Xuguang Bai

Xuguang Bai

Tsinghua University

Anywhere on Earth Time:

I’m first-year Master’s student from School of Biomedical Engineering, Tsinghua University. My research interests include Medical Image Analysis, Multimodal Learning, and Foundation Models.

I am very fortunate to be advised by Prof. Qiyuan Tian of Birth Lab from School of Biomedical Engineering, Tsinghua University.

Other related links: Github / Wechat / Google scholar.

🔥 News

2026.07.10: 🎉🎉 Attended the Medical Image Computing Seminar (MICS) 2026.

2026.06.03: 🎉🎉 Attended BME 2026 (China Biomedical Engineering Conference & Medical Innovation Summit) and received the Excellent Paper Competition Third Prize.

2026.03.04: 🎉🎉 Attended the ISMRM Workshop on Unlocking the Potential of Prenatal MRI in Washington, D.C.

2025.12.14: 🎉🎉 Attended the Doctoral Interdisciplinary Frontier Forum & 810th Doctoral Academic Forum (Tsinghua University) and won Second Prize (¥3,000). Photo

2025.11.22: 🎉🎉 Attended the 2nd Graduate Academic Forum (School of Biomedical Engineering & School of Clinical Medicine, Tsinghua University). Photo

2025.09.27: 🎉🎉 Attended MICCAI 2025 in Daejeon, South Korea; won Second Prize in the MICCAI VLM3D Challenge .Photo

2025.07.19: 🎉🎉 Awarded First Prize in the 10th National Biomedical Engineering Innovation Design Competition. News

2025.06.21: 🎉🎉 Awarded Outstanding Undergraduate Graduate of Tsinghua University(Top 2%) News 1 News 2

2025.05.11: 🎉🎉 Selected as Tsinghua University School of Medicine Annual Undergraduate Figure. News

2025.04.28: 🎉🎉 Our Chest-OMDL Project got reported by official media of Tsinghua University. X Facebook

2025.04.28: 🎉🎉 Our paper addressed Multidisease Detection and Localization has been accepted by MIDL 2025.

📝 Publications

# co-first author | * corresponding author | status / venue shown in italics

JOURNAL PAPERS

  1. EXACT: An Explainable Anomaly-aware Vision Foundation Model for Analysis of 3D Chest CT
    [Paper]
    Xuguang Bai#, Mingxuan Liu#*, Tongxi Song#, Yifei Chen#, Hongjia Yang, Kasidit Anmahapong, Zihan Li, Ying Zhou, Qiyuan Tian*
    npj Digital Medicine. 2026. (Major Revision)
  2. Towards Reliable Fetal Ultrasound Interpretation with Multi-Agent Collaboration
    [Paper]
    Xiaotian Hu#, Mingxuan Liu#, Junwei Huang#, Kasidit Anmahapong, Yifei Chen, Yitong Luo, Yiming Huang, Xuguang Bai, Zihan Li, Yi Liao, Haibo Qu*, Qiyuan Tian*
    Medical Image Analysis (MedIA). 2026. (Major Revision)
  3. Towards Generalizable and Expert-level Fetal MRI Report Impression Generation via Adaptive Fine-tuning of Large Language Models
    Yijin Li#, Mingxuan Liu#, X. Zhang#, Yi Liao#, W. Chen, Kasidit Anmahapong, Z. Wang, Yifei Chen, Hongjia Yang, Xuguang Bai, D. Yue, X. Liu, N. Sun, R. Hu, M. Kang, Y. Song, H. Lai, X. Zhou, Juncheng Zhu, F. Jia, G. Ning, Haibo Qu*, Qiyuan Tian*
    npj Digital Medicine. 2026. (Major Revision)
  4. A Multimodal Foundation Model for Emergency Head CT Interpretation
    Jingyuan Zheng#, Yifei Chen#, Beining Wu#, Yuanhan Wang#, Mingxuan Liu#, Lu Li, Shuo Jiang, Weihong Chen, Liaoman Xu, Yueyi Wu, Chang Liu, Lulu Guo, Xuguang Bai, Zihan Li, Hongjia Yang, Feiwei Qin, Jingzhe Liu, Haibo Qu, Qiang Liao, Gang Zhao, Keqin Pan, Jun Guo, Lizhou Chen, Ying Zhou, Huaiqiang Sun*, Qiyuan Tian*
    Science Bulletin. 2026. (Major Revision, medRxiv 2026.07.07.26357429)
  5. A Retrospective Study of a Chinese Vision-Language Large Model for Emergency 3D Brain CT Interpretation
    Yifei Chen#, Jingyuan Zheng#, Yuanhan Wang#, Beining Wu, Lu Li, Mingxuan Liu, Liaoman Xu, Yueyi Wu, Chang Liu, Lulu Guo, Hongjia Yang, Xuguang Bai, Feiwei Qin, Qiang Liao, Yong Gu, Gang Zhao, Lu Ma, Keqin Pan, Jun Guo, Ying Zhou, Huaiqiang Sun*, Qiyuan Tian*
    medRxiv preprint. 2026. (medRxiv 2026.07.11.26357421)
  6. Preoperative CTA-based Deep Learning Model for Predicting AKI After TEVAR in Type B Aortic Dissection
    Mingxuan Liu#, Xuguang Bai#, M. Zhang, Yifei Chen, Hongjia Yang, Z. Wang, Yitong Luo, Ying Zhou, X. Han*, Qiyuan Tian
    Radiology: Artificial Intelligence (Radiology: AI). 2026. (Under Review)

CONFERENCE PAPERS

  1. FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis
    [Paper] [Code]
    Xiaotian Hu#, Junwei Huang#, Mingxuan Liu#, Kasidit Anmahapong, Yifei Chen, Yitong Luo, Yiming Huang, Xuguang Bai, Zihan Li, Yi Liao, Haibo Qu, Qiyuan Tian*
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2026. (Early Accept, Top 9%)
  2. WARPNet: Scale-wise Autoregressive Cross-modal Synthesis for Accurate and Detail-preserving MRI-to-PET Generation
    [Paper] [Code]
    Guanyu Zhou#, Yifei Chen#, Gaoxiang Ying, Mingxuan Liu, Xuguang Bai, Jialan Zheng, Bixiao Cui, Qiyuan Tian*, Jie Lu*
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2025. (Oral)
  3. FetalExtract-LLM: Structured Information Extraction in Free-Text Fetal MRI Reports Based on Privacy-Ensuring Open-weights Large Language Models
    [Paper]
    Mingxuan Liu#, Yijin Li#, Juncheng Zhu#, Hongjia Yang, Yiming Huang, Haoxiang Li, Yifei Chen, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian*
    MICCAI Workshop on Perinatal, Preterm and Paediatric Image Analysis (PIPPI). 2025. (Oral)
  4. Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest CT Using Weakly Supervised Deep Learning from Free-text Radiology Report
    [Paper] [Code]
    Xuguang Bai#, Mingxuan Liu#, Yifei Chen, Hongjia Yang, Qiyuan Tian*
    Medical Imaging with Deep Learning (MIDL). 2025. (MICCAI 2025 VLM3D Challenge 2nd Place Winner)
  5. FetalCSR: Multi-input Attention Fusion Network for Neural ODE-based Fetal Cortical Surface Reconstruction
    [Paper] [Code]
    Haoxiang Li#, Mingxuan Liu#, Xuguang Bai, Yi Liao, Jialan Zheng, Hongjia Yang, Zihan Li, Haibo Qu, Qiyuan Tian*
    ICLR 2025 Workshop on AI for Children (ICLR Workshop). 2025. (Oral)

CONFERENCE ABSTRACTS

  1. Preoperative CTA-based Deep Learning Model for Predicting AKI After TEVAR in Type B Aortic Dissection
    Xuguang Bai, Mingxuan Liu, M. Zhang, Hongjia Yang, Z. Wang, Yitong Luo, Ying Zhou, X. Han, Qiyuan Tian
    China Biomedical Engineering Conference & Medical Innovation Summit (BME). 2026. (Oral, Excellent Paper Competition Third Prize)
  2. Quality-Label-Free Stack-Level Quality Control Improves Fetal Brain Slice-to-Volume Reconstruction
    Mingxuan Liu, Yingqi Hao, Yi Liao, Haoxiang Li, Juncheng Zhu, Hongjia Yang, Yifei Chen, Xuguang Bai, Haibo Qu, Qiyuan Tian*
    ISMRM Workshop on Unlocking the Potential of Prenatal MRI. 2026. (Traditional Poster)
  3. AlignPET: Structure-Aligned MRI-to-PET Synthesis via Variational Autoregression Model for Ischemic Brain Lesions
    Yifei Chen, Guanyu Zhou, Y. Wang, Mingxuan Liu, Xuguang Bai, Jialan Zheng, Bixiao Cui, Jie Lu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Oral Power Pitch)
  4. Automated Induction of Standardized Reporting Templates from Fetal Brain MRI Free-Text Corpora
    X. Zhang, Mingxuan Liu, Hongjia Yang, Yifei Chen, Juncheng Zhu, Xuguang Bai, Yiming Huang, Yingqi Hao, Zihan Li, Yi Liao, G. Ning, Haibo Qu, Qiyuan Tian*
    OHBM Annual Meeting (OHBM). 2026. (Poster)
  5. Modality-Agnostic PET Synthesis from Single-Modality Thick-Slice MRI via Structured MRI-PET Mapping
    Yifei Chen, Guanyu Zhou, Y. Wang, Mingxuan Liu, Xuguang Bai, Jialan Zheng, Bixiao Cui, Jie Lu, Qiyuan Tian*
    OHBM Annual Meeting (OHBM). 2026. (Poster)
  6. From Free Text to Usable Labels: Privacy-Ensuring Open-weights LLM-Enhanced Clinical Report Extraction for Fetal MRI
    [Paper]
    Mingxuan Liu, Yijin Li, Juncheng Zhu, Hongjia Yang, Yiming Huang, Haoxiang Li, Yifei Chen, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian*
    Beijing-Tsinghua Health AI Summit (BEIHAI). 2025. (Oral, Second Prize of Oral Presentation)
  7. Anatomy-guided Test-Time Adaptation for Automated Fetal Brain MRI Morphometry
    [Paper]
    Yijin Li#, Mingxuan Liu#, Hongjia Yang, Haoxiang Li, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian*
    Medical Imaging with Deep Learning (MIDL). 2025. (Poster)
  8. 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)

🧑‍⚖️ Academic Service

Conference Organization

  • 2026 Co-organizer, MICS 2026 — Medical Image Computing Seminar

Conference Reviewer

  • 2026 MICCAI — International Conference on Medical Image Computing and Computer-Assisted Intervention
  • 2026 ICME — IEEE International Conference on Multimedia and Expo

🎖 Honors and Awards

  • [Certificate] 2025 Second Prize of Oral Presentation, 810th Doctoral Academic Forum (Doctoral Interdisciplinary Frontier Forum), Tsinghua University
  • [Certificate] 2025 MICCAI VLM3D Challenge 2nd Place Winner
  • [Certificate] 2025 First Prize in the 10th National Biomedical Engineering Innovation Design Competition, China.
  • [Certificate] 2025 Outstanding Graduate Award (Top 2%), Tsinghua University
  • [Certificate] 2025 Tsinghua University School of Medicine Annual Undergraduate Figure, Tsinghua University
  • [Certificate] 2024 National Scholarship, Ministry of Education, P.R. China (Top 1 in department)
          Top scholarship in China. 0.2% domestically.
  • [Certificate] 2023 Scholarship for Comprehensive Academic Excellence, Tsinghua University
  • [Certificate] 2022 Scholarship for Athletic Achievement, Tsinghua University
  • [Certificate] 2022 Third Prize in the 25th Hardware Design Competition, Tsinghua University.

📖 Educations

  • 2025.09 - 2028.06, Master’s student: School of Biomedical Engineering, Tsinghua University, China.
  • 2021.09 - 2025.06, Undergraduate student: School of Biomedical Engineering, Tsinghua University, China.

⚽️ Sports Activities and Honors

  • 2025.05, Placed 5th in the Capital University Football League (Group B, non-athletic recruit), representing Tsinghua University in Beijing.
  • 2025.04, Participated in a friendly match with former Chinese National Team players Huang Bowen and Yu Dabao. Photo A Photo B
  • 2024.11, Placed 4th in the Capital University Football League (Group B, non-athletic recruit), representing Tsinghua University. Photo
  • 2024.10,Participated in football exchange activities in Xinjiang, China, as a member of the Tsinghua University Men’s Football Team. Photo A Photo B
  • 2024.09, Selected as a regular member (non-athletic recruit) of the Tsinghua University Men’s Football Team. Photo
  • 2024.05, Placed 4th in the Men’s 200m at the Tsinghua University Athletics Meet. Photo
  • 2024.05, Placed 7th in the Men’s 100m at the Tsinghua University Athletics Meet. Photo
  • 2024.04, As team captain, led the School of Medicine to successfully remain in Group B of the Tsinghua University Ma Yuehan Cup Football League. Photo
  • 2023.05, Placed 4th in the Tsinghua University Ma Yuehan Cup Group A Football League, as a starting member of the Department of Electronic Engineering team. Photo
  • 2022.05, Won the Championship in the Tsinghua University Freshmen Cup Football Tournament. Photo
  • 2021.10, Won the Men’s 100m Championship at the Tsinghua University Barefoot Athletics Meet.

🔗 LINKS

BIRTHLab: The lab for Brain Imaging Research at Tsinghua
Mingxuan Liu:: School of Biomedical Engineering, Tsinghua University
Haoxiang Li: School of Biomedical Engineering, Tsinghua University
Yifei Chen: School of Biomedical Engineering, Tsinghua University
Jianglan Zheng: School of Biomedical Engineering, Tsinghua University
Yingqi Hao: School of Biomedical Engineering, Tsinghua University