A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images. - Chen Zhao 022; Joyce H. Keyak; Jinshan Tang; Tadashi S. Kaneko; Sundeep Khosla; Shreyasee Amin; Elizabeth J. Atkinson; Lan-Juan Zhao; Michael J. Serou; Chaoyang Zhang; Hui Shen 007; Hong-Wen Deng; et al. (CoRR, 2020)

Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms. - Chen Zhao 022; Aviral Vij; Saurabh Malhotra; Jinshan Tang; Haipeng Tang; Drew Pienta; Zhihui Xu; Weihua Zhou (Comput. Biol. Medicine, 2021)

A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms. - Chen Zhao 022; Haipeng Tang; Daniel McGonigle; Zhuo He; Chaoyang Zhang; Yu-Ping Wang 002; Hong-Wen Deng; Robert Bober; Weihua Zhou (CoRR, 2021)

A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images. - Yu Deng; Ling Wang; Chen Zhao 022; Shaojie Tang 002; Xiaoguang Cheng; Hong-Wen Deng; Weihua Zhou (CoRR, 2021)

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images. - Chen Zhao 022; Yan Xu; Zhuo He; Jinshan Tang; Yijun Zhang; Jungang Han; Yuxin Shi; Weihua Zhou (Pattern Recognit., 2021)

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. - Fubao Zhu; Jinyu Zhao; Chen Zhao 022; Shaojie Tang 002; Jiaofen Nan; Yanting Li; Zhongqiang Zhao; Jianzhou Shi; Zenghong Chen; Zhixin Jiang; Weihua Zhou (CoRR, 2022)

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms. - Yinghui Meng; Zhenglong Du; Chen Zhao 022; Minghao Dong; Drew Pienta; Zhihui Xu; Weihua Zhou (CoRR, 2022)

Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength. - Chen Zhao 022; Joyce H. Keyak; Xuewei Cao; Qiuying Sha; Li Wu; Zhe Luo; Lanjuan Zhao; Qing Tian 004; Chuan Qiu; Ray Su; Hui Shen 007; Hong-Wen Deng; et al. (CoRR, 2022)

Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads. - Xuewei Cao; Joyce H. Keyak; Sigurdur Sigurdsson; Chen Zhao 022; Weihua Zhou; Anqi Liu; Thomas Lang; Hong-Wen Deng; Vilmundur Gudnason; Qiuying Sha (CoRR, 2022)

A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images. - Yu Deng; Ling Wang; Chen Zhao 022; Shaojie Tang 002; Xiaoguang Cheng; Hong-Wen Deng; Weihua Zhou (Medical Biol. Eng. Comput., 2022)

A novel method for ECG signal classification via one-dimensional convolutional neural network. - Xuan Hua; Jungang Han; Chen Zhao 022; Haipeng Tang; Zhuo He; Qinghui Chen; Shaojie Tang 002; Jinshan Tang; Weihua Zhou (Multim. Syst., 2022)

A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection. - Ni Yao; Yanhui Tian; Daniel Gama das Neves; Chen Zhao 022; Cláudio Tinoco Mesquita; Wolney de Andrade Martins; Alair Augusto Sarmet Moreira Damas dos Santos; Yanting Li; Chuang Han; Fubao Zhu; Neng Dai; Weihua Zhou (CoRR, 2023)

CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. - Chen Zhao 022; Anqi Liu; Xiao Zhang; Xuewei Cao; Zhengming Ding; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2023)

A new method using deep learning to predict the response to cardiac resynchronization therapy. - Kristoffer Larsen; Zhuo He; Chen Zhao 022; Xinwei Zhang; Qiuying Sha; Cláudio Tinoco Mesquita; Diana Paez; Ernest V. Garciaf; Jiangang Zou; Amalia Peix; Weihua Zhou (CoRR, 2023)

Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling. - Chen Zhao 022; Michele Esposito; Zhihui Xu; Weihua Zhou (CoRR, 2023)

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification. - Kristoffer Larsen; Chen Zhao 022; Joyce H. Keyak; Qiuying Sha; Diana Paez; Xinwei Zhang; Jiangang Zou; Amalia Peix; Weihua Zhou (CoRR, 2023)

Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. - Chen Zhao 022; Kuan-Jui Su; Chong Wu; Xuewei Cao; Qiuying Sha; Wu Li; Zhe Luo; Tian Qin; Chuan Qiu; Lan Juan Zhao; Anqi Liu; Lindong Jiang; et al. (CoRR, 2023)

A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images. - Ni Yao; Hang Hu 020; Kaicong Chen; Chen Zhao 022; Yuan Guo; Boya Li; Jiaofen Nan; Yanting Li; Chuang Han; Fubao Zhu; Weihua Zhou; Li Tian (CoRR, 2023)

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. - Fubao Zhu; Longxi Li; Jinyu Zhao; Chen Zhao 022; Shaojie Tang 002; Jiaofen Nan; Yanting Li; Zhongqiang Zhao; Jianzhou Shi; Zenghong Chen; Chuang Han; Zhixin Jiang; et al. (Comput. Biol. Medicine, 2023)

EAGMN: Coronary artery semantic labeling using edge attention graph matching network. - Chen Zhao 022; Zhihui Xu; Guang-Uei Hung; Weihua Zhou (Comput. Biol. Medicine, 2023)

AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms. - Chen Zhao 022; Zhihui Xu; Jingfeng Jiang; Michele Esposito; Drew Pienta; Guang-Uei Hung; Weihua Zhou (Pattern Recognit., 2023)

Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data. - Chen Zhao 022; Kuan-Jui Su; Chong Wu; Xuewei Cao; Qiuying Sha; Wu Li; Zhe Luo; Qing Tian 004; Chuan Qiu; Lan Juan Zhao; Anqi Liu; Lindong Jiang; et al. (Comput. Biol. Medicine, 2024)

Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA. - Shaojie Tang 002; Penpen Miao; Xingyu Gao; Yu Zhong; Dantong Zhu; Haixing Wen; Zhihui Xu; Qiuyue Wei; Hongping Yao; Xin Huang; Rui Gao; Chen Zhao 022; et al. (CoRR, 2024)

A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture. - Anjum Shaik; Kristoffer Larsen; Nancy E. Lane; Chen Zhao 022; Kuan-Jui Su; Joyce H. Keyak; Qing Tian 004; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2024)

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data. - Liang Tao; Yixin Xie; Jeffrey D. Deng; Hui Shen 007; Hong-Wen Deng; Weihua Zhou; Chen Zhao 022 (CoRR, 2024)

CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. - Chen Zhao 022; Anqi Liu; Xiao Zhang; Xuewei Cao; Zhengming Ding; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (Comput. Biol. Medicine, 2024)

A Hybrid Approach of Data Mining and Deep Learning for Network Intrusion Detection. - Md Shamsul Alam; Yash Rakeshbhai Patel; Yaswanthsrinivas Gurram; Chen Zhao 022; Dan Lo 001 (ACM Southeast Regional Conference, 2025)

Staged Multi-Omics Data Classification for Breast Cancer Diagnosis. - Shrikar Kolla; Dan Lo 001; Chen Zhao 022 (ACM Southeast Regional Conference, 2025)

ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images. - Chen Zhao 022; Anjum Shaik; Joyce H. Keyak; Nancy E. Lane; Jeffrey D. Deng; Kuan-Jui Su; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2025)