Mianxin Liu
Orcid: 0000-0001-5171-778XAffiliations:
- Shanghai Artificial Intelligence Laboratory, Shanghai, China
- ShanghaiTech University, School of Biomedical Engineering, Shanghai, China
- Hong Kong Baptist University, Institute of Computational and Theoretical Studies, Kowloon Tong, Hong Kong
According to our database1,
Mianxin Liu
authored at least 31 papers
between 2016 and 2024.
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Bibliography
2024
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
IEEE Trans. Medical Imaging, July, 2024
IEEE J. Biomed. Health Informatics, April, 2024
Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification.
IEEE Trans. Affect. Comput., 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.
CoRR, 2024
BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI.
CoRR, 2024
Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall.
CoRR, 2024
CoRR, 2024
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models.
CoRR, 2024
CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024
2023
IEEE J. Biomed. Health Informatics, November, 2023
S<sup>3</sup>R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.
IEEE Trans. Medical Imaging, September, 2023
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.
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.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.
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.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Deep-Learning Based T<sub>1</sub> and T<sub>2</sub> Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.
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.
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.
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.
NeuroImage, 2020
2019
Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity.
NeuroImage, 2019
2016