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

📝 Publications

# co-first author | * corresponding author

JOURNAL PAPERS

1. Effects of diffusion MRI spatial resolution on human brain short-range association fiber reconstruction and structural connectivity estimation
   [Paper]
   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). 2026.
2. 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.
3. 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 Workshop on AI for Children (AI4CHL). 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. Artificial Intelligence-based Myopia Prediction in Children and Adolescents
   Ying Wu, Yitong Zhang, Mingxuan Liu, Lijun Zhang, Qiyuan Tian*
   Asia-Pacific Academy of Ophthalmology Congress (APAO). 2026. (Poster)
2. 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)
3. 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)
4. 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)
5. 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 Award, Top 1.6%)
6. 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)
7. 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)
8. 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)
9. 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%)
10. 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)
11. 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)
12. 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%)
13. 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)
14. 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%)
15. 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%)
16. 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)
17. 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)
18. 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)
19. 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)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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%)
25. 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)
26. 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. Unsupervised detection of fetal brain anomaly in MRI via patch-based age prediction using deep learning
   Yingqi Hao#, Mingxuan Liu#, Juncheng Zhu#, Hongjia Yang, Haoxiang Li, Yi Liao, Haibo Qu*, Qiyuan Tian*
   npj Digital Medicine (NPJ DIGIT MED). 2025. (Under Review)
3. AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI
   Changwei Wu#, Yifei Chen#, Yuxin Du, Mingxuan Liu, Jinying Zong, Beining Wu, Jie Dong, Feiwei Qin*, Yunkang Cao, Qiyuan Tian*
   Medical Image Analysis (MIA). 2025. (Under Review)
4. A Large Scale Benchmark for Test Time Adaptation in Medical Image Segmentation
   Wenjing Yu#, Shuo Jiang#, Yifei Chen#, Shuo Chang, Yuanhan Wang, Beining Wu, Jie Dong, Mingxuan Liu, Shenghao Zhu, Feiwei Qin*, Changmiao Wang, Qiyuan Tian*
   Medical Image Analysis (MIA). 2025. (Under Review)
5. 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)
6. 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)
7. 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*
   NeuroImage (NIMG). 2025. (Under Review)
8. 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)
9. Democratizing expert-level liver sonography through an autonomous lightweight ultrasound robot
   Zihan Li#, Yixiao Xu#, Lei Zhang, Taiyu Han, Xinshan Yang, Yingni Wang, Mingxuan Liu, Shenghai Xin, Linxun Liu, Hongen Liao*, Guochen Ning*
   Nature Biomedical Engineering (NBME). 2025. (Under Review)
10. Cortical Brain in Utero Growth Among Fetuses with Germinal Matrix and Intraventricular Hemorrhage (GMH-IVH)
    Mingxuan Liu, Haoxiang Li, Hongjia Yang, Yi Liao, Juncheng Zhu, Jialan Zheng, Yingqi Hao1, Zihan Li, Ziyu Li, Ziang Wang, Yijin Li, Junwei Huang, Gang Ning, Haibo Qu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
11. Test-time optimization for cortical surface reconstruction across image resolutions/contrasts using untrained neural networks
    Haoxiang Li, Mingxuan Liu, Divya Varadarajan, Zhangxuan Hu, Qiyuan Tian, Jonathan Polimeni*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
12. Improving the Accuracy of Fetal Brain Age Prediction Using Neural Network Attribution Maps
    Hongjia Yang, Mingxuan Liu, Yi Liao, Muye Zhang, Juncheng Zhu, Haoxiang Li, Fenglin Jia, Zihan Li, Yijin Li, Junwei Huang, Ziang Wang, Ziyu Li, Haibo Qu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
13. BioTTA: Maximizing Domain Generalization in Automatic Fetal Brain Biometry with Test-Time Adaptation
    Yijin Li, Mingxuan Liu, Hongjia Yang, Xiaotian Hu, Yi Liao, Kasidit Anmahapong, Ziang Wang, Juncheng Zhu, Yingqi Hao, Yifei Chen, Haoxiang Li, Ziyu Li, Fenglin Jia, Haibo Qu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
14. 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, Junwei Huang, Yi Liao, Haibo Qu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
15. Multi-Organ Volumetric Growth Trajectories in Fetuses with Hydronephrosis
    Junwei Huang, Kasidit Anmahapong, Haoxiang Li, Mingxuan Liu, Juncheng Zhu, Hongjia Yang, Yijin Li, Yingqi Hao, Fenglin Jia, Yi Liao, Haibo Qu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
16. AlignPET: Structure-Aligned MRI-to-PET Synthesis via Variational Autoregression Model for Ischemic Brain Lesions
    Yifei Chen, Guanyu Zhou, Yuanhan Wang, Mingxuan Liu, Xuguang Bai, Jialan Zheng, Bixiao Cui, Jie Lu, Qiyuan Tian*
    ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM). 2026. (Under Review)
17. Prognostic Al Model for Myopia in Children & Adolescents Using Real-World intervention Data: A 7-Center Study
    Ying Wu, Yitong Zhang, Mingxuan Liu, Lijun Zhang, Qiyuan Tian*
    World Ophthalmology Congress (WOC). 2026. (Under Review)

🎖 Honors and Awards

• [Certificate] 2025 Invited Student Speaker Award
        The 2nd Graduate Academic Forum (School of Biomedical Engineering & School of Clinical Medicine, Tsinghua University)
• [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 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 IEEE 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 The 2nd Graduate Academic Forum (School of Biomedical Engineering & School of Clinical Medicine, Tsinghua University) 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, Engineering Applications of Artificial Intelligence; Neural Networks; Neurocomputing; IEEE Transactions on Cognitive and Developmental Systems; Applied Intelligence; Biomedical Signal Processing and Control.
• Conference Reviewer, ACM MobileHCI 2024; AAAI 2025; IEEE ISBI 2025/2026; ISMRM 2025/2026; IJCNN 2025; CHIL 2025; MICCAI 2025; ICLR 2025 Workshop (AI4CHL, XAI4Science); ACM MM 2025; NeurIPS 2025; BMVC 2025; ICML 2025 Workshop (PUT); AAAI 2026 Workshop (XAI4Science); ICASSP 2026, MIDL 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

• 2025.11.22, Attended the 2nd Graduate Academic Forum (School of Biomedical Engineering & School of Clinical Medicine, Tsinghua University) and awarded Invited Student Speaker Award. Photo Photo
• 2025.11.15, Attended the CHINESE CONGRESS OF RADIOLOGY (CCR) 2025 in Changsha. Photo
• 2025.11.06, Attended the symposium on Recent Advances in Artificial Intelligence-Driven Magnetic Resonance Technology (CASFIS) in Hong Kong. Photo Photo
• 2025.10.24, Attended BEIHAI Summit and won the Second Prize of Oral Presentation. Photo Photo (Competition judge: Charlotte Haug, Executive Editor of NEJM AI)
• 2025.10.22, 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
• 2025.09.27, 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

• 2025.05.01 – 2025.05.31, The House on the Borderland by William Hope Hodgson. Book
• 2025.05.31 – 2025.06.05, Flatland: A Romance of Many Dimensions by Edwin Abbott. Book
• 2025.06.05 - 2025.07.26, Holy Mother by Rikako Akiyoshi. Book
• 2025.07.26 - 2025.08.03, Black Cairn Point by Claire McFall. Book
• 2025.08.03 - 2025.08.21, House of Leaves by Mark Z. Danielewski. Book
• 2025.08.03 - 2025.08.21, Complete Self Help for Your Nerves by Claire Weekes. Book
• 2025.08.03 - 2025.08.21, Record of the conversation between the deceased and the forensic expert by Ranzhi Chen. Book
• 2025.08.21 - 2025.09.11, Before I Go to Sleep by S.J.Watson. Book
• 2025.11.25 - 2025.11.30, The Man in the Mirror by Geoffrey A. Landis. Book
• 2025.12.01 - 2025.12.03, The Builders by Daniel Polansky. Book

🔗 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