Research output per year
Research output per year
Personal profile
Personal profile
Professor Chen Duanduan
Subject: Biomedical Engineering
Direction: Biomechanics, Intelligent Computing
E-mail :duanduan@bit.edu.cn
Office Address: 815-10, Building 5, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Chen Duanduan, professor and doctoral advisor, Beijing Institute of Technology. Has been engaged in research on dynamic digital reconstruction, intelligent virtual simulation, and diagnostic/therapeutic auxiliary decision-making for cardiovascular and cerebrovascular diseases and minimally invasive interventional therapy. Serves as Deputy Director of the Vascular Medicine Special Committee of the Chinese Research Hospital Association, Council Member of the Beijing Society of Biomedical Engineering, Executive Member of the Brain Science and Artificial Intelligence Special Committee of the Beijing Neurological Society, etc.; acts as Associate Editor of the SCI journal J Eng Med, Review Editor of Front Bioeng Biotech, etc. Has presided over 2 key R&D program projects of the Ministry of Science and Technology, 4 National Natural Science Foundation projects, and 2 major and key projects in Beijing; awarded national high-level excellent talent, Beijing Science and Technology New Star, First Prize of Invention and Innovation by the China Invention Association, etc. Has published more than 50 academic papers in journals such as MIA, Theranositics, Stroke, and JTCVS; authorized 9 national invention patents (including 2 PCT patents), 9 utility model patents, and 8 software copyrights. The developed intelligent diagnostic and therapeutic technology for the aorta has been applied in authoritative medical institutions, directly serving clinical practice.
Research Interests
Blood Flow function image Calculation, Organ perfusion calculation, Vascular Tissue Engineering Research
Basic research: Vascular diseases are the leading cause of death in humans, and their pathogenesis, development prediction, and treatment options require a deep understanding of blood flow, vascular walls, and organ perfusion. By combining medical imaging, intelligent computing and biomechanics, I studied the blood flow characteristics of a variety of vascular diseases, and proposed the blood flow functional imaging calculation method and clinical indicators. Material properties and tissue engineering analysis of vascular wall tissue were performed to provide criteria for instrument development and safety of interventional surgery. The computational model of organ perfusion image was developed to provide a quantitative analysis method for a variety of cerebrovascular diseases. Medical application: For a variety of vascular diseases and interventional therapy methods, combined with artificial intelligence and imaging omics methods, to achieve automatic segmentation and three-dimensional reconstruction of focal vascular images, and establish an intelligent auxiliary diagnosis system; For stent and other interventional surgery, combined with computer vision and biomechanics technology, virtual interventional surgery algorithm was developed to achieve rapid, scientific and individualized preoperative planning; Based on multi-modal medical image registration and fusion technology, a surgical navigation and enhanced display system was established to improve the operation accuracy and safety of interventional surgery. The extracorporeal bionic circulation system was developed, combined with navigation tracking module and multi-physical sensing module, to establish surgical simulation and intelligent training devices, to provide extracorporeal bionic training platform for interventional surgery, and to provide evaluation and testing environment for new interventional equipment.
Education
2005.10-2009.09 PhD, Department of Engineering Science, University of Oxford
2001.09 -- 2005.07 Fudan University Mechanics and Engineering Science Bachelor
2001.09 -- 2005.07 Fudan University Mechanics and Engineering Science Bachelor
Professional Experience
2005.10-2009.09 PhD, Department of Engineering Science, University of Oxford
2001.09 -- 2005.07 Fudan University Mechanics and Engineering Science Bachelor
2022.03 -- Present Deputy Dean, School of Medical Technology, Beijing Institute of Technology
2016.04-present Undergraduate Professional Responsibility Professor, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology 2015.07-present Professor and doctoral Supervisor, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology
2011.12-2015.06 Associate Professor, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology
2011.06-2011.12 Lecturer, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology
2009.12-2011.04 Postdoctoral Fellow, Department of Engineering Science, University of Oxford
2001.09 -- 2005.07 Fudan University Mechanics and Engineering Science Bachelor
2022.03 -- Present Deputy Dean, School of Medical Technology, Beijing Institute of Technology
2016.04-present Undergraduate Professional Responsibility Professor, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology 2015.07-present Professor and doctoral Supervisor, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology
2011.12-2015.06 Associate Professor, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology
2011.06-2011.12 Lecturer, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology
2009.12-2011.04 Postdoctoral Fellow, Department of Engineering Science, University of Oxford
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- 6 Similar Profiles
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Automatic aortic root morphology assessment algorithm for Transcatheter Aortic Valve Implantation planning
Yan, X. P., Zhang, X. Y., Jin, M., Zhang, S. T. & Chen, D. D., 6 Feb 2025, ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering. Association for Computing Machinery, Inc, p. 53-59 7 p. (ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep learning-based automatic ASPECTS calculation can improve diagnosis efficiency in patients with acute ischemic stroke: a multicenter study
Wei, J., Shang, K., Wei, X., Zhu, Y., Yuan, Y., Wang, M., Ding, C., Dai, L., Sun, Z., Mao, X., Yu, F., Hu, C., Chen, D., Lu, J. & Li, Y., Feb 2025, In: European Radiology. 35, 2, p. 627-639 13 p., 101984.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Fast Virtual Stenting for Thoracic Endovascular Aortic Repair of Aortic Dissection Using Graph Deep Learning
Zhang, X., Zhang, S., Zhang, X., Xiong, J., Han, X., Wu, Z., Zhao, D., Li, Y., Xu, Y. & Chen, D., 2025, In: IEEE Journal of Biomedical and Health Informatics. 29, 6, p. 4374-4387 14 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
In Silico Trials of Prosthetic Valves Replicate Methodologies for Evaluating the Fatigue Life of Artificial Leaflets to Expand Beyond In Vitro Tests and Conventional Clinical Trials
Mao, P., Jin, M., Li, W., Zhang, H., Li, H., Li, S., Yang, Y., Zhu, M., Shi, Y., Zhang, X. & Chen, D., May 2025, In: Biomedicines. 13, 5, 1135.Research output: Contribution to journal › Article › peer-review
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Optimal circulatory arrest temperature for total aortic arch replacement: Outcomes of neurological complications
Xue, Y., Lou, Y., Wang, S., Zhang, Y., Wang, X., Zhang, X., Shi, Y., Li, Y., Yang, H., Li, H., Liu, G., Zhu, M., Huang, J., Zhao, Q., Liu, J., Wu, H., Chen, D., Jiang, W., Zhang, H. & Li, H., 2025, (Accepted/In press) In: Journal of Thoracic and Cardiovascular Surgery.Research output: Contribution to journal › Article › peer-review