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Muheng Shang

Showing results (1-10 of 8) with videos related to

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Bioinformatics (Oxford, England)|December 10, 2024
Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning methodDuo Xi, Minjianan Zhang, Muheng Shang, et al.
IEEE Transactions on Medical Imaging|October 17, 2023
Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging PhenotypesLei Du, Ying Zhao, Jianting Zhang, et al.
Briefings in Bioinformatics|April 21, 2025
Mutual-assistance learning for trustworthy biomarker discovery and disease predictionJin Zhang, Yan Yang, Muheng Shang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2023
A Multi-Task Deep Feature Selection Method for Brain Imaging GeneticsChenglin Yu, Shu Zhang, Muheng Shang, et al.
Bioinformatics (Oxford, England)|July 15, 2025
Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approachJin Zhang, Yan Yang, Muheng Shang, et al.
IEEE Transactions on Medical Imaging|September 15, 2025
Towards Trustworthy Multi-View Representation with Fine-Grained Explainability EmbeddingsJin Zhang, Yan Yang, Muheng Shang, et al.
Genomics, Proteomics & Bioinformatics|July 13, 2023
inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging GeneticsLei Du, Jin Zhang, Ying Zhao, et al.
Computational and Structural Biotechnology Journal|September 19, 2024
Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statisticsDuo Xi, Dingnan Cui, Mingjianan Zhang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|December 10, 2024
Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning methodDuo Xi, Minjianan Zhang, Muheng Shang, et al.
IEEE Transactions on Medical Imaging|October 17, 2023
Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging PhenotypesLei Du, Ying Zhao, Jianting Zhang, et al.
Briefings in Bioinformatics|April 21, 2025
Mutual-assistance learning for trustworthy biomarker discovery and disease predictionJin Zhang, Yan Yang, Muheng Shang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2023
A Multi-Task Deep Feature Selection Method for Brain Imaging GeneticsChenglin Yu, Shu Zhang, Muheng Shang, et al.
Bioinformatics (Oxford, England)|July 15, 2025
Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approachJin Zhang, Yan Yang, Muheng Shang, et al.
IEEE Transactions on Medical Imaging|September 15, 2025
Towards Trustworthy Multi-View Representation with Fine-Grained Explainability EmbeddingsJin Zhang, Yan Yang, Muheng Shang, et al.
Genomics, Proteomics & Bioinformatics|July 13, 2023
inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging GeneticsLei Du, Jin Zhang, Ying Zhao, et al.
Computational and Structural Biotechnology Journal|September 19, 2024
Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statisticsDuo Xi, Dingnan Cui, Mingjianan Zhang, et al.
Pageof 1