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I am an incoming PhD student at the Department of Engineering Science, University of Oxford, supervised by Prof. Alison Noble and Dr. Cheng Ouyang. I received my Bachelor’s degree from Weixian College and School of Biomedical Engineering, Tsinghua University. During my undergraduate studies, I was supervised by Prof. Qiyuan Tian at Birth Lab, and worked closely with PhD student Mingxuan Liu.

My research interests include medical agents, medical foundation models, fetal imaging and AI for neuroscience.

Email: yqhao2004@gmail.com (preferred), yingqi.hao@eng.ox.ac.uk (less frequent checked)

Know more about me from: CV / Google Scholar / Wechat

Feel free to reach out to me for possible collaborations!

🔥 News

2026.6.25: 🎉🎉 I was awarded the Outstanding Undergraduate Thesis at Tsinghua University. (1/40)

2026.6.25: 🎉🎉 One co-author work accepted by MICCAI 2026.

2026.6.9: 🎉🎉 PANDA accepted by Imaging Neuroscience!

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-author abstracts accepted.

2025.10.10: 🎉🎉 I was awarded 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

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*
Medical Image Analysis (MedIA). (Under Review)
Development and validation of a deep learning model for fetal brain magnetic resonance image enhancement without clean reference: a multi-center study
Yingqi Hao#, Mingxuan Liu#, Yi Liao, Yitong Luo, ..., Haibo Qu*, Qiyuan Tian*
Radiology: Artificial Intelligence (RYAI). (Under Review)
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. 2026.
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 (MedIA). 2026.

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)
Simple Baselines for Fetal Brain Unsupervised Anomaly Detection
Hongjia Yang#, Mingxuan Liu#, Yingqi Hao#, Xiaotian Hu, Yijin Li, ..., Yi Liao, Haibo Qu*, Qiyuan Tian*
IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2026. (Under Review)
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)

2026 Outstanding Undergraduate Thesis, Tsinghua University (1/40)
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)

2026.10 – , Incoming PhD student: Department of Engineering Science, University of Oxford, United Kingdom.
2022.09 – 2026.06, B.Eng: Weixian College and School of Biomedical Engineering, Tsinghua University, China.

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)