Zhiming Cui

Zhiming Cui

Assistant Professor
School of Biomedical Engineering
ShanghaiTech University

Email: cuizhm@shanghaitech.edu.cn
Address: Office 308, BME building, ShanghaiTech University, Pudong, Shanghai
[Github] [Google Scholar] Google Scholar

Dr. Zhiming Cui is a tenure-track Assistant Professor in the School of Biomedical Engineering at ShanghaiTech University. He received his Ph.D. degree in the Computer Vision and Graphics Group at the University of Hong Kong (HKU), supervised by Prof. Wenping Wang. Before that, he obtained his B.Eng and M.Eng degrees from Northeastern University in 2014 and 2017, respectively. During his Ph.D. study, he also visited United Imaging Intelligence (UII) and ShanghaiTech University, advised by Prof. Dinggang Shen. Dr. Cui's work has been published in prestigious journals and conferences including Nature Communications, TMI, MedIA, TNNLS, MICCAI, CVPR, and ECCV, etc.

IMPACT Lab was founded and directed by Dr. Cui since 2022 when he joined ShanghaiTech BME School. At the IMPACT Lab, we dedicate to fusing artificial intelligence and computer graphics into medical imaging, especially in the intersection of medical imaging computing, image reconstruction (e.g., CBCT, DSA, and PET/CT), and digital dentistry.

More details about our research can be referred to on our Research page or visit our Github page.

Join Us

We are looking for interns and 2025 graduate students who are self-motivated and passionate about our research. If interested, please email me directly with your CV.

For more details, see our join-us page.

News

  • [11/2024] Congrats on Jia Wei (undergradute) for winning the Shanghai Scholarship!
  • [10/2024] One paper accepted by TMI. Congrats to Zhentao!
  • [09/2024] Welcome Ruochen Pi, Tao Luo, Zihuan Li, Zhihao Zhang, and Luqi Yang to join our lab!
  • [07/2024] Team from IMPACT Lab won the 1st National Prize in The 9th National Biomedical Engineering Innovation Design Competition for College Students. Congrats to Wei Jia and Jinze (both undergraduates)! [Report]
  • [06/2024] Four papers are accepted by MICCAI 2024. Two of them are from our lab, congrats to Han Wu and Chenfan!
  • [06/2024] Congrats to Han Wu and Zhentao Liu on passing their PQE and officially becoming Ph.D. candidates!
  • [04/2024] One paper is accepted by TMI.
  • [04/2024] I will continue to serve as Co-Chair for MLMI 2024.
  • [04/2024] I will serve as Associate Editor for Computerized Medical Imaging and Graphics (Q1, IF=5.7).
  • [02/2024] I will serve as Area Chair for MICCAI 2024.
  • [12/2023] Our survey paper on CLIP in medical imaging is now available online.
  • [10/2023] Congrats to Yulong for winning the National Scholarship (Master)!
  • [10/2023] Two papers are accepted by TMI.
  • [09/2023] Welcome Yulong Dou, Chenfan Xu, Xingyue Wang, and Zhenyu Tao to join our lab!
  • [08/2023] Yulong's paper is accepted by BMVC 2023. Congrats!
  • [06/2023] Three papers are finally accepted by MICCAI 2023.
  • [06/2023] Han Wu's paper is accepted by MICCAI 2023. Congrats!
  • [06/2023] Our website is now online! Thanks to Yu Fang and Han Wu :)
  • [11/2022] One paper is accepted by TMI.
  • [09/2022] Welcome Han Wu, Zhentao Liu, and Haoshen Wang to join our lab as the first members!
  • [09/2022] IMPACT Lab @ ShanghaiTech has been officially established!
  • [08/2022] One paper is accepted by MedIA.
  • [06/2022] Four papers are accepted by MICCAI 2022.
  • [02/2022] One paper is accepted by Nature Communications.

Recent Services

  • Associate Editor, Computerized Medical Imaging and Graphics, 2024
  • Area Chair, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
  • Co-Chair, International Conference on Machine Learning in Medical Imaging (MLMI), 2022, 2023, 2024
  • Reviewer, IEEE Transactions on Medical Imaging (TMI), 2020, 2021, 2022, 2023, 2024
  • Reviewer, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021, 2022, 2023, 2024
  • Reviewer, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019, 2020, 2021, 2022, 2023

Teaching

  • Data Structure and Algorithm Design: 2024 Spring
  • Algorithms Design And Analysis (Python): 2022 Fall, 2023 Fall, 2024 Fall

Invited Talks

  • AI in Full-stack Digital Dentistry @ MICS Webinar on Multi-modal Medical Image Computing and Analysis, 2024. [video]
  • 3D vessel reconstruction based on implicit neural representation @ UMI 2024, Jinhua, China.
  • Learning-based tooth segmentation and analysis in digital dentistry @ MICS 2022, Nanjing, China. [video]
  • Shape-aware tooth segmentation in digital dentistry @ VLASE Webinar, 2022. [video]

Since 2023-07