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Haibo Liao

Showing results (1-10 of 4) with videos related to

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European Radiology|November 27, 2013
Using R2* values to evaluate brain tumours on magnetic resonance imaging: preliminary resultsZhenghua Liu, Haibo Liao, Jianhua Yin, et al.
Briefings in Bioinformatics|April 1, 2024
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretabilityZhanyu Xu, Haibo Liao, Liuliu Huang, et al.
Briefings in Bioinformatics|April 28, 2024
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discoveryWei Lan, Haibo Liao, Qingfeng Chen, et al.
Fundamental Research|February 6, 2026
MULGONET: An interpretable neural network framework to integrate multi-omics data for cancer recurrence prediction and biomarker discoveryWei Lan, Zhentao Tang, Haibo Liao, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
European Radiology|November 27, 2013
Using R2* values to evaluate brain tumours on magnetic resonance imaging: preliminary resultsZhenghua Liu, Haibo Liao, Jianhua Yin, et al.
Briefings in Bioinformatics|April 1, 2024
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretabilityZhanyu Xu, Haibo Liao, Liuliu Huang, et al.
Briefings in Bioinformatics|April 28, 2024
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discoveryWei Lan, Haibo Liao, Qingfeng Chen, et al.
Fundamental Research|February 6, 2026
MULGONET: An interpretable neural network framework to integrate multi-omics data for cancer recurrence prediction and biomarker discoveryWei Lan, Zhentao Tang, Haibo Liao, et al.
Pageof 1