I am a fourth-year undergraduate student from Weixian College and School of Biomedical Engineering, Tsinghua University. My research interest includes AI for Neuroscience, Medical Image Analysis.
I am very fortunate to work as a research assistant at Birth Lab led by Prof. Qiyuan Tian from School of Biomedical Engineering, Tsinghua University. I am currently working as a visiting student in Hong Kong Polytechnic University under the guidance of Prof. Anqi QIU.
I am mentored by PhD student Mingxuan Liu at Birth Lab.
I am currently looking for 26 Fall PhD/Mphil positions, please feel free to contact me via email if interested.
Other related links: CV / Google Scholar / Wechat
🔥 News
2025.10.10: 🎉🎉 I won the comprehensive scholarship for excellence at Tsinghua University. (Rank 8/117, 15000RMB)
2025.09.10: 🎉🎉 Our work won the championship for AutoPET IV Challenge and presented at MICCAI 2025.
2025.05.02: 🎉🎉 Our short paper has been accepted by MIDL 2025.
2025.02.12: 🎉🎉 Our paper has been accepted by OHBM 2025.
📝 Publications
# co-first author | * corresponding author
CONFERENCE PAPERS
-
Comprehensive Evaluation of Unsupervised Image Enhancement for Volumetric Fetal Brain MRI
[Paper] [Code]
Yingqi Hao#, Mingxuan Liu#, Hongjia Yang, Haoxiang Li, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian*
Medical Imaging with Deep Learning (MIDL). 2025. (Poster) -
Unsupervised Anomaly Detection for Fetal Brain MRI using Two-Stage Denoising Autoencoder (ω-DAE)
Yingqi Hao, Mingxuan Liu, Juncheng Zhu, Hongjia Yang, Yi Liao, Haibo Qu, Qiyuan Tian*
[Paper]
OHBM Annual Meeting (OHBM). 2025. (Poster) -
autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT
Junwei Huang, Yingqi Hao, Yitong Luo, Ziyu Wang, Mingxuan Liu, Yifei Chen, Yuanhan Wang, Lei Xiang, Qiyuan Tian
[Paper] [Code]
arXiv preprint. 2025.
JOURNAL PAPERS
-
PANDA: Patch-based unsupervised deep learning for brain anomaly detection via age prediction in fetal MRI
Yingqi Hao#, Mingxuan Liu#, Juncheng Zhu, Hongjia Yang, Haoxiang Li, Yi Liao, Haibo Qu, Qiyuan Tian*
Radiology: Artificial Intelligence. (Under Peer Review) -
Quality-label-free Fetal Brain MRI Quality Control Based on Image Orientation Recognition Uncertainty
Mingxuan Liu#, Yi Liao#, Haoxiang Li, Juncheng Zhu, Hongjia Yang, Yingqi Hao, Haibo Qu*, Qiyuan Tian
Medical Image Analysis (MIA). 2025. (Under Revision)
🎖 Awards and Fundings
- 2025 Comprehensive Scholarship for Excellence in Tsinghua University,(Rank 8/117, 15000RMB)
- 2025 Tsinghua Start-up Research Funding for Undergraduate, Tsinghua University(B level, 15000RMB Funding)
- 2025 First Prize for Medical Image Processing Course(Top 1)
Course PI: Prof. Guangzhi Wang, Prof. Qiyuan Tian, School of Biomedical Engineering, Tsinghua University - 2023 Comprehensive Scholarship for Excellence in Weixian College, Tsinghua University,(Top 10%-20%, 10000RMB)
📖 Educations
- 2022.09 – Present, Undergraduate student: Weixian College and School of Biomedical Engineering, Tsinghua University, China.
🎣 International Activities
- 2024.1 - 2024.2 [Website] Tsinghua Social Practice Team to Saudi Arabia (Associate Team Leader)
- 2024.2 - 2024.2 [Website] Weixian College Social Practice Team to Wuhan (Team Leader)
- 2024.7 - 2024.8 [Website] Tsinghua Social Practice Team to the United States (Team Member)
- 2025.3 - 2025.5 [Website] 2025 Tsinghua-Georgetown Youth Dialogue: The Future of U.S.- China Relations (Chinese Delegate)
- 2025.5 - 2025.5 [Website] 2025 Tsinghua-Pennsylvania Youth Dialogue (Chinese Delegate)
🔗 LINKS
BIRTH Lab: The lab for Brain Imaging Research at Tsinghua
CfaLab(Prof. Anqi QIU): Hong Kong Polytechnic University
Mingxuan Liu: School of Biomedical Engineering, Tsinghua University
Yifei Chen: School of Biomedical Engineering, Tsinghua University
Haowen Pang: Beijing Institute of Technology
Jialan Zheng: School of Biomedical Engineering, Tsinghua University
Xuguang Bai: School of Biomedical Engineering, Tsinghua University
Yijin Li:School of Biological Science and Medical Engineering, Beihang University