Mingxuan Liu

Mingxuan Liu

Tsinghua University

Anywhere on Earth Time:

I’m Second-year PhD student from School of Biomedical Engineering, Tsinghua University. My research interest includes AI for Neuroscience, Medical Image Analysis, Spiking Neural Network.

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

I was previously advised by Prof. Hong Chen from School of Integrated Circuits, Tsinghua University.

You can find my CV here: Mingxuan Liu’s Curriculum Vitae.

Other related links: Github / Wechat / Google scholar / Semantic scholar.

📻 News

2025.10.24: 🎉🎉 Awarded BEIJING-TSINGHUA HEALTH AI SUMMIT 2025 (BEIHAI SUMMIT 2025) Second Prize of Oral Presentation.

2025.10.22: Attended the Beijing-Tsinghua Health AI Summit and presented our work to Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health. Photo

2025.10.11: Attended the ISICDM 2025 in Beijing. Photo

2025.10.10: 🎉🎉 Two abstracts accepted by BEIHAI Summit 2025.

2025.10.05: 🎉🎉 Two papers accepted by BIBM 2025.

2025.09.27: 🎉🎉 Attended MICCAI 2025 in Daejeon, South Korea; won 2nd place in the MICCAI VLM3D Challenge and 1st place in the autoPET IV Challenge; delivered an oral presentation at the PIPPI Workshop. Photo Photo Photo Photo

2025.09.07: Attended the 2025 Beijing Radiology Quality Control Conference. Photo

2025.08.08: Google Scholar citations have reached 100! 🎈

2025.07.27: Birth Lab’s participation in ISMRM 2025 was reported by official media of Tsinghua University. X Facebook

2025.07.23: 🎉🎉 One abstract accepted by RSNA 2025.

2025.07.22: 🎉🎉 Our work about Chest CT Foundation Model Awarded the 1st prize at the 10th National Biomedical Engineering Innovation Design Competition for College Students (Top 5%).

2025.07.20: Attended the MICS 2025 in Cixi, Zhejiang. Photo

2025.07.17: 🎉🎉 Our paper addressed Structured Information Extraction has been accepted by PIPPI 2025.

2025.07.12: Attended the MIDL 2025 in Salt Lake City. Photo

2025.06.27: Attended the OHBM 2025 in Brisbane. Photo

2025.05.24: 🎉🎉 Awarded 2025 OHBM Merit Abstract Award (Top 1.6%, 34/2130)!

2025.05.19: Our Chest-OMDL Project got reported by official media of Tsinghua University. X Facebook

2025.05.14: Attended the ISMRM 2025 in Honolulu. Photo

2025.05.02: 🎉🎉 Our several short papers have been accepted by MIDL 2025.

2025.04.24: Attended the ICLR 2025 in Singapore. Photo

2025.03.28: 🎉🎉 Our paper addressed Multidisease Detection and Localization has been accepted by MIDL 2025.

2025.03.06: 🎉🎉 Our paper addressed Fetal Cortical Surface Reconstruction has been accepted by ICLR 2025 Workshop AI4CHL as Oral Paper Presentation.

2025.02.16: Attended the ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives in Kyoto, Japan. Photo

2025.02.12: 🎉🎉 Our several papers have been accepted by OHBM 2025.

2025.02.01: 🎉🎉 Our several papers have been accepted by ISMRM 2025.

2025.01.03: 🎉🎉 Our paper addressed Remote Photoplethysmography has been accepted by Neural Networks.

2024.12.25: 🎉🎉 Our several papers have been accepted by ISMRM 2025 Workshop on 40 Years of Diffusion.

2024.11.24: Attended the 2024 British Machine Vision Conference (BMVC) in Glasgow, UK. Photo

2024.09.22: Attended the 2024 Annual Meeting of the Neuroimaging Committee of Chinese Psychological Society, held in Nanjing. Photo

2024.07.25: 🎉🎉 Awarded the 1st prize at the 9th National Biomedical Engineering Innovation Design Competition for College Students (Top 5%).

2024.07.20: 🎉🎉 Our paper addressed Sign Language Recognition has been accepted by BMVC 2024.

2024.07.17: 🎉🎉 Our paper addressed Fetal Brain GMH-IVH Detection has been accepted by RSNA 2024 as oral paper presentation (Top 10%).

2024.07.17: 🎉🎉 Our paper addressed Automated quantification of myelination in fetal brains has been accepted by RSNA 2024 as poster.

2024.07.14: Attended the Medical Imaging Computing Seminar 2024 (MICS 2024). Photo

2024.07.04: Attended the ADVANCED IMAGING AND MICROSCOPY (AIM 2024). Photo

2024.07.02: 🎉🎉 Awarded Outstanding Graduate of Beijing and Outstanding Graduate of Tsinghua University (Top 2%) !

2024.05.10: Attended the ISMRM-Endorsed Global Outreach Workshop in Thailand 2024. Photo

2024.05.07: Attended the ISMRM 2024 held in Singapore and gave a presentation.

2024.04.20: 🎉🎉 Awarded 2024 ISMRM Magna Cum Laude Merit Award (Top 15%)!

2024.04.18: 🎉🎉 Our paper addressed Unsupervised Medical Image Anomaly Detection has been accepted by IEEE Transactions on Instrumentation and Measurement.

2024.04.14: Attended the ICASSP 2024 held in held in Seoul and posted a poster.

2024.02.13: 🎉🎉 Awarded Educational Stipend Award by 2024 ISMRM!

2024.01.26: 🎉🎉 Our paper addressed Fetal MRI image quality assessment has been accepted by ISMRM 2024 as oral power pitch (top 13%).

2024.01.26: 🎉🎉 Our paper addressed Fetal cortex reconstruction has been accepted by ISMRM 2024.

2023.12.12: 🎉🎉 Our paper addressed Image deblurring has been accepted by IEEE ICASSP 2024.

2023.11.24: 🎉🎉 Won the top3 Prize in AI Health Summit 2023 Poster Competition.

2023.11.23: Attended the AI Health Summit 2023 held in Singapore and posted a poster.

2023.10.20: 🎉🎉 Our abstract addressed Fetal MRI image quality assessment has been accepted by AI Health Summit 2023

2023.10.15: 🎉🎉 Awarded National Scholarship by Ministry of Education!

2023.10.02: Attended the NUS-THU Joint Workshop on Biomedical Engineering 2023 hosted by the National University of Singapore and posted a poster.

2023.07.16: Attended the IEEE ASYNC 2023 held in Beijing, China.

2023.05.21: 🎉🎉 Our paper addressed Tooth-Marked Tongue Classification has been accepted by IEEE ISCAS 2023.

2023.05.21: 🎉🎉 Our paper addressed Unsupervised Medical Image Anomaly Detection has been accepted by IEEE ISCAS 2023.

📝 Publications

# co-first author | * corresponding author

JOURNAL PAPERS

  1. Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
    [Paper] [Code]
    Mingxuan Liu#, Jiankai Tang#, Chengli Yong, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Jie Gan, Yuntao Wang*, Hong Chen*
    Neural Networks (NN). 2025.
  2. Anomaly Detection for Medical Images Using Teacher-Student Model with Skip Connections and Multi-scale Anomaly Consistency
    [Paper] [Code]
    Mingxuan Liu, Yunrui Jiao, Jingqiao Lu, Hong Chen*
    IEEE Transactions on Instrumentation and Measurement (IEEE TIM). 2024.

CONFERENCE PAPERS

  1. WARPNet: Scale-wise Autoregressive Cross-modal Synthesis for Accurate and Detail-preserving MRI-to-PET Generation
    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)
  2. DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality MRI Conditions for Brain Tumor Segmentation
    Yuanhan Wang#, Yifei Chen#, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Shenghao Zhu, Feiwei Qin, Changmiao Wang*
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2025. (Oral)
  3. autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT
    [Paper] [Code]
    Junwei Huang, Yingqi Hao, Yitong Luo, Ziyu Wang, Mingxuan Liu, Yifei Chen, Yuanhan Wang, Lei Xiang, Qiyuan Tian*
    MICCAI autoPET IV challenge (MICCAI). 2025. (1st Place Winner)
  4. 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)
  5. Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography 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. (Poster) (MICCAI VLM3D Challenge 2nd Place Winner)
  6. 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 Paper Presentation)
  7. Spike-SLR: An Energy-efficient Parallel Spiking Transformer for Event-based Sign Language Recognition
    [Paper] [Project]
    Xinxu Lin#, Mingxuan Liu#, Kezhuo Liu, Hong Chen*
    The British Machine Vision Conference (BMVC). 2024. (Poster)
  8. SAM-Deblur: Let Segment Anything Boost Image Deblurring
    [Paper] [Project]
    Siwei Li#, Mingxuan Liu#, Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen*, Zifei Dou*
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2024. (Poster)
  9. Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
    [Paper] [Code]
    Mingxuan Liu#, Jie Gan#, Rui Wen#, Tao Li, Yongli Chen, Hong Chen*
    IEEE International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI). 2024. (Best Paper Award)
  10. Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections
    [Paper] [Code]
    Mingxuan Liu, Yunrui Jiao, Hong Chen*
    IEEE International Symposium on Circuits and Systems (ISCAS). 2023. (Oral Paper Presentation)
  11. PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification
    [Paper]
    Jingqiao Lu, Mingxuan Liu, Hong Chen*
    IEEE International Symposium on Circuits and Systems (ISCAS). 2023. (Poster)
  12. Data Augmentation Using Image-to-image Translation for Tongue Coating Thickness Classification with Imbalanced Data
    [Paper]
    Mingxuan Liu, Yunrui Jiao, Hongyu Gu, Jingqiao Lu, Hong Chen*
    IEEE Biomedical Circuits and Systems Conference (BioCAS). 2022. (Oral Paper Presentation)

CONFERENCE SHORT 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. 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)
  3. Self-Supervised Cortical Surface Reconstruction for Ultra High-resolution ex vivo 7T MRI
    [Paper]
    Haoxiang Li#, Mingxuan Liu#, Hongjia Yang, Yi Liao, Haibo Qu, Jonathan R. Polimeni, Qiyuan Tian*
    Medical Imaging with Deep Learning (MIDL). 2025. (Poster)

CONFERENCE ABSTRACTS

  1. Machine Learning and Deep Learning for Pediatric and Adolescent Myopia Prediction
    [Paper]
    Yitong Zhang, Mingxuan Liu, Ying Wu, Lijun Zhang, Caixia Chai, Zhengyuan Liu, Qiyuan Tian*
    Beijing-Tsinghua Health AI Summit (BEIHAI). 2025. (Poster)
  2. 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)
  3. HUMMID: High-fidelity Ultra-fast Macrostructure and Microstructure brain Imaging using Deep learning
    [Paper]
    Yuhang He, Jialan Zheng, Hongjia Yang, Yifei Chen, Zihan Li, Mingxuan Liu, Qiuyun Fan, Yi Liao, Haibo Qu, Qiyuan Tian, Jie Lu, Ziyu Li*
    Annual Meeting of Radiological Society of North America (RSNA). 2025. (Poster)
  4. Unsupervised Fetal Brain MRI Quality Assessment based on Orientation Prediction Uncertainty
    [Paper]
    Mingxuan Liu, Haoxiang Li, Zihan Li, Hongjia Yang, Jialan Zheng, Haibo Qu, Qiyuan Tian*
    OHBM Annual Meeting (OHBM). 2025. (Poster, OHBM Merit Abstract Award, Top 1.6%)
  5. Unsupervised Anomaly Detection for Fetal Brain MRI using Two-Stage Denoising Autoencoder (ω-DAE)
    [Paper]
    Yingqi Hao, Mingxuan Liu, Juncheng Zhu, Hongjia Yang, Yi Liao, Haibo Qu, Qiyuan Tian*
    OHBM Annual Meeting (OHBM). 2025. (Poster)
  6. Volume Reconstruction from Single MRI Thick-slice Stack with Deep Learning for Fetal Brain
    [Paper]
    Yang H, Liu M, Liao Y, Zhu J, Li H, Li Z, Zhang J, Zheng J, Li Z, Qu H, Tian Q*
    OHBM Annual Meeting (OHBM). 2025. (Poster)
  7. FreeHemoSeg: Label-Free Deep Learning Framework for Automated Segmentation of Fetal Brain Germinal Matrix and Intraventricular Hemorrhage
    [Paper]
    Liu M, Liao Y, Zhu J, Li H, Yang H, Zheng J, Li ZH, Li ZY, Qu H, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Digital Poster)
  8. FetalSR: Super-resolving High-isotropic-resolution Image Volume from Single Thick-slice Stack with Deep Learning for Fetal Brain Morphometry
    [Paper]
    Yang H, Liu M, Liao Y, Li H, Zhu J, Li Z, Zhang J, Zheng J, Li Z, Qu H, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Oral Presentation, ISMRM Summa Cum Laude Merit Award, TOP 5%)
  9. CortexKAN: Multi-input KAN for fetal cortical surface reconstruction
    [Paper]
    Li H, Liu M, Liao Y, Zhu J, Zheng J, Yang H, Li Z, Qu H, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Digital Poster)
  10. FetalSFUDA: Source-Free Unsupervised Domain Adaptation for Fetal Brain Extraction from Different Centers or MRI Sequences
    [Paper]
    Li Y, Liu M, Zhu J, Yang H, Zheng J, Li Z, Liao Y, Qu H, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Digital Poster)
  11. Negative Impacts of Germinal Matrix-Ventricular Hemorrhage on Prenatal and Postnatal Brain Development
    [Paper]
    Li H, Liao Y, Zhu J, Liu M, Zheng J, Yang H, Li Z, Li Z, Tian Q, Qu H*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Digital Poster, ISMRM Summa Cum Laude Merit Award, Top 5%)
  12. DiffKAN: Convolutional Kolmogorov-Arnold Networks for Improved Diffusion MRI Microstructural Modeling
    [Paper]
    Chen Y, Li Z, Wang Y, Li Z, Zheng J, Yang H, Liu M, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Digital Poster)
  13. DeepEddy: high-quality fast eddy current and bulk motion correction using deep learning-based image synthesis and co-registration
    [Paper]
    Zhang J, Lange F, Andersson J, Zheng J, Jing Y, Yang H, Liu M, Li Z, Wu W, Tian Q, Li Z*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Oral Presentation, Magna Cum Laude Merit Award, Top 15%)
  14. DIMOND++: Improving diffusion model optimization using diffusion priors
    [Paper]
    Li Z, Zheng J, Li Z, Wang Z, Liu M, Ning G, Liao H, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Oral Power Pitch, Magna Cum Laude Merit Award, Top 15%)
  15. High-fidelity Ultra-fast Diffusion Tensor Imaging in Stroke Patients Using Transfer Learning
    [Paper]
    Jing Y, Li Z, Yu Y, Zhou J, Li Z, Zheng J, Yang H, Liu M, Wu W, Tian Q, Lu J*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Digital Poster)
  16. Impacts of diffusion MRI spatial resolution on the short-range association fiber reconstruction and connectivity estimation
    [Paper]
    Zheng J, Yang C, Zhong W, Wang Z, Li H, Li Z, Liu M, Yang H, Cao X, Liao C, Salat DH, Huang SY, Tian Q*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2025. (Traditional Poster)
  17. BrainSFUDA: Fetal Brain Extraction from Diffusion-weighted MR Images using Source-free Unsupervised Domain Adaption
    [Paper]
    Yijin Li, Mingxuan Liu, Junchen Zhu, Hongjia Yang, Jialan Zheng, Ziyu Li, Yi Liao, Haibo Qu, Qiyuan Tian*
    ISMRM Workshop on 40 Years of Diffusion. 2025. (Oral Power Pitch)
  18. DiffKAN3D: Efficient and Accurate 3D Diffusion MRI Parameter Estimation for Real-Time Clinical Applications
    [Paper]
    Yifei Chen, Zihan Li, Shenghao Zhu, Ziyu Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Qiyuan Tian*
    ISMRM Workshop on 40 Years of Diffusion. 2025. (Poster)
  19. Effect of Diffusion MRI Acquisition and Nominal Spatial Resolutions on Fiber Reconstruction and Connectivity Estimation
    [Paper]
    Zheng J, Yang C, Zhong W, Wang Z, Li H, Li Z, Liu M, Yang H, Cao X, Liao C, Salat DH, Huang SY, Tian Q*
    ISMRM Workshop on 40 Years of Diffusion. 2025. (Oral Presentation)
  20. DeepEddy: high-quality eddy current and bulk motion correction using deep learning-based image synthesis and co-registration
    [Paper]
    Jize Zhang, Frederik Lange, Jesper Andersson, Jialan Zheng, Yi Jing, Hongjia Yang, Mingxuan Liu, Zihan Li, Wenchuan Wu, Qiyuan Tian, Ziyu Li*
    ISMRM Workshop on 40 Years of Diffusion. 2025. (Oral Presentation)
  21. DIMOND++: Improving diffusion model optimization using diffusion priors
    [Paper]
    Zihan Li, Jialan Zheng, Ziyu Li, Ziang Wang, Mingxuan Liu, Hongjia Yang, Guochen Ning, Hongen Liao, Qiyuan Tian*
    ISMRM Workshop on 40 Years of Diffusion. 2025. (Poster)
  22. Detecting Fetal Germinal Matrix and Intraventricular Hemorrhage in Brain MRI Using Label-free Deep Learning
    [Paper]
    Mingxuan Liu, Haoxiang Li, Juncheng Zhu, Jialan Zheng, Hongjia Yang, Zihan Li, Ziyu Li, Qiyuan Tian*
    Annual Meeting of Radiological Society of North America (RSNA). 2024. (Oral Paper Presentation)
  23. Image Quality Assessment using an Orientation Recognition Network for Fetal MRI
    [Paper]
    Mingxuan Liu, Haoxiang Li, Zihan Li, Hongjia Yang, Jialan Zheng, Xiao Zhang, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2024. (Oral Power Pitch, Magna Cum Laude Merit Award, Top 15%)
  24. FetalSurfer: Automated Fetal Cortical Surface Reconstruction
    [Paper]
    Haoxiang Li, Mingxuan Liu, Jialan Zheng, Hongjia Yang, Zihan Li, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2024. (Digital Poster)
  25. Label-free Image Quality Assessment of Fetal Brain MRI with Unsupervised Deep Learning
    [Paper]
    Mingxuan Liu, Haoxiang Li, Haibo Qu, Qiyuan Tian*
    Singapore AI Health Summit 2023. (Poster Competition 3rd Place Winner, Top 3%)

Manuscripts Under Review

  1. 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. (Major Revision)
  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
    Radiology: Artificial Intelligence (RAI). 2025. (Under Review)
  3. An incredibly simple real-time method without CNN for red tongue tip classification
    Jingqiao Lu, Mingxuan Liu, Hong Chen*, Chuanchi Wang, Jingqing Hu
    Biomedical Signal Processing and Control (BSPC). 2025. (Major Revision)
  4. Effects of diffusion MRI spatial resolution on human brain short-range association fiber reconstruction and structural connectivity estimation
    Jialan Zheng, Ziyu Li*, Wen Zhong, Ziang Wang, Zihan Li, Hongjia Yang, Mingxuan Liu, Xiaozhi Cao, Congyu Liao, David H. Salat, Susie Y. Huang, Qiyuan Tian*
    Imaging Neuroscience (IMAG). 2025. (Major Revision)
  5. Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model
    Changwei Wu#, Yifei Chen#, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu, Yong Peng, Jin Fan, Feiwei Qin, Changmiao Wang*
    Biomedical Signal Processing and Control (BSPC). 2025. (Major Revision)
  6. MicroKAN: mapping human brain microstructure using diffusion MRI and convolutional Kolmogorov-Arnold Network
    Yifei Chen#, Zihan Li#, Yuanhan Wang, Yijin Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Tolga Cukur, Ziyu Li, Qiyuan Tian*
    Imaging Neuroscience (IMAG). 2025. (Under Review)
  7. SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI
    Yuanhan Wang#, Yifei Chen#, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Jinying Zong, Feiwei Qin, Changmiao Wang, Qiyuan Tian*
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2025. (Under Review)
  8. Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography
    Zihan Li#, Yixiao Xu#, Lei Zhang, Taiyu Han, Xinshan Yang, Yingni Wang, Mingxuan Liu, Shenghai Xin, Linxun Liu, Hongen Liao*, Guochen Ning*
    Science Advance (SA). 2025. (Under Review)

🎖 Honors and Awards

  • [Certificate] 2025 BEIHAI Summit Second Prize of Oral Presentation
          Competition judges: Charlotte Haug, Executive Editor of NEJM AI
  • [Certificate] 2025 National Scholarship, Ministry of Education, P.R. China
          Top scholarship in China. 0.2% domestically.
  • [Certificate] 2025 MICCAI autoPET IV Challenge 1st Place Winner
  • [Certificate] 2025 MICCAI VLM3D Challenge 2nd Place Winner
  • [Certificate] 2025 OHBM Merit Abstract Award (Top 1.6%)
  • [Certificate] 2025 ISMRM Educational Stipend Award
  • [Certificate] 2024 National Scholarship, Ministry of Education, P.R. China
          Top scholarship in China. 0.2% domestically.
  • [Certificate] 2024 First Prize at 9th National Biomedical Engineering Innovation Design Competition for College Students (Top 5%)
          A Deep Learning-Enabled Framework for Anomaly Detection in Fetal Brain MRI
  • [Certificate] 2024 Outstanding Graduate of Beijing
  • [Certificate] 2024 Outstanding Graduate Award (Top 2%), Tsinghua University
  • [Certificate] 2024 ISMRM Magna Cum Laude Merit Award (Top 15%)
  • [Certificate] 2024 Second Prize at the 42nd “Challenge Cup” of Tsinghua University
          Image Deblurring System Driven by Multimodal Data Augmentation
  • [Certificate] 2024 Third Prize at the 42nd “Challenge Cup” of Tsinghua University
          Automated Fetal MRI Image Processing and Anomaly Detection
  • [Certificate] 2024 ISMRM Educational Stipend Award
  • [Certificate] 2024 ICCBD+AI Best Paper Award
  • [Certificate] 2023 Singapore AI Health Summit Poster Competition 3rd Place Winner
          Competition judges: Rupa Sarkar, Editor-in-chief of The Lancet Digital Health; Prof Catherine R Lucey; João Monteiro, Editor-in-chief of Nature Medicine; Pep Pàmies, Editor-in-chief of Nature Biomedical Engineering.
  • [Certificate] 2023 National Scholarship, Ministry of Education, P.R. China (Top 1 in department)
          Top scholarship in China. 0.2% domestically.
  • [Certificate] 2022 Scholarship for Academic Excellence, Tsinghua University
  • [Certificate] 2022 Scholarship for Science and Technology Innovation Excellence, Tsinghua University
  • [Certificate] 2022 Second Prize for Outstanding Projects of the Students Research Training Program, Tsinghua University
          Supported by a National College Student Innovation and Entrepreneurship Project
  • [Certificate] 2020 Scholarship for Academic Excellence, Tsinghua University

📖 Educations

  • 2024.08 - present, PhD student: School of Biomedical Engineering, Tsinghua University, China.
  • 2021.09 - 2024.06, Undergraduate student: School of Biomedical Engineering, Tsinghua University, China.
  • 2019.09 – 2021.08, Undergraduate student: Department of Chemical Engineering, Tsinghua University, China.

🦜 Invited Talks

  • 2025 Tsinghua Academic Path Series #724: Sharing Session with 2025 National Scholarship Awardees from the School of Biomedical Engineering Slides
  • 2025 Beijing-Tsinghua Health AI Summit (Present to Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health) Slides
  • 2025 MICCAI Workshop on Perinatal, Preterm and Paediatric Image Analysis (PIPPI) Slides
  • 2024 Annual Meeting of Radiological Society of North America (RSNA) Slides
  • 2024 ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM) Slides
  • 2023 Singapore AI Health Summit Slides
  • 2023 IEEE International Symposium on Circuits and Systems (ISCAS) Slides
  • 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) Slides

💰 Funding

  • 2023-2024 Beijing Natural Science Foundation Undergraduate “Qiyan” Program
  • 2022-2023 National College Student Innovation and Entrepreneurship Project

🎓 Academic Service

  • Co-organizer of OCSMRM 2024, BEIHAI Summit 2025.
  • Journal Reviewer, EAAI; Neural Networks; Neurocomputing; IEEE TCDS; IEEE TCAS-I; IEEE TCAS-II; IEEE TIP; Applied Intelligence.
  • Conference Reviewer, ACM MobileHCI 2024; AAAI-25 UC; IEEE ISBI 2025; ISMRM 2025; IJCNN 2025; CHIL 2025; MICCAI 2025; ICLR 2025 Workshop (AI4CHL, XAI4Science); ACM MM 2025; NeurIPS 2025; BMVC 2025; ICML Workshop (PUT); AAAI 2026 Workshop (XAI4Science); ICASSP 2026.
  • Teaching Assistant, TIC3: Technological Innovation and Challenges 3, Weixian College, Tsinghua University, 2024.
  • Teaching Assistant, Medical Image Processing (Undergraduate Course, 3 Units), School of Biomedical Engineering, Tsinghua University, 2024, 2025.

🎣 Activities

  • 2025.10.24, Won the BEIHAI Summit Second Prize of Oral Presentation. Photo (Competition judge: Charlotte Haug, Executive Editor of NEJM AI)
  • 2025.10.11, Attended the ISICDM 2025 in Beijing. Photo
  • 2025.09.27, Attended MICCAI 2025 in Daejeon, South Korea; won 2nd place in the MICCAI VLM3D Challenge and 1st place in the autoPET IV Challenge; delivered an oral presentation at the PIPPI Workshop. Photo Photo Photo Photo Photo
  • 2025.09.09, Attended the 2025 Beijing Radiology Quality Control Conference. Photo
  • 2025.07.20, Attended the MICS 2025 in Cixi, Zhejiang. Photo
  • 2025.07.12, Attended the MIDL 2025 in Salt Lake City. Poster 1 Poster 2 Poster 3 Poster 4
  • 2025.06.27, Attended the OHBM 2025 in Brisbane. Photo
  • 2025.05.14, Attended the ISMRM 2025 in Honolulu. Photo
  • 2025.04.24, Attended the ICLR 2025 in Singapore. Photo
  • 2025.02.16, Attended the ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives in Kyoto, Japan. Photo
  • 2024.11.24, Attended the 2024 British Machine Vision Conference (BMVC) in Glasgow, UK. Photo
  • 2024.09.22, Attended the 2024 Annual Meeting of the Neuroimaging Committee of Chinese Psychological Society, held in Nanjing. Photo
  • 2024.07.20, Attended the 9th National Biomedical Engineering Innovation Design Competition for College Students, held in Sanya. Photo
  • 2024.07.14, Attended the Medical Imaging Computing Seminar 2024 (MICS 2024), held in Xiamen. Photo
  • 2024.07.04, Attended the ADVANCED IMAGING AND MICROSCOPY (AIM 2024), held in Huairou District. Photo
  • 2024.05.10, Attended the ISMRM-Endorsed Global Outreach Workshop in Thailand 2024. Photo
  • 2024.05.08, Attended the OCSMRM 2024 as one of the organizers, held in Singapore. Photo
  • 2024.05.07, Attended the ISMRM 2024, held in Singapore. Photo A Photo B
  • 2023.04.17, Attended the ICASSP 2024, held in Seoul. Photo
  • 2023.11.24, Won the top3 Prize in AI Health Summit 2023 Poster Competition. Photo (First row: Competition judges; Left one: Editor-in-chief of The Lancet Digital Health; Left two: Prof Catherine R Lucey; Left three: Editor-in-chief of Nature Medicine; Left four: Editor-in-chief of Nature Biomedical Engineering) Photo (Rupa Sarkar was reading my poster) Photo (3rd Place Winner)
  • 2023.11.24, Top 5 poster competition in AI health summit 2023. Photo
  • 2023.11.22, BIRTHLab members visited Nanyang Technological University. Photo
  • 2023.10.02, Attended the NUS-THU Joint Workshop on Biomedical Engineering 2023, held in Singapore. Photo
  • 2023.07.26, Attended the IEEE ASYNC 2023 held in Beijing, China. Photo

📚 Book Reading

🔗 LINKS

BIRTHLab: The lab for Brain Imaging Research at Tsinghua
Haoxiang Li: School of Biomedical Engineering, Tsinghua University
Jack Tang: Xinya College, Tsinghua University
Yunkang Cao: Huazhong University of Science and Technology
Yiming Huang: Microsoft Research Asia
Siwei Li: Department of Electronic Engineering of Tsinghua University
Yifei Chen: School of Biomedical Engineering, Tsinghua University
Yingqi Hao: School of Biomedical Engineering, Tsinghua University
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