Chen Zhao - RankMe

39 papers B 1Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An uncertainty-aware dynamic decision framework for progressive multi-omics integration in classification tasks. Comput. Methods Programs Biomed. Nan Mu, Hongbo Yang, Chen Zhao
2026	J	`jnl`	Improving Generalizability of Hip Fracture Risk Prediction via Domain Adaptation Across Multiple Cohorts. CoRR Shuo Sun, Meiling Zhou, Chen Zhao, Joyce H. Keyak, Nancy E. Lane, Jeffrey D. Deng, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Kui Zhang, Weihua Zhou
2025	—	`conf`	A Hybrid Approach of Data Mining and Deep Learning for Network Intrusion Detection. ACM Southeast Regional Conference Md Shamsul Alam, Yash Rakeshbhai Patel, Yaswanthsrinivas Gurram, Chen Zhao, Dan Lo
2025	J	`jnl`	A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images. J. Imaging Inform. Medicine Ni Yao, Hang Hu, Kaicong Chen, Huan Huang, Chen Zhao, Yuan Guo, Boya Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Weihua Zhou, Li Tian
2025	J	`jnl`	An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using Multiple Datasets. CoRR Shuo Sun, Meiling Zhou, Chen Zhao, Joyce H. Keyak, Nancy E. Lane, Jeffrey D. Deng, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Kui Zhang, Weihua Zhou
2025	J	`jnl`	Anatomy Guided Coronary Artery Segmentation from CCTA Using Spatial Frequency Joint Modeling. CoRR Huan Huang, Michele Esposito, Chen Zhao
2025	J	`jnl`	ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images. CoRR Chen Zhao, Anjum Shaik, Joyce H. Keyak, Nancy E. Lane, Jeffrey D. Deng, Kuan-Jui Su, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou
2025	B	`conf`	Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment. ICTAI Zakaria O. Elghazzali, Chen Zhao, Kewei Chen, Lingtao Chen, Bobin Deng, Kazi Fahim Ahmad Nasif, Yixin Xie
2025	J	`jnl`	PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT. CoRR Rochak Dhakal, Chen Zhao, Zixin Shi, Joyce H. Keyak, Tadashi S. Kaneko, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Weihua Zhou
2025	—	`conf`	Staged Multi-Omics Data Classification for Breast Cancer Diagnosis. ACM Southeast Regional Conference Shrikar Kolla, Dan Lo, Chen Zhao
2025	J	`jnl`	UG-FedDA: Uncertainty-Guided Federated Domain Adaptation for Multi-Center Alzheimer's Disease Detection. CoRR Fubao Zhu, Zhanyuan Jia, Zhiguo Wang, Huan Huang, Danyang Sun, Chuang Han, Yanting Li, Jiaofen Nan, Chen Zhao, Weihua Zhou
2024	J	`jnl`	A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture. CoRR Anjum Shaik, Kristoffer Larsen, Nancy E. Lane, Chen Zhao, Kuan-Jui Su, Joyce H. Keyak, Qing Tian, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou
2024	J	`jnl`	CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. Comput. Biol. Medicine Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou
2024	J	`jnl`	Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data. Comput. Biol. Medicine Chen Zhao, Kuan-Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Wu Li, Zhe Luo, Qing Tian, Chuan Qiu, Lan Juan Zhao, Anqi Liu, Lindong Jiang, Xiao Zhang, Hui Shen, Weihua Zhou, Hong-Wen Deng
2024	J	`jnl`	Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA. CoRR Shaojie Tang, Penpen Miao, Xingyu Gao, Yu Zhong, Dantong Zhu, Haixing Wen, Zhihui Xu, Qiuyue Wei, Hongping Yao, Xin Huang, Rui Gao, Chen Zhao, Weihua Zhou
2024	J	`jnl`	SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data. CoRR Liang Tao, Yixin Xie, Jeffrey D. Deng, Hui Shen, Hong-Wen Deng, Weihua Zhou, Chen Zhao
2023	J	`jnl`	A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images. CoRR Ni Yao, Hang Hu, Kaicong Chen, Chen Zhao, Yuan Guo, Boya Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Weihua Zhou, Li Tian
2023	J	`jnl`	A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Comput. Biol. Medicine Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou
2023	J	`jnl`	A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification. CoRR Kristoffer Larsen, Chen Zhao, Joyce H. Keyak, Qiuying Sha, Diana Paez, Xinwei Zhang, Jiangang Zou, Amalia Peix, Weihua Zhou
2023	J	`jnl`	A new method using deep learning to predict the response to cardiac resynchronization therapy. CoRR Kristoffer Larsen, Zhuo He, Chen Zhao, Xinwei Zhang, Qiuying Sha, Cláudio Tinoco Mesquita, Diana Paez, Ernest V. Garciaf, Jiangang Zou, Amalia Peix, Weihua Zhou
2023	J	`jnl`	A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection. CoRR Ni Yao, Yanhui Tian, Daniel Gama das Neves, Chen Zhao, Cláudio Tinoco Mesquita, Wolney de Andrade Martins, Alair Augusto Sarmet Moreira Damas dos Santos, Yanting Li, Chuang Han, Fubao Zhu, Neng Dai, Weihua Zhou
2023	J	`jnl`	AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms. CoRR Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou
2023	J	`jnl`	AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms. Pattern Recognit. Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou
2023	J	`jnl`	CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. CoRR Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou
2023	J	`jnl`	EAGMN: Coronary artery semantic labeling using edge attention graph matching network. Comput. Biol. Medicine Chen Zhao, Zhihui Xu, Guang-Uei Hung, Weihua Zhou
2023	J	`jnl`	Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling. CoRR Chen Zhao, Michele Esposito, Zhihui Xu, Weihua Zhou
2023	J	`jnl`	Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. CoRR Chen Zhao, Kuan-Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Wu Li, Zhe Luo, Tian Qin, Chuan Qiu, Lan Juan Zhao, Anqi Liu, Lindong Jiang, Xiao Zhang, Hui Shen, Weihua Zhou, Hong-Wen Deng
2023	J	`jnl`	ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation. Complex Intell. Syst. Chen Zhao, 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, Hong-Wen Deng, Weihua Zhou
2022	J	`jnl`	A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images. Medical Biol. Eng. Comput. Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou
2022	J	`jnl`	A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. CoRR Fubao Zhu, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Zhixin Jiang, Weihua Zhou
2022	J	`jnl`	A novel method for ECG signal classification via one-dimensional convolutional neural network. Multim. Syst. Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Qinghui Chen, Shaojie Tang, Jinshan Tang, Weihua Zhou
2022	J	`jnl`	Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms. CoRR Yinghui Meng, Zhenglong Du, Chen Zhao, Minghao Dong, Drew Pienta, Zhihui Xu, Weihua Zhou
2022	J	`jnl`	Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads. CoRR Xuewei Cao, Joyce H. Keyak, Sigurdur Sigurdsson, Chen Zhao, Weihua Zhou, Anqi Liu, Thomas Lang, Hong-Wen Deng, Vilmundur Gudnason, Qiuying Sha
2022	J	`jnl`	Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength. CoRR Chen Zhao, Joyce H. Keyak, Xuewei Cao, Qiuying Sha, Li Wu, Zhe Luo, Lanjuan Zhao, Qing Tian, Chuan Qiu, Ray Su, Hui Shen, Hong-Wen Deng, Weihua Zhou
2021	J	`jnl`	A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images. CoRR Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou
2021	J	`jnl`	A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms. CoRR Chen Zhao, Haipeng Tang, Daniel McGonigle, Zhuo He, Chaoyang Zhang, Yu-Ping Wang, Hong-Wen Deng, Robert Bober, Weihua Zhou
2021	J	`jnl`	Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms. Comput. Biol. Medicine Chen Zhao, Aviral Vij, Saurabh Malhotra, Jinshan Tang, Haipeng Tang, Drew Pienta, Zhihui Xu, Weihua Zhou
2021	J	`jnl`	Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images. Pattern Recognit. Chen Zhao, Yan Xu, Zhuo He, Jinshan Tang, Yijun Zhang, Jungang Han, Yuxin Shi, Weihua Zhou
2020	J	`jnl`	A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images. CoRR Chen Zhao, 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, Hong-Wen Deng, Weihua Zhou