Functional Brain Network Classification Based on Deep Graph Hashing Learning-Reference-Cited by-同舟云学术

Functional Brain Network Classification Based on Deep Graph Hashing Learning

Published:2022-10 Issue:10 Volume:41 Page:2891-2902
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Ji Junzhong¹^ORCID,Zhang Yaqin¹^ORCID

Affiliation:

1. Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China

Funder

NSFC Research Program

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/ielx7/42/9906463/09770779.pdf?arnumber=9770779

Reference48 articles.

1. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

2. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI

3. Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss

4. Deep Supervised Hashing With Anchor Graph

5. Asymmetric Deep Supervised Hashing

Cited by 12 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. The diagnosis of ASD with MRI: a systematic review and meta-analysis;Translational Psychiatry;2024-08-02

2. Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

3. A hybrid CNN-SVM model for enhanced autism diagnosis;PLOS ONE;2024-05-14

4. Integrative Approaches for Understanding and Characterizing ADHD;Advances in Medical Technologies and Clinical Practice;2024-02-23

5. Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning;IEEE Transactions on Medical Imaging;2024-01