometric Constraint Solving. CAD/Graphics 2011: 49-52 - [c15]Jingang Zhou, Dazhe Zhao, Jiren Liu:
A Lightweight Component-Based Development Approach for Enterprise Applications. COMPSAC Workshops 2011: 335-340 - [c14]Shaomin Zhang, Lijia Zhi, Dazhe Zhao, Hong Zhao:
Minimum Spanning Tree Hierarchically Fusing Multi-feature Points and High-Dimensional Features for Medical Image Registration. ICIG 2011: 263-266 - [c13]Jingang Zhou, Dazhe Zhao, Jiren Liu:
A Domain Specific Language for Interactive Enterprise Application Development. WISM (2) 2011: 351-360 - 2010
- [j1]Di Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Dazhe Zhao, Ge Yu:
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model. J. Digit. Content Technol. its Appl. 4(6): 144-149 (2010) - [c12]Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao, Jiren Liu:
Efficient link scheduling for TDMA based WMN using multi-objective genetic algorithm. BIC-TA 2010: 923-927 - [c11]Jingang Zhou, Yong Ji, Dazhe Zhao, Jiren Liu:
Platform Engineering in Enterprise Application Development. ICEE 2010: 112-115 - [c10]Lu Meng, Jing Xiang, Dazhe Zhao, Hong Zhao:
A New Application of MEG and DTI on Word Recognition. ICPR 2010: 2472-2475 - [c9]Jingang Zhou, Yong Ji, Dazhe Zhao, Xia Zhang:
Product Line Engineering in Enterprise Applications. SPLC 2010: 494 - [c8]Shaomin Zhang, Lijia Zhi, Dazhe Zhao, Hong Zhao:
Minimum Spanning Tree Fusing Multi-salient Points Hierarchically for Multi-modality Image Registration. VISAPP (2) 2010: 33-36
2000 – 2009
- 2009
- [c7]Jinzhu Yang, Yang Liu, Wei Li, Dazhe Zhao:
A Three-Dimensional Method for Detection of Pulmonary Nodule. BMEI 2009: 1-4 - [c6]Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao, Jiren Liu:
A genetic approach to channel assignment for multi-radio multi-channel wireless mesh networks. GEC Summit 2009: 39-46 - [c5]Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao, Jiren Liu:
Modeling and extending lifetime of wireless sensor networks using genetic algorithm. GEC Summit 2009: 47-54 - [c4]Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao, Jiren Liu:
Optimization of Resource Allocation in Multi-radio Multi-channel Wireless Mesh Networks. HIS (2) 2009: 240-244 - [c3]Lijia Zhi, Shaomin Zhang, Dazhe Zhao, Hongfei Yu, Hong Zhao, Shukuan Lin:
Learning Based Combining Different Features for Medical Image Retrieval. ICIG 2009: 969-972 - 2007
- [c2]Qixin Gao, Shengjun Wang, Dazhe Zhao, Jiren Liu:
Accurate Lung Segmentation For X-ray CT Images. ICNC (2) 2007: 275-279 - 2003
- [c1]Yushun Fan, Dazhe Zhao, Liqin Zhang, Shuangxi Huang, Bo Liu:
Manufacturing Grid: Needs, Concept, and Architecture. GCC (1) 2003: 653-656
1990 – 1999
- 1996
- [b1]Dazhe Zhao:
Konzepte und Architektur teamorientierter Softwareprojekt-Managementsysteme. Technical University of Berlin, Germany, Wiss.-und-Technik-Verlag Gross 1996, ISBN 978-3-928943-65-9, pp. 1-1810
Coauthor Index
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