Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI

Zhang, Xiatian; Zheng, Sisi; Shum, Hubert P.H.; Zhang, Haozheng; Song, Nan; Song, Mingkang; Jia, Hongxiao

doi:10.1007/978-981-99-8138-0_24

All Outputs (1)

Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI (2023)
Presentation / Conference Contribution
Zhang, X., Zheng, S., Shum, H. P., Zhang, H., Song, N., Song, M., & Jia, H. (2023, November). Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI. Presented at ICONIP 2023: 2023 International Conference on Neural Information Processing, Changsha, China

Resting-state fMRI (rs-fMRI) functional connectivity (FC)
analysis provides valuable insights into the relationships between different brain regions and their potential implications for neurological or psychiatric disorders. However, specific design... Read More about Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI.