Jinzhu Yang
Orcid: 0000-0002-7754-1273
According to our database1,
Jinzhu Yang
authored at least 122 papers
between 2007 and 2024.
Collaborative distances:
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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
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
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
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
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
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
Comput. Biol. Medicine, October, 2023
A comprehensive survey of intestine histopathological image analysis using machine vision approaches.
Comput. Biol. Medicine, October, 2023
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
Biomed. Signal Process. Control., September, 2023
IEEE J. Biomed. Health Informatics, August, 2023
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
Comput. Biol. Medicine, February, 2023
Learning what and where to segment: A new perspective on medical image few-shot segmentation.
Medical Image Anal., 2023
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
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
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
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
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
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
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
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
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
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
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
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
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
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
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013
2012
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
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
2007
Proceedings of the Digital Human Modeling, 2007