A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning-Reference-Cited by-同舟云学术

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A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning

Published:2018-01-10 Issue:2 Volume:28 Page:113-123
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Asim Yousra¹,Raza Basit¹,Malik Ahmad Kamran¹,Rathore Saima²,Hussain Lal³,Iftikhar Mohammad Aksam⁴^ORCID

Affiliation:

1. Department of Computer Science; COMSATS Institute of Information Technology; Islamabad Pakistan

2. Department of Radiology; Perelman School of Medicine, University of Pennsylvania; Philadelphia PA USA

3. Department of Computer Science and Information Technology; University of Azad Jammu and Kashmir; Muzaffarabad Pakistan

4. Department of Computer Science; COMSATS Institute of Information Technology; Lahore Pakistan

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference38 articles.

1. Forecasting the global burden of Alzheimer's disease;Brookmeyer;Alzheimer's Dement.,2007

2. High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization;Casanova;Front Neuroinform.,2011

3. Automatic classification of MR scans in Alzheimer's disease;Klöppel;Brain.,2008

4. Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI;Magnin;Neuroradiology.,2009

5. Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database;Cuingnet;NeuroImage.,2011

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