Dazhe Zhao

According to our database1, Dazhe Zhao authored at least 103 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Temporal topic model for clinical pathway mining from electronic medical records.
BMC Medical Informatics Decis. Mak., December, 2024

2023
A new segment method for pulmonary artery and vein.
Health Inf. Sci. Syst., December, 2023

Region based level sets for image segmentation: a brief comparative review with a fast model FREEST.
Multim. Tools Appl., October, 2023

What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Dual-level diagnostic feature learning with recurrent neural networks for treatment sequence recommendation.
J. Biomed. Informatics, 2022

An Improved AdaBoost for Prosecutorial Case-Workload Estimation via Case Grouping.
Int. J. Comput. Intell. Syst., 2022

A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data.
BMC Bioinform., 2022

Data Discretized Representation based on Entity Feature Learning with BERT.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

A Data Dimensionality Reduction Method Based on mRMR and Genetic Algorithm for High-Dimensional Small Sample Data.
Proceedings of the Web Information Systems and Applications, 2022

2021
Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors.
Biomed. Signal Process. Control., 2021

Segmentation of the cardiac ventricle using two layer level sets with prior shape constraint.
Biomed. Signal Process. Control., 2021

Vessel enhancement using Multi-scale Space-Intensity domain Fusion Adaptive filtering.
Biomed. Signal Process. Control., 2021

ADAN: An Intelligent Approach Based on Attentive Neural Network and Relevant Law Articles for Charge Prediction.
IEEE Access, 2021

2020
BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises.
Signal Process., 2020

A Deep Learning Based Level Set Model for Pancreas Segmentation.
J. Medical Imaging Health Informatics, 2020

SP-MIOV: A novel framework of shadow proxy based medical image online visualization in computing and storage resource restrained environments.
Future Gener. Comput. Syst., 2020

MISS-D: A fast and scalable framework of medical image storage service based on distributed file system.
Comput. Methods Programs Biomed., 2020

A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction.
Comput. Math. Methods Medicine, 2020

Unsupervised learning-based registration for T1 and T2 breast MRI images.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

An Auto-Encoding Generative Adversarial Networks for Generating Brain Network.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

An atlas based level set method for 3D brain structures segmentation.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

An Improved Method of Blood Vessel Enhancement Based on Hessian Matrix.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Deep learning of deformable registration for breast DCE-MRI images.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Automatic hippocampus segmentation based on convolutional neural networks and level set model.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.
Neuroinformatics, 2019

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, 2019

Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data.
Comput. Math. Methods Medicine, 2019

Graph Cuts and Shape Constraint Based Automatic Femoral Head Segmentation in CT Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

ROI Localization and Initialization Method for Left Ventricle Segmentation.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

R4: A Client Server Architecture Oriented Open Three Dimensional Reconstruction Layered Reference Model for Medical Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Effective Representation of Three-Dimension Nodules for False-Positive Reduction in Pulmonary Nodule Detection.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Convolutional Neural Networks Based Level Set Framework for Pancreas Segmentation from CT Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

A Two-level Cloud Storage System Based on Asynchronous Message for Medical Image Big Data.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019

Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso.
ACM Trans. Knowl. Discov. Data, 2018

ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease.
Pattern Recognit., 2018

Identifying localization attacks in wireless sensor networks using deep learning.
J. Intell. Fuzzy Syst., 2018

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
Comput. Methods Programs Biomed., 2018

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.
Comput. Math. Methods Medicine, 2018

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.
Comput. Medical Imaging Graph., 2018

A Pulmonary Vascular Segmentation Algorithm of Chest CT Images Based on Fast Marching Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease.
Pattern Recognit., 2017

A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules.
Pattern Recognit., 2017

Robust positioning algorithm based on relative location map for mobile wireless sensor networks.
J. Intell. Fuzzy Syst., 2017

Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method.
Neurocomputing, 2017

ℓ<sub>2, 1</sub> norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification.
Neurocomputing, 2017

A ℓ<sub>2, 1</sub> norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.
Comput. Methods Programs Biomed., 2017

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.
Comput. Medical Imaging Graph., 2017

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.
Comput. Biol. Medicine, 2017

Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease.
Proceedings of the Brain Informatics - International Conference, 2017

2016
Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM).
Signal Process., 2016

Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization.
J. Vis. Commun. Image Represent., 2016

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.
Comput. Math. Methods Medicine, 2016

Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

2015
Bicriteria Optimization in Wireless Sensor Networks: Link Scheduling and Energy Consumption.
J. Sensors, 2015

A Two-Stage Range-Free Localization Method for Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2015

FPGA-based design and implementation of arterial pulse wave generator using piecewise Gaussian-cosine fitting.
Comput. Biol. Medicine, 2015

Segmentation of Ischemic Stroke Lesions in Multi-spectral MR Images Using Weighting Suppressed FCM and Three Phase Level Set.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Impact of the Number of Atlases in a Level Set Formulation of Multi-atlas Segmentation.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

A Robust Energy Minimization Algorithm for MS-Lesion Segmentation.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014
Distributed Movement Control for Building a Ring in Mobile Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2014

Hybrid probabilistic sampling with random subspace for imbalanced data learning.
Intell. Data Anal., 2014

Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD.
Comput. Medical Imaging Graph., 2014

Hand Gesture Shape Descriptor Based on Energy-Ratio and Normalized Fourier Transform Coefficients.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

An Optimized Cost-Sensitive SVM for Imbalanced Data Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Design of an OSGi-Based WSN Gateway.
Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013

Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

CRNN: Integrating classification rules into neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A novel cost sensitive neural network ensemble for multiclass imbalance data learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

A Hybrid Approach to Web Information System Modularization.
Proceedings of the Advances in Conceptual Modeling, 2013

Measure oriented cost-sensitive SVM for 3D nodule detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

An approach of hierarchical concept clustering on Medical Short Text corpus.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012
Do We Need Another Textual Language for Feature Modeling? - A Preliminary Evaluation on the XML Based Approach.
Proceedings of the Software Engineering Research, 2012

2011
A Domain Specific Language for Interactive Enterprise Application Development.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

Minimum Spanning Tree Hierarchically Fusing Multi-feature Points and High-Dimensional Features for Medical Image Registration.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

A Lightweight Component-Based Development Approach for Enterprise Applications.
Proceedings of the Workshop Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

Niche Improved Particle Swarm Optimization on Geometric Constraint Solving.
Proceedings of the 12th International Conference on Computer-Aided Design and Computer Graphics, 2011

2010
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model.
J. Digit. Content Technol. its Appl., 2010

Minimum Spanning Tree Fusing Multi-salient Points Hierarchically for Multi-modality Image Registration.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Product Line Engineering in Enterprise Applications.
Proceedings of the Software Product Lines: Going Beyond - 14th International Conference, 2010

A New Application of MEG and DTI on Word Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Platform Engineering in Enterprise Application Development.
Proceedings of the International Conference on E-Business and E-Government, 2010

Efficient link scheduling for TDMA based WMN using multi-objective genetic algorithm.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Learning Based Combining Different Features for Medical Image Retrieval.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

Optimization of Resource Allocation in Multi-radio Multi-channel Wireless Mesh Networks.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

A genetic approach to channel assignment for multi-radio multi-channel wireless mesh networks.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Modeling and extending lifetime of wireless sensor networks using genetic algorithm.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A Three-Dimensional Method for Detection of Pulmonary Nodule.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2007
Accurate Lung Segmentation For X-ray CT Images.
Proceedings of the Third International Conference on Natural Computation, 2007

2003
Manufacturing Grid: Needs, Concept, and Architecture.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

1996
Konzepte und Architektur teamorientierter Softwareprojekt-Managementsysteme.
PhD thesis, 1996


  Loading...