I am a senior undergraduate student from Weixian College and School of Biomedical Engineering, Tsinghua University. My current 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 was previously working as volunteer(no stipend) RA with 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

2026.2.12: 🎉🎉 Three co-author works accepted by OHBM 2026.

2026.2.9: 🎉🎉 One co-author work OR-KAN accepted by Medical Image Analysis.

2026.2.4: 🎉🎉 Two abstracts have been accepted by ISMRM/ISMRT 2026, one as oral. Three co-authors abstracts accepted.

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

1. 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)
2. FetMRIE: Unsupervised Fetal Brain MRI Image Enhancement with Anatomical Fidelity via Adaptive State-Matching Denoising Diffusion
   Yingqi Hao#, Yitong Luo#, Mingxuan Liu#, Hongjia Yang, ..., Yi Liao, Haibo Qu*, Qiyuan Tian*
   MICCAI. 2026. (Under Review)
3. Simple Baselines for Fetal Brain Unsupervised Anomaly Detection
   Hongjia Yang#, Mingxuan Liu#, Yingqi Hao#, Xiaotian Hu, Yijin Li, ... , Yi Liao, Haibo Qu*, Qiyuan Tian*
   MICCAI. 2026. (Under Review)
4. 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)
5. Diffusion MRI-guided Infant Brain MRI Tissue Contrast Enhancement through Image Translation
   Yingqi Hao, Haoxiang Jiang, Anqi Qiu
   ISMRM/ISMRT 2026 (Oral).

JOURNAL PAPERS

1. Development and validation of an annotation-free deep learning framework for automated detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI: a retrospective multicentre cohort study
   Mingxuan Liu#, Yingqi Hao#, Yi Liao#, Juncheng Zhu, Haoxiang Li, Hongjia Yang, ..., Gang Ning, Haibo Qu*, Qiyuan Tian*
   The Lancet Medical Imaging & Theranostics. (Under Peer Review)
2. 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*
   Imaging Neuroscience. (Under Peer Review)
3. 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). 2026.

🎖 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
Mingxuan Liu: School of Biomedical Engineering, Tsinghua University
Dr. Pengli Zhu:Hong Kong Polytechnic 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
Prof. Anqi Qiu: Hong Kong Polytechnic University