Xiaotian Hu

Xiaotian Hu

Beihang University

🐰 About Me

Hi, I am a third-year undergraduate student at the School of Biological Science and Medical Engineering, Beihang University.

I currently work as a research assistant at Birth Lab, supervised by Prof. Qiyuan Tian from the School of Biomedical Engineering, Tsinghua University.

You can find my CV here.

‼️‼️ I am actively seeking research collaborations and internship opportunities in LLMs, AI agents, and other related areas, please feel free to contact me.

🔥 News

📝 Publications

Conference Papers

  • FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis
    X. Hu#, J. Huang#, M. Liu#, K. Anmahapong, Y. Chen, Y. Luo, Y. Huang, X. Bai, Z. Li, Y. Liao, H. Qu, and Q. Tian*
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Early Aceept (Top 9%) [Paper] [code]

  • INSTA: Implicit Neural Spatio-Temporal Atlas from Thick-Slice Clinical Fetal Brain MRI
    X. Hu, M. Liu, H. Yang, Y. Li, Y. Hao, H. Li, Y. Chen, Z. Li, J. Zhu, Y. Liao, G. Ning, H. Qu, and Q. Tian*
    ISMRM Workshop on Unlocking the Potential of Prenatal MRI: Advances in Fetal Brain, Heart & Placenta Imaging, 2026 (ISMRM, Oral)

  • Benchmarking Spatiotemporal Fetal Brain Atlas Construction
    X. Hu, M. Liu, Y. Li, H. Yang, Y. Hao, H. Li, Y. Chen, Z. Li, J. Zhu, Y. Liao, G. Ning, H. Qu, and Q. Tian*
    OHBM Annual Meeting (OHBM), 2026 (Poster)

  • R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
    Y. Wang#, Y. Chen#, B. Wu, M. Liu, X. Hu, C. Jiang, Y. Li, C. Wang, F. Qin, and Q. Tian
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Early Aceept (Top 9%) [code]

  • BioTTA: Maximizing Domain Generalization in Automatic Fetal Brain Biometry with Test-Time Adaptation
    Y. Li, M. Liu, H. Yang, X. Hu, Y. Liao, K. Anmahapong, Z. Wang, J. Zhu, Y. Hao, Y. Chen, H. Li, Z. Li, F. Jia, H. Qu, and Q. Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM), 2026 (Oral)

  • DIMONER: Diffusion Model Optimization via Implicit Neural Representations with Signal Embedding
    Z. Li, J. Zheng, H. Yang, M. Liu, X. Hu, Y. Li, H. Liao, and Q. Tian*
    OHBM Annual Meeting (OHBM), 2026 (Poster)

  • Towards Robustness Fetal Brain Development Monitoring and Universal Multi-Disease Diagnosis
    Y. Li, M. Liu, H. Yang, Y. Liao, K. Anmahapong, Z. Wang, J. Zhu, X. Hu, Y. Hao, Y. Chen, H. Li, Z. Li, F. Jia, H. Qu, and Q. Tian*
    OHBM Annual Meeting (OHBM), 2026 (Poster)

  • View-Conditioned Collaborative Learning for Semi-Supervised Fetal Cardiac Ultrasound Analysis
    Z. Gao#, C. Zhang#, M. Liu, Y. Chen, X. Hu, and Q. Tian*
    IEEE International Symposium on Biomedical Imaging (ISBI), 2026 (Challenge Paper)

Under Review

  • FetUSAgents: Towards Reliable Fetal Ultrasound Interpretation with Multi-Agent Collaboration
    X. Hu#, M. Liu#, J. Huang#, K. Anmahapong, Y. Chen, Y. Huang, X. Bai, Z. Li, H. Yang, Y. Hao, H. Xu, Y. Jiang, T. Tian, Y. Liao, H. Qu, and Q. Tian
    Submit to Medical Image Analysis (MedIA). arXiv preprint. [Paper] [code]

  • INFANiTE: Implicit Neural Representation for High-Resolution Fetal Brain Spatio-Temporal Atlas Learning from Clinical Thick-Slice MRI
    X. Hu, M. Liu#, H. Yang#, J. Zhu, Y. Li, Y. Chen, H. Li, Z. Li, Y. Hao, Z. Li, Y. Zhang, G. Ning, Y. Liao, H. Qu, and Q. Tian*
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Under Review [Paper] [code]

  • Simple Baselines for Fetal Brain Unsupervised Anomaly Detection
    H. Yang#, M. Liu#, Y. Hao#, X. Hu, Y. Li, J. Zhu, J. Liu, X. Bai, Y. Chen, J. Huang, Z. Li, Y. Liao, Z. Li, H. Qu, and Q. Tian*
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Under Review [code]

  • FetMRIE: Unsupervised Fetal Brain MRI Image Enhancement with Anatomical Fidelity via Adaptive State-Matching Denoising Diffusion
    Y. Hao#, Y. Luo#, M. Liu#, H. Yang, J. Zhu, X. Hu, K. Anmahapong, Z. Li, Y. Li, Y. Chen, J. Liu, G. Ning, Y. Liao, H. Qu, and Q. Tian*
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Under Review [code]

  • Maximizing Domain Generalization in Automated Fetal Brain Biometry
    Y. Li#, M. Liu#, L. Chang#, H. Yang, K. Anmahapong, Z. Wang, X. Hu, Y. Hao, H. Li, Y. Chen, X. Li, F. Jia, Y. Liao, H. Qu, and Q. Tian*
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Under Review

🎖 Honors and Awards

  • 2025 National Scholarship (Top 0.2% nationwide)
  • 2025 Outstanding Student
  • 2025 Merit Student
  • 2025 Learning Excellence Scholarship, Special Prize
  • 2025 Academic Competition Scholarship, Special Prize
  • 2025 Outstanding Individual in Medical-Engineering Interdisciplinary Studies

  • 2025.09 AI4Life Supervised Microscopy Image Denoising Challenge, Second Place

  • 2024 National Scholarship (Top 0.2% nationwide)
  • 2024 Outstanding Student
  • 2024 Merit Student
  • 2024 Learning Excellence Scholarship, Special Prize
  • 2024 Academic Competition Scholarship, Special Prize
  • 2024 Outstanding Individual in Medical-Engineering Interdisciplinary Studies
  • 2024 Social Work Excellence Scholarship, Second Prize
  • 2024.12 First Prize, 16th Chinese Mathematics Competition for College Students
  • 2024.12 First Prize, 35th Beijing College Student Mathematics Competition
  • 2024.12 Third Prize, 40th National College Physics Competition (Selected Regions)
  • 2024.12 Third Prize, Beihang University Physics Competition
  • 2024.05 Meritorious Winner, Mathematical Contest in Modeling (MCM)

📖 Educations

  • Sep. 2023 - Jun. 2027, Undergraduate student: Biological Science and Medical Engineering, Beihang University, Beijin, China.

💬 Invited Talks

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  • 2021.03, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. | [video]

💻 Internships

  • 2019.05 - 2020.02, Lorem, China.