Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis
Zhenyu Liu(Shanxi Agricultural University), Jie Tian(Shanghai Jiao Tong University), Ting Xue(Xidian University), Hu Wang(Shanghai Fudan Microelectronics (China)), Chongguang Zhong(Chinese Academy of Sciences), Lijun Bai(Taiyuan University of Technology), Yuanyuan Feng(Chinese Academy of Sciences), Yumei Zhang(First Affiliated Hospital of Shihezi University Medical College), Hao Yan(Xidian University), Youbo You(Chinese Academy of Sciences), Ruwei Dai(Chinese Academy of Sciences), Wen‐Juan Wei(First Affiliated Hospital of Zhengzhou University)
Cited by 57
Related Papers
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
|Theranostics|2019|1k
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
|Clinical Cancer Research|2017|562
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
|Medical Image Analysis|2017|489
The influence of hierarchical hybrid micro/nano-textured titanium surface with titania nanotubes on osteoblast functions
|Biomaterials|2010|464
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
|European Respiratory Journal|2019|441