Muheng Shang

Orcid: 0000-0002-9227-7263

According to our database1, Muheng Shang authored at least 19 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
Toward Trustworthy Multi-View Representation With Fine-Grained Explainability Embeddings.
IEEE Trans. Medical Imaging, February, 2026

2025
Mutual-assistance learning for trustworthy biomarker discovery and disease prediction.
Briefings Bioinform., March, 2025

Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning method.
Bioinform., 2025

Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach.
Bioinform., 2025

Predicting MCI Conversion Status Using Baseline Neuroimaging Scans and Genetics Variations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Data-Driven Brain Imaging Quantitative Trait Mediation Effect Identification Method for Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Predicting Brain Age Based on Neuroimaging and DNA Methylation via A Multiomics Attention-Based Variational Autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging Phenotypes.
IEEE Trans. Medical Imaging, March, 2024

A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Identification of disease-related genetic variants and imaging factors leveraging summary statistics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023
inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging Genetics.
Genom. Proteom. Bioinform., April, 2023

Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary Statistics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022


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