Jinzhu Yang

Orcid: 0000-0002-7754-1273

According to our database1, Jinzhu Yang authored at least 122 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement.
IEEE Trans. Medical Imaging, July, 2024

Learning discriminative foreground-and-background features for few-shot segmentation.
Multim. Tools Appl., May, 2024

A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases.
IEEE J. Biomed. Health Informatics, March, 2024

Decentralized optimal control of large-scale partially unknown nonlinear mismatched interconnected systems based on dynamic event-triggered control.
Neurocomputing, February, 2024

Cinematic volume rendering algorithm based on multiple lights photon mapping.
Multim. Tools Appl., January, 2024

DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography.
Comput. Methods Programs Biomed., January, 2024

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation.
Neural Networks, 2024

GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation.
Neural Networks, 2024

BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis.
Medical Image Anal., 2024

A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection.
Medical Image Anal., 2024

A Bayesian network for simultaneous keyframe and landmark detection in ultrasonic cine.
Medical Image Anal., 2024

Adaptive Mix for Semi-Supervised Medical Image Segmentation.
CoRR, 2024

Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective.
CoRR, 2024

Label correlation guided discriminative label feature learning for multi-label chest image classification.
Comput. Methods Programs Biomed., 2024

Multi-residual 2D network integrating spatial correlation for whole heart segmentation.
Comput. Biol. Medicine, 2024

Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation.
Appl. Intell., 2024

Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2024

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

MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation.
Health Inf. Sci. Syst., December, 2023

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation.
Comput. Biol. Medicine, December, 2023

Label correlation guided borderline oversampling for imbalanced multi-label data learning.
Knowl. Based Syst., November, 2023

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

Topology-sensitive weighting model for myocardial segmentation.
Comput. Biol. Medicine, October, 2023

A comprehensive survey of intestine histopathological image analysis using machine vision approaches.
Comput. Biol. Medicine, October, 2023

3D vessel extraction using a scale-adaptive hybrid parametric tracker.
Medical Biol. Eng. Comput., September, 2023

Automatic prediction of acute coronary syndrome based on pericoronary adipose tissue and atherosclerotic plaques.
Comput. Medical Imaging Graph., September, 2023

FFANet - Full frequency attention net for automatic diastolic function assessment.
Biomed. Signal Process. Control., September, 2023

Graph Self-Supervised Learning With Application to Brain Networks Analysis.
IEEE J. Biomed. Health Informatics, August, 2023

LIVE-Net: Comprehensive 3D vessel extraction framework in CT angiography.
Comput. Biol. Medicine, June, 2023

EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography.
Comput. Biol. Medicine, April, 2023

Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.
Int. J. Comput. Assist. Radiol. Surg., April, 2023

Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading.
IEEE J. Biomed. Health Informatics, March, 2023

WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network.
Comput. Biol. Medicine, March, 2023

A unified framework of graph structure learning, graph generation and classification for brain network analysis.
Appl. Intell., March, 2023

BrainTGL: A dynamic graph representation learning model for brain network analysis.
Comput. Biol. Medicine, February, 2023

Learning what and where to segment: A new perspective on medical image few-shot segmentation.
Medical Image Anal., 2023

Exploring attention mechanism for graph similarity learning.
Knowl. Based Syst., 2023

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation.
CoRR, 2023

Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement.
CoRR, 2023

Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning.
Comput. Biol. Medicine, 2023

A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches.
Proceedings of the IEEE International Conference on Big Data, 2023

Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma.
Proceedings of the IEEE International Conference on Big Data, 2023

Self-Supervised Rotation Learning for 3D Segmentation on Nasopharyngeal Carcinoma MRI Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Label Correlation Guided Feature Selection for Multi-label Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.
Neuroinformatics, 2022

Automatic identification of septal flash phenomenon in patients with complete left bundle branch block.
Medical Image Anal., 2022

Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography.
Medical Biol. Eng. Comput., 2022

Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification.
Medical Biol. Eng. Comput., 2022

Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.
Medical Biol. Eng. Comput., 2022

Segmentation of lung airways based on deep learning methods.
IET Image Process., 2022

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.
Comput. Methods Programs Biomed., 2022

Transfer inhibitory potency prediction to binary classification: A model only needs a small training set.
Comput. Methods Programs Biomed., 2022

MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals.
Comput. Biol. Medicine, 2022

Vessel filtering and segmentation of coronary CT angiographic images.
Int. J. Comput. Assist. Radiol. Surg., 2022

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

2021
The lumbar region localization using bone anatomy feature graphs.
Medical Biol. Eng. Comput., 2021

MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT.
Comput. Medical Imaging Graph., 2021

Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network.
Comput. Biol. Medicine, 2021

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

Discovering the Style Information in Texts via A Reinforced Decision Process.
Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Text Style Transfer via an Enhanced Operation Pipeline.
Proceedings of the Computational Science - ICCS 2021, 2021

Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Aligning the training and evaluation of unsupervised text style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2021

Entity and Relation Matching Consensus for Entity Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Joint feature and task aware multi-task feature learning for Alzheimer's disease diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Frangi based multi-scale level sets for retinal vascular segmentation.
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

Vessel segmentation using multiscale vessel enhancement and a region based level set model.
Comput. Medical Imaging Graph., 2020

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

Computed Tomography for Preoperative Colorectal Staging Prediction Based on Deep Multi-task Learning: Colorectal Staging Prediction Based on Deep Multi-task Learning.
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

Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images.
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

Liver vessel segmentation based on densely connected three-dimensional fully convolutional neural network.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 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
Automatic Gradient Pre-Emphasis Adjustment for Permanent MRI System.
J. Medical Imaging Health Informatics, 2019

A Novel Automatic Coronary Artery Segmentation Method Based on Region Growing with Annular and Spherical Sector Partition.
J. Medical Imaging Health Informatics, 2019

A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Review of Intelligent Image Processing Method of Pulmonary CT Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 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
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease.
Pattern Recognit., 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

Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis.
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
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules.
Pattern Recognit., 2017

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

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 distance-field based automatic neuron tracing method.
BMC Bioinform., 2013

CRNN: Integrating classification rules into neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 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
Research on Preprocessing Algorithm for PET-CT Image Registration.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

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

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

2007
Study and Application of Medical Image Visualization Technology.
Proceedings of the Digital Human Modeling, 2007


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