Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding

@inproceedings{Lv2015ModelingTF,
  title={Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding},
  author={Jinglei Lv and Binbin Lin and Wei Zhang and Xi Jiang and Xintao Hu and Junwei Han and Lei Guo and Jieping Ye and Tianming Liu},
  booktitle={MICCAI},
  year={2015}
}
Task functional MRI fMRI has been widely employed to assess brain activation and networks. Modeling the rich information from the fMRI time series is challenging because of the lack of ground truth and the intrinsic complexity. Model-driven methods such as the general linear model GLM regresses exterior task designs from voxel-wise brain functional activity, which is confined because of ignoring the complexity and diversity of concurrent brain networks. Recently, dictionary learning and sparse… CONTINUE READING