Mingxuan Liu

According to our database, Mingxuan Liu authored at least 26 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards Reliable Fetal Ultrasound Interpretation with Multi-Agent Collaboration.

Xiaotian Hu, Mingxuan Liu, Junwei Huang, Kasidit Anmahapong, Yifei Chen, Yiming Huang, Xuguang Bai, Zihan Li, Hongjia Yang, Yingqi Hao, Hong Xu, Yu Jiang, Tian Tian, Yi Liao, Haibo Qu, Qiyuan Tian

CoRR, May, 2026

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT.

Shuo Jiang, Yuhao Hong, Chunbo Jiang, Weihong Chen, Huangwei Chen, Shenghao Zhu, Beining Wu, Mingxuan Liu, Zhu Zhu, Feiwei Qin, Min Tan, Yifei Chen

CoRR, May, 2026

R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound.

Yuanhan Wang, Yifei Chen, Beining Wu, Mingxuan Liu, Xiaotian Hu, Chunbo Jiang, Yijin Li, Changmiao Wang, Feiwei Qin, Qiyuan Tian

CoRR, May, 2026

INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRI.

Xiaotian Hu, Mingxuan Liu, Hongjia Yang, Juncheng Zhu, Yijin Li, Yifei Chen, Haoxiang Li, Tongxi Song, Zihan Li, Yingqi Hao, Ziyu Li, Yujin Zhang, Gang Ning, Yi Liao, Haibo Qu, Qiyuan Tian

CoRR, May, 2026

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI.

Mingxuan Liu, Yingqi Hao, Yi Liao, Juncheng Zhu, Haoxiang Li, Hongjia Yang, Yifei Chen, Yijin Li, Kasidit Anmahapong, Zihan Li, Jialan Zheng, Min Kang, Yan Song, Hua Lai, Xiaoling Zhou, Nan Sun, Rong Hu, Gang Ning, Haibo Qu, Qiyuan Tian

CoRR, May, 2026

EXACT: an explainable anomaly-aware vision foundation model for analysis of 3D chest CT.

Xuguang Bai, Mingxuan Liu, Tongxi Song, Yifei Chen, Hongjia Yang, Kasidit Anmahapong, Zihan Li, Ying Zhou, Qiyuan Tian

CoRR, April, 2026

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis.

Xiaotian Hu, Junwei Huang, Mingxuan Liu, Kasidit Anmahapong, Yifei Chen, Yitong Luo, Yiming Huang, Xuguang Bai, Zihan Li, Yi Liao, Haibo Qu, Qiyuan Tian

CoRR, March, 2026

MicroKAN: Mapping human brain microstructure using diffusion MRI and adaptive nonlinear modeling.

Yifei Chen, Zihan Li, Yuanhan Wang, Yijin Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, Tolga Çukur, Qiuyun Fan, Ziyu Li, Jie Lu, Qiyuan Tian

NeuroImage, 2026

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 Anal., 2026

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, Feiwei Qin, Yong Peng, Jin Fan, Chaomiao Wang

Biomed. Signal Process. Control., 2026

2025

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

CoRR, December, 2025

A Large Scale Benchmark for Test Time Adaptation Methods 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

CoRR, December, 2025

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

CoRR, September, 2025

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

CoRR, June, 2025

Spiking-PhysFormer: Camera-based remote photoplethysmography with parallel spike-driven transformer.

Mingxuan Liu, Jiankai Tang, Yongli Chen, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Jie Gan, Yuntao Wang, Hong Chen

Neural Networks, 2025

FetalExtract-LLM: Structured Information Extraction from Free-Text Fetal MRI Reports Based on Privacy-Ensuring Open-Weights Large Language Models.

Mingxuan Liu, Yijin Li, Juncheng Zhu, Hongjia Yang, Yiming Huang, Haoxiang Li, Yifei Chen, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

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, Beining Wu, Shenghao Zhu, Feiwei Qin, Jin Fan, Changmiao Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Anomaly Detection for Medical Images Using Teacher-Student Model With Skip Connections and Multiscale Anomaly Consistency.

Mingxuan Liu, Yunrui Jiao, Jingqiao Lu, Hong Chen

IEEE Trans. Instrum. Meas., 2024

Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer.

Mingxuan Liu, Jiankai Tang, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Yuntao Wang, Hong Chen

CoRR, 2024

SAM-DEBLUR: Let Segment Anything Boost Image Deblurring.

Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Zifei Dou, Hong Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Spike-SLR: An Energy-efficient Parallel Spiking Transformer for Event-based Sign Language Recognition.

Xinxu Lin, Mingxuan Liu, Kezhuo Liu, Hong Chen

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks.

Mingxuan Liu, Rui Wen, Hong Chen

CoRR, 2023

PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification.

Jingqiao Lu, Mingxuan Liu, Hong Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections.

Mingxuan Liu, Yunrui Jiao, Hong Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

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

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022