Iโm senior undergraduate student from School of Biomedical Engineering, Tsinghua University. My research interest includes anomaly detection, spiking neural networks, medical imaging.
I am very fortunate to be advised by Prof. Qiyuan Tian of Birth Lab from School of Biomedical Engineering, Tsinghua University. I was advised by Prof. Hong Chen from School of Integrated Circuits, Tsinghua University.
You can find my CV here: Mingxuan Liuโs Curriculum Vitae.
Other related links: Github / Wechat / Google scholar / Semantic scholar.
๐ฅ News
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: ๐๐ Awarded 2024 ISMRM Magna Cum Laude Merit Award (Top 15%)!
2024.04.18: ๐๐ 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: ๐๐ Awarded Educational Stipend Award by 2024 ISMRM!
2024.01.26: ๐๐ Our paper addressed Fetal MRI image quality assessment has been accepted by ISMRM 2024 as oral power pitch (top 13%).
2024.01.26: ๐๐ Our paper addressed Fetal cortex reconstruction has been accepted by ISMRM 2024.
2023.12.12: ๐๐ Our paper addressed Image deblurring has been accepted by IEEE ICASSP 2024.
2023.11.24: ๐๐ 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: ๐๐ Our abstract addressed Fetal MRI image quality assessment has been accepted by AI Health Summit 2023
2023.10.15: ๐๐ Awarded National Scholarship by Ministry of Education!
2023.10.2: Attended the NUS-THU Joint Workshop on Biomedical Engineering 2023 hosted by the National University of Singapore and posted a poster.
2023.7.16: Attended the IEEE ASYNC 2023 held in Beijing, China.
2023.5.21: ๐๐ Our paper addressed Tooth-Marked Tongue Classification has been accepted by IEEE ISCAS 2023.
2023.5.21: ๐๐ Our paper addressed Unsupervised Medical Image Anomaly Detection has been accepted by IEEE ISCAS 2023.
๐ Publications
JOURNAL PUBLICATIONS
Anomaly Detection for Medical Images Using Teacher-Student Model with Skip Connections and Multi-scale Anomaly Consistency
Mingxuan Liu, Yunrui Jiao, Jingqiao Lu, Hong Chen
IEEE Transactions on Instrumentation and Measurement, Accept
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Mingxuan Liu*, Jiankai Tang* (*Co-first Author), Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Yuntao Wang, Hong Chen
Neural Networks, Revise
CONFERENCE PUBLICATIONS
Spike-SLR: An Energy-efficient Parallel Spiking Transformer for Event-based Sign Language Recognition
Xinxu Lin*, Mingxuan Liu*(*Co-first Author), Kezhuo Liu, Hong Chen
Submitted to The British Machine Vision Conference (BMVC) 2024
Detecting Fetal Germinal Matrix and Intraventricular Hemorrhage in Brain MRI Using Label-free Deep Learning
Mingxuan Liu, Haoxiang Li, Juncheng Zhu, Jialan Zheng, Hongjia Yang, Zihan Li, Ziyu Li, Qiyuan Tian
Submitted to Annual Meeting of Radiological Society of North America (RSNA) 2024
Image Quality Assessment using an Orientation Recognition Network for Fetal MRI
Mingxuan Liu, Haoxiang Li, Zihan Li, Hongjia Yang, Jialan Zheng, Xiao Zhang, Qiyuan Tian
2024 ISMRM & ISMRT Annual Meeting & Exhibition (Oral Power Pitch, Magna Cum Laude Merit Award)
FetalSurfer: an automated fetal cortex reconstruction method to study complex development of fetal brain using AI segmentation
Haoxiang Li, Mingxuan Liu, Jialan Zheng, Hongjia Yang, Zihan Li, Qiyuan Tian
2024 ISMRM & ISMRT Annual Meeting & Exhibition (Digital Poster)
SAM-Deblur: Let Segment Anything Boost Image Deblurring
Siwei Li*, Mingxuan Liu* (*Co-first Author), Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen, Zifei Dou
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Poster)
Label-free Image Quality Assessment of Fetal Brain MRI with Unsupervised Deep Learning
Mingxuan Liu, Haoxiang Li, Haibo Qu, Qiyuan Tian
AI Health Summit 2023. (Top3 prize)
Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections
Mingxuan Liu, Yunrui Jiao, Hong Chen
2023 IEEE International Symposium on Circuits and Systems (ISCAS) (Oral Presentation)
PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification
Jingqiao Lu, Mingxuan Liu, Hong Chen
2023 IEEE International Symposium on Circuits and Systems (ISCAS) (Poster)
Data Augmentation Using Image-to-image Translation for Tongue Coating Thickness Classification with Imbalanced Data
Mingxuan Liu, Yunrui Jiao, Hongyu Gu, Jingqiao Lu, Hong Chen
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (Oral Presentation)
PREPRINT PUBLICATIONS
๐ Honors and Awards
- 2024 2024 ISMRM Magna Cum Laude Merit Award (Top 15%)
- 2024 2024 ISMRM: Educational Stipend Award
- 2023 Top3 Prize in Al Health Summit 2023 Poster Competition, Singapore
- 2023 National Scholarship, Ministry of Education, P.R. China (Top 1 in department)
ย ย ย Top scholarship in China. 0.2% domestically. - 2022 Scholarship for Academic Excellence, Tsinghua University
- 2022 Scholarship for Science and Technology Innovation Excellence, Tsinghua University
- 2022 Second Prize for Outstanding Projects of the Students Research Training Program, Tsinghua University
ย ย ย Supported by a National College Student Innovation and Entrepreneurship Project - 2020 Scholarship for Academic Excellence, Tsinghua University
๐ Educations
- 2021.09 - present, School of Biomedical Engineering, Tsinghua University, China.
- 2019.09 โ 2021.08, Department of Chemical Engineering, Tsinghua University, China.
๐ Academic Service
- As one of the organizers of OCSMRM 2024
๐ฃ Activities
- 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
๐ Social Event
- 2024.05.02, Visited the Tientsin Eye (ๅคฉๆดฅไน็ผ) with my girlfriend, in Tianjing. Photo
- 2024.03.20, Watched the stage play โCount Wulong Mountainโ (ใไน้พๅฑฑไผฏ็ตใ) at the Happy Twist Theater (ๅผๅฟ้บป่ฑๅงๅบ) with my girlfriend, in Beijing. Photo
- 2024.03.19, Visited the Happy Valley Beijing (ๆฌขไน่ฐท) with my girlfriend, in Beijing. Photo A Photo B
- 2024.02.28, Visited the Juzizhou Island (ๆฉๅญๆดฒ) with my girlfriend, in Changsha. Photo
- 2023.10.22, Visited the National Museum of China (ๅฝๅฎถๅ็ฉ้ฆ) with my girlfriend, in Beijing. Photo
- 2023.06.14, Visited the Yuewang Pavilion (ๅฒณ็ไบญ) with my girlfriend, in Changsha. Photo
๐ LINKS
BIRTHLab: The lab for Brain Imaging Research at Tsinghua
Haoxiang Li: Department of Biomedical Engineering, Tsinghua University
Jack Tang: Xinya College, Tsinghua University
Yunkang Cao: Huazhong University of Science and Technology
Xiao Zhang: Department of Biomedical Engineering, Tsinghua University
Yiming Huang: Microsoft Research Asia
Siwei Li: Department of Electronic Engineering of Tsinghua University