Classification of MR brain images by combination of multi-CNNs for AD diagnosis-Reference-Cited by-同舟云学术

Classification of MR brain images by combination of multi-CNNs for AD diagnosis

Published:2017-07-21 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Cheng Danni¹,Liu Manhua¹,Fu Jianliang²,Wang Yaping³

Affiliation:

1. Shanghai Jiao Tong Univ. (China)

2. Shanghai Jiao Tong Univ. Affiliated Sixth People’s Hospital (China)

3. Zhengzhou Univ. (China)

Publisher

SPIE

Reference12 articles.

1. Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

2. Multimodal classification of Alzheimer's disease and mild cognitive impairment

3. Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease

4. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

5. Voxel-based morphometric comparison between early- and late-onset mild Alzheimer’s disease and assessment of diagnostic performance of z score images;Ishii;American Journal of Neuroradiology,2005

Cited by 71 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. Advancing early diagnosis of Alzheimer’s disease with next-generation deep learning methods;Biomedical Signal Processing and Control;2024-10

2. Alzheimer’s disease diagnosis using deep learning techniques: datasets, challenges, research gaps and future directions;International Journal of System Assurance Engineering and Management;2024-07-30

3. Classification of Alzheimer's disease using Ricci flow-based spherical parameterization and machine learning techniques;Signal, Image and Video Processing;2024-07-27

4. Alzheimer’s Disease Classification using Feature Enhanced Deep Convolutional Neural Networks;International Journal of Next-Generation Computing;2024-05-14

5. Deep Learning Techniques for Alzheimer’s Disease Prediction;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09