个人简历：
Dr. Cui Zhiming serves as a Tenure-track Assistant Professor, researcher, doctoral advisor, and Principal Investigator (PI) in the School of Biomedical Engineering. Dr. Cui received his bachelor's and master's degrees from Northeastern University in 2014 and 2017, respectively. He earned his Ph.D. in Computer Science from the University of Hong Kong in 2022 and joined the School of Biomedical Engineering at ShanghaiTech University as an Assistant Professor in the same year.
Dr. Cui Zhiming is committed to research in artificial intelligence and medical image analysis, which primarily includes medical deep learning, digital craniofacial analysis, and research on medical image reconstruction algorithms. He has published multiple high-impact papers in relevant fields. As the first author, he has contributed to a series of papers in top journals and conferences such as Nature Communications, IEEE TMI, MedIA, CVPR, MICCAI, and IPMI. Dr. Cui Zhiming serves as the co-chair for MICCAI-MIML in 2022 and 2023 and is a young editor for the China Journal of Image and Graphics.
研究领域：
Advanced Medical Imaging Computing: Focuses on deep learning with big data in small sample sizes, collaborative optimization and learning of data and knowledge, and multi-modal representation learning.
Digital Dentistry/Craniofacial Analysis: Utilizing artificial intelligence to explore key technologies in computer-aided applications for craniofacial surgeries, orthodontics, and periodontal diseases.
Medical Image Reconstruction Algorithms (Dental CBCT, DSA, PET-CT): Combining artificial intelligence with traditional physical reconstruction models to develop high-quality, efficient medical image reconstruction algorithms.
教学与课程：
Algorithm Design and Analysis (Python)
Data Structure
学术任职：
Co-Chair:
International Conference on Machine Learning in Medical Imaging (MLMI), 2022-2023
Reviewer:
IEEE Transactions on Medical Imaging (TMI)
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
International Conference on Computer Vision (ICCV)
IEEE Transactions on Visualization and Computer Graphics (TVCG)
代表性论文：
Cui, Zhiming, et al. A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images. Nature communications 13.1 (2022): 1-11.
Cui, Zhiming, et al. TSegNet: an efficient and accurate tooth segmentation network on 3D dental model. Medical Image Analysis 69 (2021): 101949.
Cui, Zhiming, et al. Structure-driven unsupervised domain adaptation for cross-modality cardiac segmentation. IEEE Transactions on Medical Imaging 40.12 (2021): 3604-3616.
Cui, Zhiming, et al. VertNet: Accurate Vertebra Localization and Identification Network from CT Images. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, Cham, 2021.
Cui, Zhiming et al. ToothNet: automatic tooth instance segmentation and identification from cone beam CT images. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019.
实验室介绍：
Dr. Cui Zhiming has established a laboratory at the School of Biomedical Engineering at ShanghaiTech University (https://shanghaitech-impact.github.io/), focusing on research in the following three areas:
Advanced Medical Imaging Computing: Focuses on deep learning with big data in small sample sizes, collaborative optimization and learning of data and knowledge, and multi-modal representation learning.
Digital Dentistry/Craniofacial Analysis: Utilizing artificial intelligence to explore key technologies in computer-aided applications for craniofacial surgeries, orthodontics, and periodontal diseases.
Medical Image Reconstruction Algorithms (Dental CBCT, DSA, PET-CT): Combining artificial intelligence with traditional physical reconstruction models to develop high-quality, efficient medical image reconstruction algorithms.
