Jinzhu Yang

发表

Eight pairs of descending visual neurons in the dragonfly give wing motor centers accurate population vector of prey direction

A. Georgopoulos, Hanchuan Peng, P. Gonzalez-Bellido, 2012, Proceedings of the National Academy of Sciences.

A Review of Intelligent Image Processing Method of Pulmonary CT Images

Yanchun Zhang, Hui Guo, Wenjun Tan, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Review of the Application of Virtual Reality Technology in the Diagnosis and Treatment of Cognitive Impairment

Jinzhu Yang, Wenjun Tan, Yanchun Zhang, 2019, Front. Aging Neurosci..

An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information

Ying Su, Dazhe Zhao, Li Zhang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A distance-field based automatic neuron tracing method

Hanchuan Peng, Jinzhu Yang, Paloma T. Gonzalez-Bellido, 2013, BMC Bioinformatics.

Improved Hessian multiscale enhancement filter.

Jinzhu Yang, Wenjun Tan, Dazhe Zhao, 2014, Bio-medical materials and engineering.

The improved differential demon algorithm.

Jinzhu Yang, Wenjun Tan, Dazhe Zhao, 2017, Technology and health care : official journal of the European Society for Engineering and Medicine.

White matter abnormalities in children and adolescents with temporal lobe epilepsy.

Jinzhu Yang, R. Kotecha, D. Rose, 2010, Magnetic resonance imaging.

An image-enhancement method based on variable-order fractional differential operators.

Jinzhu Yang, Dazhe Zhao, Hong Zhao, 2015, Bio-medical materials and engineering.

Accurate airway centerline extraction based on topological thinning using graph-theoretic analysis.

Dazhe Zhao, Wenjun Tan, Jinzhu Yang, 2014, Bio-medical materials and engineering.

The Algorithm of Nonlinear Interpolation Segmentation Based on Distance Mask

Xinthe Xu, Jinzhu Yang, Tong Jia, 2006, 2006 International Conference on Machine Learning and Cybernetics.

Modeling the dynamic brain network representation for autism spectrum disorder diagnosis

Osmar R Zaiane, Jinzhu Yang, O. Zaiane, 2022, Medical & Biological Engineering & Computing.

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2022, Comput. Methods Programs Biomed..

Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification

Osmar R Zaiane, Jinzhu Yang, O. Zaiane, 2022, Medical & Biological Engineering & Computing.

Automatic Extraction of 3D Airway Tree from Multislice Computed Tomography Images

Zhaoxuan Gong, Dazhe Zhao, Wenjun Tan, 2014 .

Vessel filtering and segmentation of coronary CT angiographic images

Jinzhu Yang, Wenjun Tan, Chaolu Feng, 2022, International Journal of Computer Assisted Radiology and Surgery.

Joint feature and task aware multi-task feature learning for Alzheimer’s disease diagnosis

Jinzhu Yang, Peng Cao, Shan Tang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data

Jinzhu Yang, Dazhe Zhao, Wei Li, 2022, BMC Bioinformatics.

A unified framework of graph structure learning, graph generation and classification for brain network analysis

Osmar R Zaiane, Jinzhu Yang, O. Zaiane, 2022, Applied Intelligence.

Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2022, International Journal of Computer Assisted Radiology and Surgery.

Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography

Jinzhu Yang, Wenjun Tan, Chaolu Feng, 2022, Medical & Biological Engineering & Computing.

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

Dazhe Zhao, Min Huang, Xiaoli Liu, 2018, Pattern Recognit..

Automated vessel segmentation in lung CT and CTA images via deep neural networks.

Jinzhu Yang, Wenjun Tan, Xiaoshuo Li, 2021, Journal of X-ray science and technology.

A p r 2023 C O - TRAINING WITH H IGH -C ONFIDENCE P SEUDO L ABELS FOR S EMI - SUPERVISED M EDICAL I MAGE S EGMENTATION

Osmar R. Zaiane, Osmar R Zaiane, Zhiqiang Shen, 2023 .

MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals

Fen Miao, Jinzhu Yang, Hailiang Wang, 2021, Comput. Biol. Medicine.

TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2021, Neuroinformatics.

Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction

Osmar R. Zaïane, Hao Jiang, Peng Cao, 2020, Comput. Biol. Medicine.

Lesion-Specific Peri-Coronary Fat Attenuation Index Is Associated With Functional Myocardial Ischemia Defined by Abnormal Fractional Flow Reserve

Jinzhu Yang, Lei Xu, Yue Ma, 2021, Frontiers in Cardiovascular Medicine.

Fully automatic extraction of lung parenchyma from CT scans

Dazhe Zhao, Wenjun Tan, Jinzhu Yang, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures

Jian Zhang, Dazhe Zhao, Min Huang, 2017, Comput. Biol. Medicine.

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease

Dazhe Zhao, Min Huang, Xiaoli Liu, 2018, Comput. Methods Programs Biomed..

A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules

Wei Li, Dazhe Zhao, Min Huang, 2017, Pattern Recognit..

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease

Dazhe Zhao, Xiaoli Liu, Peng Cao, 2018, Comput. Math. Methods Medicine.

PET/CT medical image fusion algorithm based on multiwavelet transform

Jinzhu Yang, Yuhui Liu, Jinshan Sun, 2010, 2010 2nd International Conference on Advanced Computer Control.

Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography

Jinzhu Yang, Q. Ma, Yue Ma, 2021, European Radiology.

A review on segmentation of lung parenchyma based on deep learning methods.

Jinzhu Yang, Wenjun Tan, Pei-Chi Huang, 2021, Journal of X-ray science and technology.

Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning

Jinzhu Yang, Wenjun Tan, Pan Liu, 2021, Journal of healthcare engineering.

Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis

Osmar R. Zaïane, Chao Wan, Peng Cao, 2018, Comput. Medical Imaging Graph..

MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation

Osmar R. Zaiane, Hong Wang, Jinzhu Yang, 2023, Health Information Science and Systems.

nsemble-based hybrid probabilistic sampling for imbalanced data earning in lung nodule CAD

Wei Li, Dazhe Zhao, Osmar R. Zaïane, 2014 .

A Block Advanced PCA Fusion Algorithm Based on PET/CT

Dazhe Zhao, Fangfang Han, Jinzhu Yang, 2011, 2011 Fourth International Conference on Intelligent Computation Technology and Automation.

Transfer inhibitory potency prediction to binary classification: A model only needs a small training set

Jinzhu Yang, Jie Tan, Haowen Dou, 2022, Comput. Methods Programs Biomed..

Segmentation of lung airways based on deep learning methods

Jinzhu Yang, Wenjun Tan, Pan Liu, 2022, IET Image Process..

MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2021, Comput. Medical Imaging Graph..

A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images

Dazhe Zhao, Jinzhu Yang, Peng Cao, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Adaptive fast marching method for automatic liver segmentation from CT images.

Jinzhu Yang, Xiaoyang Huang, Ming Cheng, 2013, Medical physics.

EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography

Jinzhu Yang, Chaolu Feng, Peng Cao, 2023, Comput. Biol. Medicine.

BrainTGL: A dynamic graph representation learning model for brain network analysis

Jinzhu Yang, O. Zaiane, Xizhe Zhang, 2023, Comput. Biol. Medicine.

Learning what and where to segment: A new perspective on medical image few-shot segmentation

Jinzhu Yang, Honghe Li, Yonghuai Wang, 2023, Medical Image Anal..

Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2023, ArXiv.

A coronary artery segmentation method based on region growing with variable sector search area

Hong Zhao, Jinzhu Yang, Guangkun Ma, 2020, Technology and health care : official journal of the European Society for Engineering and Medicine.

The lumbar region localization using bone anatomy feature graphs

Jinzhu Yang, Yan Huang, Shuang Ma, 2021, Medical & Biological Engineering & Computing.

Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning

Kai Zhang, Osmar R Zaiane, Jinzhu Yang, 2022, Comput. Biol. Medicine.

Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network

Peng Cao, Osmar R. Zaïane, Jinzhu Yang, 2021, Comput. Biol. Medicine.

Aligning the training and evaluation of unsupervised text style Transfer

Songlin Hu, Jizhong Han, Jinzhu Yang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic prediction of acute coronary syndrome based on pericoronary adipose tissue and atherosclerotic plaques.

Jinzhu Yang, Yang Hou, Chaolu Feng, 2023, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Segmentation of the cardiac ventricle using two layer level sets with prior shape constraint

Dazhe Zhao, Chaolu Feng, Jinzhu Yang, 2021, Biomed. Signal Process. Control..

FFANet—Full frequency attention net for automatic diastolic function assessment

Jinzhu Yang, Peng Cao, Honghe Li, 2023, Biomedical Signal Processing and Control.

Region based level sets for image segmentation: a brief comparative review with a fast model FREEST

Jinzhu Yang, Dazhe Zhao, Chaolu Feng, 2023, Multimedia tools and applications.

An atlas based level set method for 3D brain structures segmentation

Jinzhu Yang, Wenjun Tan, Dazhe Zhao, 2020, ISICDM.

Frangi based multi-scale level sets for retinal vascular segmentation

Chaolu Feng, Jie Fu, Jinzhu Yang, 2020, Comput. Methods Programs Biomed..

A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction

Kun Yu, Chaolu Feng, Wei Li, 2020, Comput. Math. Methods Medicine.

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2022, Comput. Methods Programs Biomed..

CRNN: Integrating classification rules into neural network

Wei Li, Longbing Cao, Dazhe Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis

Jinzhu Yang, O. Zaiane, Peng Cao, 2023 .

A Novel Automatic Coronary Artery Segmentation Method Based on Region Growing with Annular and Spherical Sector Partition

Jinzhu Yang, Hong Zhao, Youqun Huang, 2019, J. Medical Imaging Health Informatics.

WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2023, Comput. Biol. Medicine.

Entity and Relation Matching Consensus for Entity Alignment

Songlin Hu, Wei Zhou, Jinzhu Yang, 2021, CIKM.

Vessel segmentation using multiscale vessel enhancement and a region based level set model

Chaolu Feng, Jie Fu, Jinzhu Yang, 2020, Comput. Medical Imaging Graph..

A comprehensive survey of intestine histopathological image analysis using machine vision approaches.

Xirong Li, Jinzhu Yang, Tianming Du, 2023, Computers in biology and medicine.

Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading

Jinzhu Yang, O. Zaiane, Peng Cao, 2022, IEEE Journal of Biomedical and Health Informatics.

Automatic identification of septal flash phenomenon in patients with complete left bundle branch block

Jinzhu Yang, Chun-yan Ma, Honghe Li, 2022, Medical Image Anal..

Graph Self-Supervised Learning With Application to Brain Networks Analysis

Osmar R. Zaiane, Jinzhu Yang, O. Zaiane, 2023, IEEE Journal of Biomedical and Health Informatics.

Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Osmar R Zaiane, Jinzhu Yang, Peng Cao, 2023, IJCAI.

Label correlation guided borderline oversampling for imbalanced multi-label data learning

Osmar R. Zaiane, Jinzhu Yang, Peng Cao, 2023, Knowledge-Based Systems.

3D vessel extraction using a scale-adaptive hybrid parametric tracker

Jinzhu Yang, Yang Hou, Shuang Ma, 2023, Medical & Biological Engineering & Computing.

LIVE-Net: Comprehensive 3D vessel extraction framework in CT angiography

Jinzhu Yang, Yang Hou, Chen Chen, 2023, Comput. Biol. Medicine.

Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks

Jinzhu Yang, Peng Cao, Pengfei Zhao, 2023, MICCAI.

4D Real-Time Cardiac MDCT Image Volume Rendering Method Research Based on GPU Texture Mapping

Dazhe Zhao, Chaolu Feng, Jinzhu Yang, 2010 .

An Adaptive Clustering Algorithm of Gaussian Curve Fitting the Histogram Based on K-Means

Jinzhu Yang, Hong Zhao, Guangkun Ma, 2019, 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS).

Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis

Jinzhu Yang, Peng Cao, Xiaoli Liu, 2023, MICCAI.

Automatic Hippocampus Segmentation of Magnetic Resonance Imaging Images Using Multiple Atlases

Yihua Song, Zhaoxuan Gong, Dazhe Zhao, 2016 .

A Modified MRF Algorithm Based on Neighborhood Spatial Information for MRI Brain Tissue Segmentation

Yihua Song, Dazhe Zhao, Wenjun Tan, 2017 .

Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease

Dazhe Zhao, Xiaoli Liu, Osmar R. Zaïane, 2017, BI.

Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease

Dazhe Zhao, Xiaoli Liu, Osmar R. Zaïane, 2017, MICCAI.

3D Multi-Scale Pulmonary Vascular Segmentation Algorithm Based on Multi-Label MRF Optimization

Dazhe Zhao, Wenjun Tan, Jinzhu Yang, 2016 .