In Vivo IVUS-Based 3-D Fluid-Structure Interaction Models With Cyclic Bending and Anisotropic Vessel Properties for Human Atherosclerotic Coronary Plaque Mechanical Analysis. - Chun Yang; Richard G. Bach; Jie Zheng; Issam M. El Naqa; Pamela K. Woodard; Zhongzhao Teng; Kristen Billiar; Dalin Tang (IEEE Trans. Biomed. Eng., 2009)

Computer simulation of three-dimensional plaque formation and progression in the carotid artery. - Nenad Filipovic; Zhongzhao Teng; Milos D. Radovic; Igor Saveljic; Dimitrios I. Fotiadis; Oberdan Parodi (Medical Biol. Eng. Comput., 2013)

How Does Juxtaluminal Calcium Affect Critical Mechanical Conditions in Carotid Atherosclerotic Plaque? An Exploratory Study. - Zhongzhao Teng; Jing He; Umar Sadat; John R. Mercer; Xiaoyan Wang 007; Nasim S. Bahaei; Owen M. Thomas; Jonathan Gillard 001 (IEEE Trans. Biomed. Eng., 2014)

Error propagation in the characterization of atheromatic plaque types based on imaging. - Lambros S. Athanasiou; George Rigas 001; Antonis I. Sakellarios; Christos V. Bourantas; Kostas A. Stefanou; Evangelos Fotiou; Themis P. Exarchos; Panagiotis K. Siogkas; Katerina K. Naka; Oberdan Parodi; Federico Vozzi; Zhongzhao Teng; et al. (Comput. Methods Programs Biomed., 2015)

Neural network fusion: a novel CT-MR aortic aneurysm image segmentation method. - Duo Wang; Rui Zhang; Jin Zhu; Zhongzhao Teng; Yuan Huang 009; Filippo Spiga; Michael Hong-Fei Du; Jonathan H. Gillard; Qingsheng Lu; Pietro Liò (Image Processing, 2018)

Automatic segmentation of MR depicted carotid arterial boundary based on local priors and constrained global optimisation. - Jianhua Zhang 002; Zhongzhao Teng; Qiu Guan; Junli He; Wafa Abutaleb; Andrew J. Patterson; Martin J. Graves; Jonathan Gillard 001; Shengyong Chen (IET Image Process., 2019)

Bayesian Inference-Based Estimation of Normal Aortic, Aneurysmal and Atherosclerotic Tissue Mechanical Properties: From Material Testing, Modeling and Histology. - Shuo Wang 011; Aziz Tokgoz; Yuan Huang 009; Yongxue Zhang; Jiaxuan Feng; Priya Sastry; Chang Sun; Nichola Figg; Qingsheng Lu; Michael P. F. Sutcliffe; Zhongzhao Teng; Jonathan H. Gillard (IEEE Trans. Biomed. Eng., 2019)

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. - Shuo Wang 011; Xian Yang 001; Ling Li 010; Philip Nadler; Rossella Arcucci; Yuan Huang 009; Zhongzhao Teng; Yike Guo (IEEE Comput. Intell. Mag., 2020)

Efficient Deep Representation Learning by Adaptive Latent Space Sampling. - Yuanhan Mo; Shuo Wang 011; Chengliang Dai; Rui Zhou; Zhongzhao Teng; Wenjia Bai; Yike Guo (CoRR, 2020)

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. - Michael Roberts; Derek Driggs; Matthew Thorpe; Julian D. Gilbey; Michael Yeung; Stephan Ursprung; Angelica I. Avilés-Rivero; Christian Etmann; Cathal McCague; Lucian Beer; Jonathan R. Weir-McCall; Zhongzhao Teng; et al. (CoRR, 2020)

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (CoRR, 2021)

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2021)

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. - Michael Roberts; Derek Driggs; Matthew Thorpe; Julian D. Gilbey; Michael Yeung; Stephan Ursprung; Angelica I. Avilés-Rivero; Christian Etmann; Cathal McCague; Lucian Beer; Jonathan R. Weir-McCall; Zhongzhao Teng; et al. (Nat. Mach. Intell., 2021)

Complex carotid artery segmentation in multi-contrast MR sequences by improved optimal surface graph cuts based on flow line learning. - Chenglu Zhu; Xiaoyan Wang 007; Shengyong Chen; Zhongzhao Teng; Cong Bai; Xiaojie Huang; Ming Xia; Zhanpeng Shao; Zheng Gu; Peiliang Sun (Medical Biol. Eng. Comput., 2022)

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2022)

Automatic classification and segmentation of atherosclerotic plaques in the intravascular optical coherence tomography (IVOCT). - Hui Tang; Zhenquan Zhang; Yanglong He; Jinhua Shen; Jin Zheng; Wei Gao; Umar Sadat; Mingxin Wang; Yupeng Wang; Xu Ji; Yang Chen; Zhongzhao Teng (Biomed. Signal Process. Control., 2023)

Effect of variability of mechanical properties on the predictive capabilities of vulnerable coronary plaques. - Marco Stefanati; Anna Corti; Valentina D. A. Corino; Martin R. Bennett; Zhongzhao Teng; Gabriele Dubini; José Felix Rodriguez Matas (Comput. Methods Programs Biomed., 2024)

Lightweight Multi-Stage Aggregation Transformer for robust medical image segmentation. - Xiaoyan Wang 007; Yating Zhu; Ying Cui; Xiaojie Huang; Dongyan Guo; Pan Mu; Ming Xia; Cong Bai; Zhongzhao Teng; Shengyong Chen (Medical Image Anal., 2025)