Zi LI

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Algorithm Engineer, Medical AI Lab
Alibaba DAMO Academy, Hangzhou

Email: alisonbrielee at gmail dot com

Biography

I am a researcher at Alibaba DAMO Academy, supervised by Dr. Le Lu. Before that, I received the B.E. and M.S.E degrees in software engineering at Dalian University of Technology (DLUT), China, in 2019 and 2022. My research interests include medical image registration, image segmentation, and machine learning.

News

• [09/2024] The repository for Awesome Medical Image Registration has been created.

• [07/2024] One abstract about Nasopharyngeal Carcinoma Tumor Segmentation is accepted by RSNA 2024.

• [03/2024] One paper about Deformable Multi-Modality Medical Image Registration is accepted by CVPR 2024.

• [10/2023] Our method ranks 1^st place in the MICCAI 2023 Learn2Reg Challenge: ThoraxCBCT.

Selected Publications

• Deep Learning‑based Multi‑modality Model for Accurate Gross Tumor Volume Segmentation in Nasopharyngeal Carcinoma Radiotherapy
  Zi Li, Ying Chen, Jia Ge, Le Lu, Dakai Jin, Xianghua Ye
  Radiological Society of North America (RSNA) , 2024.
  

• Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
  Tony C. W. Mok*, Zi Li*, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang (* Equal contribution)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), [Highlight acc. rate of 2.8%] , 2024.
  [arXiv]

• SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation
  Lin Tian*, Zi Li*, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Daikai Jin (* Equal contribution)
  Arxiv, 2023.
  [arXiv] [code]

• SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
  Zi Li*, Lin Tian*, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin (* Equal contribution)
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
  [arXiv] [code]

• Automated learning for deformable medical image registration by jointly optimizing network architectures and objective functions
  Xin Fan*, Zi Li*, Ziyang Li, Xiaolin Wang, Risheng Liu, Zhongxuan Luo, Hao Huang (* Equal contribution)
  IEEE Transactions on Image Processing (TIP), 2023.
  [arXiv] [code]

• Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond
  Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, Zhongxuan Luo
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
  [arXiv] [code]

Selected Awards

• Learn2Reg: 2023 MICCAI Registration Challenge 1st place winner, 2023

• MICCAI Student Participation Award, 2021

• Excellent Master Dissertation Award of Liaoning Province, 2022 [Slide-CN] [Slide-EN]

• National Scholarship (Top 0.2%), 2021

• DLUT Academic Star (Top 10/20000+), 2021

Activities as Reviewer