Mianxin Liu

According to our database, Mianxin Liu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Structure-Aware Registration Network for Liver DCE-CT Images.

Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen

IEEE J. Biomed. Health Informatics, April, 2024

2023

Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning.

Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen

IEEE J. Biomed. Health Informatics, November, 2023

S³R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.

Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu

IEEE Trans. Medical Imaging, September, 2023

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.

Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen

CoRR, 2023

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.

Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint.

Tianli Tao, Jiawei Huang, Feihong Liu, Mianxin Liu, Liang-hu Guo, Xinyi Cai, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Lixuan Zhu, Qing Yang, Dinggang Shen, Han Zhang

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner.

Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation.

Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model.

Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis.

Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis.

Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.

Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen

CoRR, 2022

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.

Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis.

Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen

Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

Deep-Learning Based T₁ and T₂ Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.

Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information.

Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis.

Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Predicting reading ability from brain anatomy and function: From areas to connections.

Daniel Kristanto, Mianxin Liu, Xinyang Liu, Werner Sommer, Changsong Zhou

NeuroImage, 2020

2019

Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity.

Mianxin Liu, Chenchen Song, Yuqi Liang, Thomas Knöpfel, Changsong Zhou

NeuroImage, 2019