Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification-Reference-Cited by-同舟云学术

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification

Published:2019-05 Issue:5 Volume:38 Page:1227-1239
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Li Yang^ORCID,Yang Hao^ORCID,Lei Baiying^ORCID,Liu Jingyu^ORCID,Wee Chong-Yaw

Funder

National Natural Science Foundation of China

Minjiang University

Natural Science Foundation of Beijing Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/8704227/08540933.pdf?arnumber=8540933

Cited by 43 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. CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network;Cognitive Computation;2024-06-13

2. Inferring brain causal and temporal-lag networks for recognizing abnormal patterns of dementia;Medical Image Analysis;2024-05

3. Predicting rectal cancer prognosis from histopathological images and clinical information using multi-modal deep learning;Frontiers in Oncology;2024-04-15

4. Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification;Computers in Biology and Medicine;2024-03

5. Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis;IEEE Transactions on Medical Imaging;2024-02