Published

* indicates the corresponding author.

2025

  • Zhao C, Esposito M, Xu Z, Zhou W. HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling. Medical Image Analysis, 2025; 99:103374. [PMID]
  • Larsen K, He Z, Zhao C, Zhang X, Sha Q, Mesquita CT, Garcia EV, Paez D, Zou J*, Peix A*, Zhou W*. A new method using deep learning to predict the response to cardiac resynchronization therapy. Journal of Imaging Informatics in Medicine, 2025. [PMID] [DOI]
  • Huang H, Qiu L, Yang S, Li L, Nan J, Li Y, Han C, Zhu F*, Zhao C*, Zhou W. Vision Transformer based Multimodal Feature Fusion Network for Lymphoma Segmentation on PET/CT Images. Medical Physics, 2025. [DOI]
  • Kolla S, Lo D, Zhao C*. Staged Multi-Omics Data Classification for Breast Cancer Diagnosis. Proceedings of the 2025 ACM Southeast Conference (ACMSE), 2025. [DOI]
  • Alam S, Patel Y, Gurram Y, Zhao C*, Lo D. A Hybrid Approach of Data Mining and Deep Learning for Network Intrusion Detection. Proceedings of the 2025 ACM Southeast Conference (ACMSE), 2025. [DOI]
  • Zhao C, Xu Z, Baral P, Esposito M, Zhou W*. Multi-graph Graph Matching for Coronary Artery Semantic Labeling in Invasive Coronary Angiograms. Pattern Recognition, 2025. [DOI]
  • Wei D, Zhao Y, Hongbo G, Zhang H, Zhao C, Li S, He X. PGDPNN: Prior-information generation and distribution prediction Neural Network for Fluorescence Molecular Tomography Reconstruction. Optics Express, 2025. [DOI]
  • Zhang F, Zhang J, Li X, Jiang J, Zhao C*, Mu N*. PMA-Net: Parallel Mixed Attention Network for Predicting Intracranial Aneurysm Rupture Risk. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2025.
  • Elghazzali Z, Xie Y, Zhao C, Deng B, Chen L, Nasif K. Multimodal Deep Learning for Alzheimer’s Disease Classification: A Practical Fusion Framework for Clinical Deployment. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2025.
  • Kang Y, Zhao C*. Staged Multi-view Data Classification using Uncertainty Quantification. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2025.
  • Zhu F, Zhang Y, Liang G, Nan J, Li Y, Han C, Sun D, Wang Z, Zhao C, Zhou W, He J, Xu Y, Cheang I, Zhu X, Zhou Y, Zhou W. Diagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network. Journal of Imaging Informatics in Medicine, 2025.
  • Mu N, Yang H, Zhao C*. An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks. Computer Methods and Programs in Biomedicine, 2025. [DOI]
  • Toyli A, Shaik A, Zhao C, Chen QH, Sha Q, Zhou W. The heart-brain axis: unraveling the interconnections between cardiovascular and Alzheimer’s diseases. Frontiers in Cardiovascular Medicine, 2025.
  • Toyli A, Hung GU, Zhao C, Sha Q, Chiu PY, Zhou W. Comparison of cerebral technetium-99m-ethyl cysteinate dimer perfusion in patients with dementia with Lewy bodies and Parkinson’s disease dementia. Nuclear Medicine Communications, 2025; 46(3):218–222.
  • Nahid E, Zhao C, Mahyar A, Zheng D, Xu H. Privacy-Preserving Multi-Source Data-Driven Optimization for Intelligent EV Charging. IEEE International Conference on Systems, Man, and Cybernetics, 2025.

2024

  • Liu X, Xiao P, Esposito M, Raavi M, Zhao C*. AGFA-Net: Attention-Guided and Feature-Aggregated Network for Coronary Artery Segmentation using Computed Tomography Angiography. IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI), Herndon, VA, USA, 2024, pp. 327–334. [DOI]
  • Yao N, Hu H, Chen K, Huang H, Zhao C, Guo Y, Li B, Nan J, Li Y, Han C, Zhu F. A robust deep learning method with uncertainty estimation for the pathological classification of renal cell carcinoma based on CT images. Journal of Imaging Informatics in Medicine, 2024. [DOI]
  • Yuan K, Wang L, Wei Q*, Cheng X, Zhao C, Tang S, Deng HW, Zhou W. A deep learning approach based on two-channel 3DCNN networks to automatically predict the risk of femoral fracture using CT images. Journal of Imaging Science and Technology, 2024. [DOI]
  • Zhao C, Liu A, Zhang X, Cao X, Ding Z, Sha Q, Shen H, Deng HW*, Zhou W*. CLCLSA: Cross-omics linked embedding with contrastive learning and self-attention for integration with incomplete multi-omics data. Computers in Biology and Medicine, 2024. [PMID]
  • Cao X, Keyak JH, Sigurdsson S, Zhao C, Zhou W, Liu A, Lang TF, Deng HW, Gudnason V*, Sha Q*. A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure. Osteoporosis International, 2024. [PMID]
  • Shaik A, Larsen K, Lane NE, Zhao C*, Su KJ, Keyak JH, Tian Q, Sha Q, Shen H, Deng HW, Zhou W. A staged approach using machine learning and uncertainty quantification to predict the risk of hip fracture. Bone Reports, 2024; 22:101805. [DOI] [PMID] [PMCID]
  • Zhao C, Su KJ, Wu C, Cao X, Sha Q, Li W, Luo Z, Qin T, Qiu C, Zhao LJ, Liu A, Jiang L, Zhang X, Shen H, Zhou W*, Deng HW*. Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. Computers in Biology and Medicine, 2024. [PMID]
  • Baral P, Zhao C, Esposito M, Zhou W. A review on machine learning for arterial extraction and quantitative assessment on invasive coronary angiograms. Current Cardiovascular Imaging Reports, 17(10), 93–105, 2024.
  • Larsen K, He Z, Zhao C, Zhang X, Sha Q, Mesquita CT, Paez D, Garcia EV, Zou J, Peix A, Zhou W. A new method using deep learning to predict the response to cardiac resynchronization therapy. Journal of Imaging Informatics in Medicine, 2024.
  • Toyli A, Hung GU, Zhao C, Sha Q, Chiu PY, Zhou W. Comparison of Cerebral ECD Perfusion in Patients with Dementia with Lewy Bodies and Parkinson’s Disease Dementia. Nuclear Medicine Communications, 2024. [PMID]
  • Yao N, Tian Y, Neves DG, Zhao C, Mesquita CT, Martins WA, Li Y, Han C, Zhu F, Dai N, Zhou W. Incremental Value of Radiomics Features of Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection. Kardiologiia, 2024; 64(9):96–104. [PMID]

2023 and before

  • Zhao C, Keyak JH, Cao X, Sha Q, Tian Q, Qiu C, Su R, Wu L, Luo Z, Zhao L, Shen H, Deng HW*, Zhou W*. Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load. Frontiers in Endocrinology (Bone Research), 2023. [PMID] [PMCID]
  • Meng Y, Du Z, Zhao C, Dong M, Pieta D, Tang J*, Zhou W*. Automated extraction of coronary arteries using deep learning in invasive coronary angiograms. Technology and Health Care, 2023. [PMID]
  • Zhao C, Shi S, He Z, Malhotra S, Wang C, Zhao Z, Li X, Wen H, Tang S, Zhou Y*, Zhou W*. Spatial temporal V-Net for automatic segmentation and quantification of right ventricle on gated myocardial perfusion SPECT images. Medical Physics, 2023. [PMID]
  • Zhao C, Xu Z, Hung GU, Zhou W*. EAGMN: Coronary artery semantic labeling using edge attention graph matching network. Computers in Biology and Medicine, 2023. [PMID]
  • Lyu Z, King K, Rezaeitaleshmahalleh M, Pienta D, Mu N, Zhao C, Zhou W, Jiang J*. Deep learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms. Biomedical Physics & Engineering Express, 2023. [PMID]
  • Yao N, Li L, Gao Z, Zhao C, Li Y, Han C, Nan J, Zhu Z, Xiao Y, Zhu F, Zhao M*, Zhou W. Deep learning-based diagnosis of disease activity in patients with Graves’ orbitopathy using orbital SPECT/CT. European Journal of Nuclear Medicine and Molecular Imaging, 2023. [PMID] [PMCID]
  • Zhao C, Xu Z, Jiang J, Esposito M, Pienta D, Hung GU, Zhou W*. AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms. Pattern Recognition, 2023. [PMID] [PMCID]
  • Zhu F, Li L, Zhao J, Zhao C, Tang S, Nan J, Li Y, Zhao Z, Shi J, Chen Z, Han C, Jiang Z*, Zhou W*. A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Computers in Biology and Medicine, 2023. [PMID]
  • Zhu F, Wang G, Zhao C, Malhotra S, Zhao M, He Z, Shi J, Jiang Z*, Zhou W*. Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images. Journal of Nuclear Cardiology, 2023. [PMID]
  • Xu Z, Malhotra S, Zhao C, Li C, Ye Z, Hua R, Wang C, Zhou W. 3D fusion between SPECT myocardial perfusion imaging and invasive coronary angiography to guide revascularization in patients with stable coronary artery disease. Circulation, 2023.
  • Meng Y, Dong M, Dai X, Tang H, Zhao C, Jiang J, Xu S, Zhou Y, Zhu F, Xu Z*, Zhou W*. Automatic identification of end-diastolic and end-systolic cardiac frames from invasive coronary angiography videos. Technology and Health Care, 2022. [PMID]
  • He Z, Zhang X, Zhao C, Ling X, Malhotra S, Qian Z, Wang Y, Hou X, Zou J*, Zhou W*. A method using deep learning to discover new predictors from left-ventricular mechanical dyssynchrony for CRT response. Journal of Nuclear Cardiology, 2022. [PMID]
  • Zhu F, Gao Z, Zhao C, Zhu H, Tian Y, Dong Y, Jiang J, Dai N*, Zhou W*. A deep learning-based method to extract lumen and media-adventitia in intravascular ultrasound images. Ultrasonic Imaging, 2022. [PMID]
  • Zhao C, Tang H, McGonigle D, He Z, Zhang C, Wang YP, Deng HW, Bober R*, Zhou W*. Development of an approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms. Journal of Medical Imaging, 2022. [PMID] [PMCID]
  • Zhao C, Bober R, Tang H, Tang J, Dong M, Zhang C, He Z, Esposito ML, Xu Z*, Zhou W*. Semantic segmentation to extract coronary arteries in fluoroscopy angiograms. Journal of Advances in Applied & Computational Mathematics, 2022. [DOI]
  • Deng Y, Wang L, Zhao C, Tang S*, Cheng X, Deng HW, Zhou W. A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images. Medical and Biological Engineering and Computing, 2022. [PMID]
  • Zhao C, Vij A, Malhotra S, Tang J, Tang H, Pienta D, Xu Z*, Zhou W*. Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms. Computers in Biology and Medicine, 2021. [PMID]
  • Zhu F*, Gao Z, Zhao C, Zhu Z, Liu Y, Tang S, Jiang C, Li X, Zhao M*, Zhou W. Semantic segmentation using deep learning to extract total extraocular muscles and optic nerve from orbital CT images. Optik, 2021. [DOI]
  • Zhao C, Keyak JH, Tang J, Kaneko TS, Khosla S, Amin S, Atkinson EJ, Zhao LJ, Serou MJ, Zhang C, Shen H, Deng HW*, Zhou W*. ST-V-Net: Incorporating shape priors into convolutional neural networks for automatic segmentation of proximal femur from quantitative CT images. Complex & Intelligent Systems, 2021. [PMID] [PMCID] [DOI]
  • Zhao C, Xu Y, He Z, Tang J, Zhang Y, Han J, Shi Y*, Zhou W*. Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images. Pattern Recognition, 2021. [PMID] [PMCID]
  • Pan X, Zhao Y, Chen H, Wei D, Zhao C*, Wei Z. Fully automated bone age assessment on large-scale hand X-ray dataset. International Journal of Biomedical Imaging, 2020. [PMID] [PMCID] [DOI]
  • Fan L, Han J, Jia Y, Zhao C, Yang B. Segmentation of femurs in X-ray images with generative adversarial networks. DEStech Transactions on Engineering and Technology Research, 2019.
  • Zhao C, Han J, Jia Y, Fan L, Gou F. Versatile framework for medical image processing and analysis with application to automatic bone age assessment. Journal of Electrical and Computer Engineering, 2018.
  • Zhao C, Han J, Xu X. CNN and RNN based neural networks for action recognition. Journal of Physics: Conference Series, 2018.
  • Han J, Jia Y, Zhao C, Gou F. Automatic bone age assessment combined with transfer learning and support vector regression. International Conference on Information Technology in Medicine and Education (ITME), 2018.
  • Jia Y, Fan L, Zhao C, Han J. Chinese character CAPTCHA recognition using convolutional neural networks. Journal of Physics: Conference Series, 2018.
  • Zhao C, Han J, Jia Y. 3D inception convolutional neural networks for automatic lung nodule detection. International Conference on Computational Science and Computational Intelligence (CSCI), 2017.

Conference presentations & posters

  • Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou. CLCLSA: Cross-omics Linked Embedding with Contrastive Learning and Self Attention for Multi-Omics Integration with Incomplete Multi-Omics Data. American Society of Human Genetics (ASHG) Annual Meeting, 2023.
  • Chen Zhao, Marco Esposito, Jiang J, Zhiwei Xu, Weihua Zhou. Automated Semantic Segmentation and Stenosis Detection of Coronary Arteries on Invasive Coronary Angiograms Using Hypergraph Matching and Information Fusion. American Heart Association (AHA) Scientific Sessions, 2023.
  • Zhiwei Xu, Sameer Malhotra, Chen Zhao, Chen Wang, Weihua Zhou. 3D Fusion between SPECT Myocardial Perfusion Imaging and Invasive Coronary Angiography to Guide Revascularization in Patients with Stable Coronary Artery Disease. American Heart Association (AHA) Scientific Sessions, 2023.
  • Guangyao Wang, Feng Zhu, Chen Zhao, Sameer Malhotra, Zhaohui Jiang, Weihua Zhou. Automatic Reorientation by Deep Learning to Generate Short-Axis SPECT Myocardial Perfusion Images. American Society of Nuclear Cardiology (ASNC) Annual Meeting, 2022.
  • Xuewei Cao, Joyce H. Keyak, Sigurdur Sigurdsson, Chen Zhao, Weihua Zhou, Thomas F. Lang, Hong-Wen Deng, Vilmundur Guðnason, Qiuying Sha. Hip Fracture Prediction Using the First Principal Component Derived from FEA-Computed Fracture Loads. The American Society for Bone and Mineral Research (ASBMR) Annual Meeting, 2022.
  • Daniel Pienta, Chen Zhao, Weihua Zhou. Methods to Improve Deep Learning-Based Automatic Coronary Extraction. Michigan Technological University Undergraduate Research Symposium, March 25, 2022.
  • Zhaoxiang Lyu, Daniel Pienta, Tyler Johnson, Chen Zhao, Jianming Jiang, Weihua Zhou. Automated Image Segmentation for Computational Analysis of Patients with Abdominal Aortic Aneurysms. Michigan Technological University Graduate Research Colloquium, March 29, 2022.