Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment-Reference-Cited by-同舟云学术

Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment

Published:2018-01 Issue:1 Volume:10 Page:737-749
ISSN:2352-8729
Container-title:Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
language:en
Short-container-title:Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

Author:

Qiu Shangran¹,Chang Gary H.²,Panagia Marcello³⁴,Gopal Deepa M.³⁴,Au Rhoda⁵⁶⁷⁸⁹,Kolachalama Vijaya B.²⁴¹⁰

Affiliation:

1. Department of PhysicsCollege of Arts and Sciences, Boston UniversityBostonMAUSA

2. Section of Computational Biomedicine, Department of MedicineBoston University School of MedicineBostonMAUSA

3. Section of Cardiovascular Medicine, Department of MedicineBoston University School of MedicineBostonMAUSA

4. Whitaker Cardiovascular Institute, Boston University School of MedicineBostonMAUSA

5. The Framingham Heart StudyBoston University School of MedicineBostonMAUSA

6. Department of Anatomy and NeurobiologyBoston University School of MedicineBostonMAUSA

7. Department of NeurologyBoston University School of MedicineBostonMAUSA

8. Department of EpidemiologyBoston University School of Public HealthBostonMAUSA

9. Boston University Alzheimer's Disease Center and Boston University CTE Center, Boston University School of MedicineBostonMAUSA

10. Hariri Institute for Computing and Computational Science and Engineering, Boston UniversityBostonMAUSA

Funder

National Center for Advancing Translational Sciences

National Institutes of Health

American Heart Association

National Institute on Aging

BU-CTSI

Scientist Development

NIH

Boston University's Affinity Research Collaboratives

Boston University Alzheimer's Disease Center

NIA

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1016/j.dadm.2018.08.013

Reference51 articles.

1. Alzheimer's Disease and Mild Cognitive Impairment

2. Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

3. On the path to 2025: understanding the Alzheimer’s disease continuum

4. Mini‐Mental State Examination (MMSE) for the detection of Alzheimer's disease and other dementias in people with mild cognitive impairment (MCI);Arevalo‐Rodriguez I.;Cochrane Database Syst Rev,2015

5. The Severe Mini-Mental State Examination: A New Neuropsychologic Instrument for the Bedside Assessment of Severely Impaired Patients With Alzheimer Disease

Cited by 69 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. Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders;Brain Informatics;2024-01-09

2. SVFR: A novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of Alzheimer's disease;Heliyon;2024-01

3. A joint CNN-GNN framework for early diagnosis of AD using multi-source multi-modal data;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

4. Automated Classification of Alzheimer’s Disease Stages Using T1-Weighted sMRI Images and Machine Learning;Proceedings of Congress on Control, Robotics, and Mechatronics;2023-11-10

5. Eye diseases diagnosis using deep learning and multimodal medical eye imaging;Multimedia Tools and Applications;2023-09-13