8 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning
Biao Cai, Gemeng Zhang, Aiying Zhang +6
The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the con…
Causal inference of brain connectivity from fMRI with -Learning Incorporated Linear non-Gaussian Acyclic Model (-LiNGAM)
Aiying Zhang, Gemeng Zhang, Biao Cai +6
Functional connectivity (FC) has become a primary means of understanding brain functions by identifying brain network interactions and, ultimately, how those interactions produce c…
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Wenxing Hu, Xianghe Meng, Yuntong Bai +7
Multimodal fusion benefits disease diagnosis by providing a more comprehensive perspective. Developing algorithms is challenging due to data heterogeneity and the complex within- a…
Latent Network Structure Learning from High Dimensional Multivariate Point Processes
Biao Cai, Jingfei Zhang, Yongtao Guan
Learning the latent network structure from large scale multivariate point process data is an important task in a wide range of scientific and business applications. For instance, w…