Dazhe Zhao

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 69

Top Venues

ISICDM

BIBM

Comput. Math. Methods Medicine

Biomed. Signal Process. Control.

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

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) (2024)
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)
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) (2023)
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) (2023)
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) (2022)
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) (2022)
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)
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 (2022)
Jun Li, Yong Ji, Zhigang Huang, Xin Min, Dazhe Zhao
Data Discretized Representation based on Entity Feature Learning with BERT. ICISCAE (2022)
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 (2021)
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 (2021)
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 (2021)
Mingxu Huang, Chaolu Feng, Wei Li, Dazhe Zhao
Vessel enhancement using Multi-scale Space-Intensity domain Fusion Adaptive filtering. Biomed. Signal Process. Control. 69 (2021)
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 (2020)
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 (2020)
Mingxu Huang, Chaolu Feng, Dazhe Zhao
An Improved Method of Blood Vessel Enhancement Based on Hessian Matrix. ISICDM (2020)
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)
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)
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)
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)
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)
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) (2020)
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)
Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. ISICDM (2020)
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) (2020)
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)
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)
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 (2020)
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)
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 (2019)
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)
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)
Junchi Lu, Chaolu Feng, Wei Li, Dazhe Zhao
ROI Localization and Initialization Method for Left Ventricle Segmentation. ISICDM (2019)
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)
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) (2019)
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) (2019)
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)
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)
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)
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) (2018)
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)
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 (2018)
Hua Wang, Yingyou Wen, Dazhe Zhao
Identifying localization attacks in wireless sensor networks using deep learning. J. Intell. Fuzzy Syst. 35 (2) (2018)
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 (2018)
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)
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 (2018)
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 (2018)
Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification. Neurocomputing 234 (2017)
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)
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 (2017)
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 (2017)
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 (2017)
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)
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 (2017)
Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane
norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD. Comput. Methods Programs Biomed. 140 (2017)
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) (2017)
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)
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 (2017)
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 (2016)
Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS (2016)
Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS (2016)
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 (2016)
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 (2016)
Jian Chen, Jie Jia, Enliang Dai, Yingyou Wen, Dazhe Zhao
Bicriteria Optimization in Wireless Sensor Networks: Link Scheduling and Energy Consumption. J. Sensors 2015 (2015)
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)
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 (2015)
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 (2015)
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)
Zhaoxuan Gong, Dazhe Zhao, Chunming Li, Wenjun Tan, Christos Davatzikos
A Robust Energy Minimization Algorithm for MS-Lesion Segmentation. ISVC (1) (2015)
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) (2014)
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)
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)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. 18 (6) (2014)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS (2013)
Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane
A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN (2013)
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)
Zhi Li, Dazhe Zhao, Yingyou Wen, Yongzhong Mu
Design of an OSGi-Based WSN Gateway. MSN (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) (2013)
Jingang Zhou, Zuozhong Yang, Dazhe Zhao, Jiren Liu
A Hybrid Approach to Web Information System Modularization. ER Workshops (2013)
Wei Li, Dazhe Zhao, Jinzhu Yang, Longbing Cao
An approach of hierarchical concept clustering on Medical Short Text corpus. BMEI (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN (2013)
Wei Li, Longbing Cao, Dazhe Zhao, Xia Cui, Jinzhu Yang
CRNN: Integrating classification rules into neural network. IJCNN (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS (2013)
Peng Cao, Dazhe Zhao, Osmar R. Zaïane
Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC (2013)
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)
Chunhong Cao, Chuan Tang, Dazhe Zhao, Bin Zhang, Chunyan Han
Niche Improved Particle Swarm Optimization on Geometric Constraint Solving. CAD/Graphics (2011)
Jingang Zhou, Dazhe Zhao, Jiren Liu
A Domain Specific Language for Interactive Enterprise Application Development. WISM (2) (2011)
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)
Jingang Zhou, Dazhe Zhao, Jiren Liu
A Lightweight Component-Based Development Approach for Enterprise Applications. COMPSAC Workshops (2011)
Jingang Zhou, Yong Ji, Dazhe Zhao, Jiren Liu
Platform Engineering in Enterprise Application Development. ICEE (2010)
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) (2010)
Lu Meng, Jing Xiang, Dazhe Zhao, Hong Zhao
A New Application of MEG and DTI on Word Recognition. ICPR (2010)
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)
Jingang Zhou, Yong Ji, Dazhe Zhao, Xia Zhang
Product Line Engineering in Enterprise Applications. SPLC (2010)
Shaomin Zhang, Lijia Zhi, Dazhe Zhao, Hong Zhao
Minimum Spanning Tree Fusing Multi-salient Points Hierarchically for Multi-modality Image Registration. VISAPP (2) (2010)
Jinzhu Yang, Yang Liu, Wei Li, Dazhe Zhao
A Three-Dimensional Method for Detection of Pulmonary Nodule. BMEI (2009)
Lijia Zhi, Shaomin Zhang, Dazhe Zhao, Hongfei Yu, Hong Zhao, Shukuan Lin
Learning Based Combining Different Features for Medical Image Retrieval. ICIG (2009)
Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao, Jiren Liu
Modeling and extending lifetime of wireless sensor networks using genetic algorithm. GEC Summit (2009)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dazhe Zhao