Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease

Author:

Pan Dan1,Luo Genqiang1,Zeng An2ORCID,Zou Chao3,Liang Haolin2,Wang Jianbin2,Zhang Tong4ORCID,Yang Baoyao2ORCID,the Alzheimer's Disease Neuroimaging Initiative

Affiliation:

1. School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, China

2. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

3. Research and Development Centre of Guangzhou Department, Agricultural Bank of China, Guangzhou, China

4. School of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, South China University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong

Science and Technology Planning Project of Guangzhou

Alzheimer’s Disease Neuroimaging Initiative (ADNI), National Institutes of Health

Department of Defense ADNI

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

AbbVie

Alzheimer’s Association

Alzheimer’s Drug Discovery Foundation

Araclon Biotech

BioClinica

Biogen

Bristol-Myers Squibb Company

CereSpir, Inc.

Cogstate

Eisai Inc.

Elan Pharmaceuticals, Inc.

Eli Lilly and Company

EuroImmun

F

Fujirebio

GE Healthcare

IXICO

Janssen Alzheimer Immunotherapy Research and Development, LLC

Johnson and Johnson Pharmaceutical Research and Development, LLC

Lumosity

H. Lundbeck A/S

Merck and Company, Inc.

Meso Scale Diagnostics, LLC

NeuroRx Research

Neurotrack Technologies

Novartis Pharmaceuticals Corporation

Pfizer, Inc.

Piramal Imaging

Servier

Takeda Pharmaceutical Company

Transition Therapeutics

Canadian Institutes of Health Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Cited by 2 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. AMSF: attention-based multi-view slice fusion for early diagnosis of Alzheimer’s disease;PeerJ Computer Science;2023-11-23

2. sMRI Classification of Alzheimer's Disease Using Genetic Algorithm and Multi-Instance Learning (GA+MIL);2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM);2023-08-26

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