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ORCIDMianxin Liu
Person information
- affiliation: Shanghai Artificial Intelligence Laboratory, Shanghai, China
- affiliation: ShanghaiTech University, School of Biomedical Engineering, Shanghai, China
- affiliation: Hong Kong Baptist University, Institute of Computational and Theoretical Studies, Kowloon Tong, Hong Kong
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2020 – today
- 2024
[j8]Mengjun Liu
, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Rubai Zhou, Wenxian Lu, Lichi Zhang, Dinggang Shen, Qian Wang, Daihui Peng:
Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. IEEE Trans. Affect. Comput. 15(3): 1826-1837 (2024)- [j7]Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-Aware Registration Network for Liver DCE-CT Images. IEEE J. Biomed. Health Informatics 28(4): 2163-2174 (2024) - [j6]Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Zixu Zhuang, Xin Wang, Lichi Zhang, Daihui Peng, Qian Wang:
Randomizing Human Brain Function Representation for Brain Disease Diagnosis. IEEE Trans. Medical Imaging 43(7): 2537-2546 (2024) - [j5]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15182-15194 (2024) - [c15]Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. MICCAI (2) 2024: 45-55 - [c14]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. SASHIMI@MICCAI 2024: 58-68 - [c13]Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. MLMI@MICCAI (1) 2024: 83-93 - [i12]Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang:
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. CoRR abs/2407.10990 (2024) - [i11]Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang:
Cost-effective Instruction Learning for Pathology Vision and Language Analysis. CoRR abs/2407.17734 (2024) - [i10]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Kaicong Sun, Dinggang Shen:
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. CoRR abs/2407.18466 (2024) - [i9]Caiwen Jiang, Xiaodan Xing, Zaixin Ou, Mianxin Liu, Simon Walsh, Guang Yang, Dinggang Shen:
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. CoRR abs/2408.00938 (2024) - [i8]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage. CoRR abs/2408.00940 (2024) - [i7]Mianxin Liu, Jianfeng Wu, Fang Yan, Hongjun Li, Wei Wang, Shaoting Zhang, Zhe Wang:
Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall. CoRR abs/2409.15291 (2024) - [i6]Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI. CoRR abs/2410.10604 (2024) - 2023
- [j4]Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen:
Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE J. Biomed. Health Informatics 27(11): 5430-5438 (2023) - [j3]Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu:
S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Trans. Medical Imaging 42(9): 2539-2551 (2023) - [c12]Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. ISBI 2023: 1-5 - [c11]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis. ISBI 2023: 1-5 - [c10]Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen:
PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. MICCAI (1) 2023: 3-12 - [c9]Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen:
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. MICCAI (4) 2023: 56-66 - [c8]Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. MICCAI (8) 2023: 99-108 - [c7]Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen:
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) 2023: 84-93 - [c6]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:
Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint. MLMI@MICCAI (2) 2023: 467-475 - [i5]Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen:
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. CoRR abs/2302.11871 (2023) - [i4]Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-aware registration network for liver DCE-CT images. CoRR abs/2303.04595 (2023) - 2022
- [c5]Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen:
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. ISBI 2022: 1-5 - [c4]Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI 2022: 69-78 - [c3]Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen:
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites. MICCAI (5) 2022: 380-390 - [c2]Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen:
Deep-Learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals. MICCAI (6) 2022: 432-441 - [i3]Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen:
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites. CoRR abs/2206.06813 (2022) - [i2]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. CoRR abs/2209.11232 (2022) - 2021
- [c1]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. MICCAI (7) 2021: 574-583 - 2020
- [j2]Daniel Kristanto, Mianxin Liu, Xinyang Liu, Werner Sommer, Changsong Zhou:
Predicting reading ability from brain anatomy and function: From areas to connections. NeuroImage 218: 116966 (2020)
2010 – 2019
- 2019
- [j1]Mianxin Liu, Chenchen Song, Yuqi Liang, Thomas Knöpfel, Changsong Zhou:
Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity. NeuroImage 198: 198-220 (2019) - 2016
- [i1]Mian-Xin Liu, Wei Wang, Ying Liu, Ming Tang, Shi-Min Cai, Hai-Feng Zhang:
Social contagions on time-varying community networks. CoRR abs/1605.04557 (2016)
Coauthor Index
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