👨‍🎓 Short Bio

I am now a second-year master student in the school of Biomedical Engineering at ShanghaiTech University under the supervision of Prof. Zhiming Cui and Prof. Dinggang Shen. Prior to this, I spent four years at WUT (Wuhan University of Technology), where I led a team and won several national and regional competitions. I received my B.Eng. degree with the honor of outstanding graduate in 2022. Here is my latest [CV].

My research interests mainly focus on advanced medical imaging computing with the aim to develop solutions for computer-aided diagnosis with limited annotations related to digital dentistry. Particularly, I’m currently working on the following specific topics:

  1. Fully-/semi-/self-Supervised learning for 2D/3D cephalometric landmark detection across ages
  2. Self-/semi-/weak-supervised learning for general disease detection in dental panoramic xrays
  3. Universal segmentation model in medical images

I also maintain an open and receptive attitude towards a wide range of topics related to multi-modal foundation model in medical images. Should you have any ideas or topics you wish to discuss, please feel free to reach out to me via email at any time.

🚩 News

  • [12/2023] Our survey paper on CLIP in medical imaging is now available online!
  • [06/2023] One paper is accepted to MICCAI 2023!
  • [09/2022] Start a new journey in IDEA Lab at ShanghaiTech!
  • [06/2022] Graduate from WUT with “Outstanding Graduates” honor!
  • [06/2022] Graduation thesis is selected as the “Outstanding Graduation Thesis”!
  • [07/2021] Receive the offer to BME school during 2021 ShanghaiTech BME School Summer Camp!

🏫 Education

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ShanghaiTech University, Shanghai, China
Sept. 2022 - Present
M.S. in Computer Science and Biomedical Engineering
Supervisors: Prof. Zhiming Cui, Prof. Dinggang Shen (IEEE/MICCAI Fellow)

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Wuhan University of Technology, Wuhan, China
Sept. 2018 - June 2022
B.E. in Information Engineering

📝 Publications

* indicates equal contribution and + indicates corresponding author.

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CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao*, Yuxiao Liu*, Han Wu*, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui+, Qian Wang+, Dinggang Shen+
arXiv preprint, 2023.
paper | code

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Multi-View Vertebra Localization and Identification from CT Images
Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui+, Dingggang Shen+
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
paper | supp | slides | poster | code

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Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction
Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Zhiming Cui+, Dingggang Shen+
arXiv preprint, 2023.
paper

Challenge Report

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High-Accuracy Crowd Counting Method Based on Mixed Labeled Dataset
Han Wu
National University Student Intelligent Car Race Online Tournament: Crowd Counting, 2020.
paper | code

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A YOLOV3 System for Garbage Detection Based on MobileNetV3_Lite as Backbone
Han Wu
National Undergraduate Engineering Practice and Innovation Competition: Garbage Detection, 2021.
paper | code

🎖 Awards

  • Outstanding Student of ShanghaiTech (Top 10%), 2023.
  • Outstanding Graduates of WUT, 2022.
  • Outstanding Graduation Thesis of WUT (top 4%), 2022.
  • 2nd National Prize of National Undergraduate Engineering Practice and Innovation Competition, 2021.
  • 3rd National Prize of The 10th “China Software Cup” College Student Software Design Competition, 2021.
  • 1st Prize of Undergraduate Engineering Practice and Innovation Competition Hubei Prov., 2021.
  • 3rd Prize of National University Student Intelligent Car Race, Hubei Prov., 2021.
  • 3rd Prize of National Undergraduate Computer Design Competition, Hubei Prov., 2021.
  • Ranked 27/169 in The 10th “China Software Cup” College Student Software Design Competition Online Tournament, 2021.
  • 3rd Prize of The 6th “Internet+” Innovation and Entrepreneurship Competition, Hubei Prov., 2020.
  • Ranked 3/218 in National University Student Intelligent Car Race Online Tournament: Crowd Counting, 2020.
  • Ranked 15/332 in Baidu AIStudio Regular Season of Bugs Detection, 2020.

💻 Services

  • Conference Reviewer
    • International Conference on Machine Learning in Medical Imaging (MLMI), 2023
    • International Conference on Machine Learning in Medical Imaging (MLMI), 2022
    • International Conference on Pattern Recognition (ICPR), 2022
  • Journal Reviewer
    • IEEE Transactions on Biomedical Engineering (TBME)
  • Membership
  • Teaching Assistant
    • BME2113 Algorithms Design And Analysis (Python) @ ShanghaiTech, 2023 Fall
  • Other Services
    • BaiDu PaddlePaddle Developer Expert (PPDE)

🎈 Miscellaneous

  • Music: I’m a big fan of Taylor Swift, Jay Chou, and JJ Lin.
  • Guitar: I love playing guitar whenever I felt stressed. Masaaki Kishibe is my favourite guitarist.
  • Video Games: Oh, I enjoy playing LOL with my friends. I’m aslo a Master player in LOLM.