Generalized fMRI activation detection via Bayesian magnitude change point model-Reference-Cited by-同舟云学术

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Generalized fMRI activation detection via Bayesian magnitude change point model

Published:2014-04 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
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Author:

Lian Zhichao,Lv Jinglei,Xing Jianchuan,Li Xiang,Jiang Xi,Zhu Dajiang,Xu Jiansong,Potenza Marc N.,Liu Tianming,Zhang Jing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6861559/6867780/06867799.pdf?arnumber=6867799

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognizing Brain States Using Deep Sparse Recurrent Neural Network;IEEE Transactions on Medical Imaging;2019-04

2. An Optimized Method for Bayesian Connectivity Change Point Model;Journal of Computational Biology;2018-03

3. Robust activation detection methods for real-time and offline fMRI analysis;Computer Methods and Programs in Biomedicine;2017-06

4. Detecting Change Points in fMRI Data via Bayesian Inference and Genetic Algorithm Model;Bioinformatics Research and Applications;2017

5. Bayesian Inference for Functional Dynamics Exploring in fMRI Data;Computational and Mathematical Methods in Medicine;2016

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