Social contagions on time-varying community networks. - Mian-Xin Liu; Wei Wang 070; Ying Liu 040; Ming Tang 004; Shi-Min Cai; Hai-Feng Zhang 003 (CoRR, 2016)

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)

Predicting reading ability from brain anatomy and function: From areas to connections. - Daniel Kristanto; Mianxin Liu; Xinyang Liu; Werner Sommer; Changsong Zhou (NeuroImage, 2020)

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. - Mianxin Liu; Han Zhang 002; Feng Shi 001; Dinggang Shen (MICCAI (7), 2021)

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 009; Dinggang Shen (ISBI, 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 006; Charlie Androjna; Xin Yu; Dinggang Shen (MICCAI (6), 2022)

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. - Lang Mei; Mianxin Liu; Lingbin Bian; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISGIE/GRAIL@MICCAI, 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 006; Dinggang Shen (MICCAI (5), 2022)

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. - Xiaozhao Liu; Mianxin Liu; Lang Mei; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISBI, 2023)

Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis. - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Dinggang Shen (ISBI, 2023)

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. - Caiwen Jiang; Yongsheng Pan; Mianxin Liu; Lei Ma 006; Xiao Zhang 028; Jiameng Liu; Xiaosong Xiong; Dinggang Shen (MICCAI (1), 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 (MICCAI (4), 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 (MICCAI (8), 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; et al. (MLMI@MICCAI (2), 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 002; Qing Yang; Fei Gao 010; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 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 001; Han Zhang 002; Qian Wang 001; Dinggang Shen (CoRR, 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 008; Yefeng Zheng 001; Lei Ma 006; Guotai Wang; Lixu Gu (IEEE Trans. Medical Imaging, 2023)

Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. - Chaolin Li; Mianxin Liu; Jing Xia; Lang Mei; Qing Yang; Feng Shi 001; Han Zhang 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. - Caiwen Jiang; Tianyu Wang; Xiaodan Xing; Mianxin Liu; Guang Yang 006; Zhongxiang Ding; Dinggang Shen (SASHIMI@MICCAI, 2024)

A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Kaicong Sun; Dinggang Shen (MLCN@MICCAI, 2024)

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. - Lilong Wang; Mianxin Liu; Shaoting Zhang 001; Xiaosong Wang 001 (MICCAI (2), 2024)

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression. - Caiwen Jiang; Xiaodan Xing; Zaixin Ou; Mianxin Liu; Simon Walsh; Guang Yang 006; Dinggang Shen (MLMI@MICCAI (1), 2024)

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. - Mianxin Liu; Weiguo Hu; Jinru Ding; Jie Xu; Xiaoyang Li; Lifeng Zhu; Zhian Bai; Xiaoming Shi; Benyou Wang; Haitao Song 001; Pengfei Liu 003; Xiaofan Zhang 002; et al. (Big Data Min. Anal., 2024)

Cost-effective Instruction Learning for Pathology Vision and Language Analysis. - Kaitao Chen; Mianxin Liu; Fang Yan 002; Lei Ma 006; Xiaoming Shi; Lilong Wang; Xiaosong Wang 001; Lifeng Zhu; Zhe Wang 043; Mu Zhou; Shaoting Zhang 001 (CoRR, 2024)

Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall. - Mianxin Liu; Jianfeng Wu; Fang Yan 002; Hongjun Li; Wei Wang 057; Shaoting Zhang 001; Zhe Wang 043 (CoRR, 2024)

BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI. - Shaohao Rui; Lingzhi Chen; Zhenyu Tang 005; Lilong Wang; Mianxin Liu; Shaoting Zhang 001; Xiaosong Wang 001 (CoRR, 2024)

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms. - Caiwen Jiang; Mianxin Liu; Kaicong Sun; Dinggang Shen (CoRR, 2024)

Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. - Mengjun Liu; Huifeng Zhang; Mianxin Liu; Dongdong Chen 003; Rubai Zhou; Wenxian Lu; Lichi Zhang; Dinggang Shen; Qian Wang 001; Daihui Peng (IEEE Trans. Affect. Comput., 2024)

Structure-Aware Registration Network for Liver DCE-CT Images. - Peng Xue; Jingyang Zhang; Lei Ma 006; Mianxin Liu; Yuning Gu; Jiawei Huang; Feihong Liu; Yongsheng Pan; Xiaohuan Cao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2024)

Randomizing Human Brain Function Representation for Brain Disease Diagnosis. - Mengjun Liu; Huifeng Zhang; Mianxin Liu; Dongdong Chen 003; Zixu Zhuang; Xin Wang 125; Lichi Zhang; Daihui Peng; Qian Wang 001 (IEEE Trans. Medical Imaging, 2024)

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. - Mianxin Liu; Han Zhang 002; Feng Shi 001; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-modal Vision Pre-training for Medical Image Analysis. - Shaohao Rui; Lingzhi Chen; Zhenyu Tang 005; Lilong Wang; Mianxin Liu; Shaoting Zhang 001; Xiaosong Wang 001 (CVPR, 2025)

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks. - Fang Yan 002; Jianfeng Wu; Jiawen Li 005; Wei Wang 057; Jiaxuan Lu; Wen Chen 001; Zizhao Gao; Jianan Li; Hong Yan; Jiabo Ma; Minda Chen; Yang Lu 009; et al. (CoRR, 2025)

Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks. - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Yihui Guan; Qihao Guo; Fang Xie; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs. - Haoran Sun; Yankai Jiang 003; Wenjie Lou; Yujie Zhang; Wenjie Li; Lilong Wang; Mianxin Liu; Lei Liu; Xiaosong Wang 001 (CoRR, 2025)

AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications. - Jiamin Wu; Zichen Ren; Junyu Wang; Pengyu Zhu; Yonghao Song; Mianxin Liu; Qihao Zheng; Lei Bai 001; Wanli Ouyang; Chunfeng Song (CoRR, 2025)

Cost-effective instruction learning for pathology vision and language analysis. - Kaitao Chen; Mianxin Liu; Fang Yan 002; Lei Ma 008; Xiaoming Shi; Lilong Wang; Xiaosong Wang 001; Lifeng Zhu; Zhe Wang 043; Mu Zhou; Shaoting Zhang 001 (Nat. Comput. Sci., 2025)

Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making. - Kaitao Chen; Mianxin Liu; Daoming Zong; Chaoyue Ding; Shaohao Rui; Yankai Jiang 003; Mu Zhou; Xiaosong Wang 001 (CoRR, 2025)