I’m First-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.

My previous profile in Chinese.

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

🔥 News

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 Al 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]
   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. Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography using Weakly Supervised Deep Learning from Free-text Radiology Report
   [Paper]
   Xuguang Bai#, Mingxuan Liu#, Yifei Chen, Hongjia Yang, Qiyuan Tian*
   Medical Imaging with Deep Learning (MIDL). 2025. (Poster)
2. FetalCSR: Multi-input Attention Fusion Network for Neural ODE-based Fetal Cortical Surface Reconstruction
   [Paper]
   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)
3. 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)
4. 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)
5. 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)
6. Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections
   [Paper]
   Mingxuan Liu, Yunrui Jiao, Hong Chen*
   IEEE International Symposium on Circuits and Systems (ISCAS). 2023. (Oral Paper Presentation)
7. 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)
8. 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 ABSTRACTS

1. Unsupervised Fetal Brain MRI Quality Assessment based on Orientation Prediction Uncertainty
   Mingxuan Liu, Haoxiang Li, Zihan Li, Hongjia Yang, Jialan Zheng, Haibo Qu, Qiyuan Tian*
   [Paper]
   OHBM Annual Meeting (OHBM). 2025. (Poster)
2. 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)
3. Volume Reconstruction from Single MRI Thick-slice Stack with Deep Learning for Fetal Brain
   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)
4. FreeHemoSeg: Label-Free Deep Learning Framework for Automated Segmentation of Fetal Brain Germinal Matrix and Intraventricular Hemorrhage
   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)
5. FetalSR: Super-resolving High-isotropic-resolution Image Volume from Single Thick-slice Stack with Deep Learning for Fetal Brain Morphometry
   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)
6. CortexKAN: Multi-input KAN for fetal cortical surface reconstruction
   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)
7. FetalSFUDA: Source-Free Unsupervised Domain Adaptation for Fetal Brain Extraction from Different Centers or MRI Sequences
   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)
8. Negative Impacts of Germinal Matrix-Ventricular Hemorrhage on Prenatal and Postnatal Brain Development
   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)
9. DiffKAN: Convolutional Kolmogorov-Arnold Networks for Improved Diffusion MRI Microstructural Modeling
   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)
10. DeepEddy: high-quality fast eddy current and bulk motion correction using deep learning-based image synthesis and co-registration
    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)
11. DIMOND++: Improving diffusion model optimization using diffusion priors
    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)
12. High-fidelity Ultra-fast Diffusion Tensor Imaging in Stroke Patients Using Transfer Learning
    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)
13. Impacts of diffusion MRI spatial resolution on the short-range association fiber reconstruction and connectivity estimation
    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)
14. 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)
15. 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)
16. 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)
17. 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)
18. 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)
19. 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)
20. 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%)
21. 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)
22. Label-free Image Quality Assessment of Fetal Brain MRI with Unsupervised Deep Learning
    [Paper]
    Mingxuan Liu, Haoxiang Li, Haibo Qu, Qiyuan Tian*
    AI Health Summit. 2023. (Top3 prize, Top 3%)

🎖 Honors and Awards

• [Certificate] 2025 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 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 2024 ISMRM: Educational Stipend Award
• [Certificate] 2024 2024 ICCBD+AI Best Paper Award
• [Certificate] 2023 Top3 Prize in Al Health Summit 2023 Poster Competition, Singapore
• [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

• 2024 2024 ISMRM & ISMRT Annual Meeting & Exhibition
• 2023 AI Health Summit 2023
• 2023 2023 IEEE International Symposium on Circuits and Systems
• 2022 2022 IEEE Biomedical Circuits and Systems Conference

💰 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
• Journal Reviewer, 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).

🎣 Activities

• 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 Al 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)
• 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

💌 Social Event

• 2024.11.11, Visited the Universal Beijing Resort (环球影城) with my girlfriend. Photo
• 2024.11.08, Visited the Forbidden City (故宫) with my girlfriend, in Beijing. Photo
• 2024.09.17, Celebrating the Moon Festival at Huazhong University of Science and Technology (HUST) with my girlfriend, in Wuhan. Photo
• 2024.07.26, 🎂 Celebrating girlfriend’s birthday 🎂. Photo
• 2024.06.28, Graduated with a bachelor’s degree from Tsinghua University. Photo
• 2024.05.02, Visited the Tientsin Eye (天津之眼) with my girlfriend, in Tianjing. Photo
• 2024.03.20, Watched the stage play “Count Wulong Mountain” (《乌龙山伯爵》) at the Happy Twist Theater (开心麻花剧场) with my girlfriend, in Beijing. Photo
• 2024.03.19, Visited the Happy Valley Beijing (欢乐谷) with my girlfriend, in Beijing. Photo A Photo B
• 2024.02.28, Visited the Juzizhou Island (橘子洲) with my girlfriend, in Changsha. Photo
• 2023.10.22, Visited the National Museum of China (国家博物馆) with my girlfriend, in Beijing. Photo
• 2023.06.14, Visited the Yuewang Pavilion (岳王亭) with my girlfriend, in Changsha. Photo

🫶 Other

• [Certificate] 2024 United Nations Children’s Fund (unicef) Second Anniversary Commemorative Certificate
• [Certificate] 2023 United Nations Children’s Fund (unicef) First Anniversary Commemorative Certificate

🔗 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