Chen Zhao
Orcid: 0000-0002-5782-3329Affiliations:
- Kennesaw State University, Marietta, GA, USA
According to our database1,
Chen Zhao authored at least 43 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Uncertainty-Guided Conservative Propagation for Structured Inference in Vessel Segmentation.
CoRR, May, 2026
CoRR, April, 2026
Improving Generalizability of Hip Fracture Risk Prediction via Domain Adaptation Across Multiple Cohorts.
CoRR, February, 2026
An uncertainty-aware dynamic decision framework for progressive multi-omics integration in classification tasks.
Comput. Methods Programs Biomed., 2026
PF-DAformer: proximal femur segmentation via domain adaptive transformer for dual-center QCT.
Biomed. Signal Process. Control., 2026
Multi-Cohort Structural Magnetic Resonance Imaging-Based Alzheimer's Disease Staging Using Convolution Neural Network.
Proceedings of the 2026 ACM Southeast Conference, 2026
2025
Anatomy Guided Coronary Artery Segmentation from CCTA Using Spatial Frequency Joint Modeling.
CoRR, December, 2025
UG-FedDA: Uncertainty-Guided Federated Domain Adaptation for Multi-Center Alzheimer's Disease Detection.
CoRR, December, 2025
An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using Multiple Datasets.
CoRR, October, 2025
ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images.
CoRR, April, 2025
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images.
J. Imaging Inform. Medicine, 2025
A New Method of Modeling the Multi-stage Decision-Making Process of CRT Using Machine Learning with Uncertainty Quantification.
J. Imaging Inform. Medicine, 2025
Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025
Proceedings of the 2025 ACM Southeast Conference, 2025
Proceedings of the 2025 ACM Southeast Conference, 2025
2024
CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.
Comput. Biol. Medicine, March, 2024
SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data.
CoRR, 2024
A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture.
CoRR, 2024
CoRR, 2024
Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.
Comput. Biol. Medicine, 2024
2023
AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms.
Pattern Recognit., November, 2023
EAGMN: Coronary artery semantic labeling using edge attention graph matching network.
Comput. Biol. Medicine, November, 2023
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images.
Comput. Biol. Medicine, June, 2023
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images.
CoRR, 2023
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics.
CoRR, 2023
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification.
CoRR, 2023
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling.
CoRR, 2023
A new method using deep learning to predict the response to cardiac resynchronization therapy.
CoRR, 2023
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.
CoRR, 2023
A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection.
CoRR, 2023
ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation.
Complex Intell. Syst., 2023
2022
A novel method for ECG signal classification via one-dimensional convolutional neural network.
Multim. Syst., 2022
A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images.
Medical Biol. Eng. Comput., 2022
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads.
CoRR, 2022
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength.
CoRR, 2022
Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.
CoRR, 2022
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images.
CoRR, 2022
2021
Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images.
Pattern Recognit., 2021
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images.
CoRR, 2021
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms.
CoRR, 2021
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms.
Comput. Biol. Medicine, 2021
2020
A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images.
CoRR, 2020