Multiclass Diagnosis of Neurodegenerative Diseases: A Neuroimaging Machine-Learning-Based Approach-Reference-Cited by-同舟云学术

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Multiclass Diagnosis of Neurodegenerative Diseases: A Neuroimaging Machine-Learning-Based Approach

Published:2019-05-12 Issue:26 Volume:58 Page:11498-11505
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Singh Gurpreet¹,Vadera Meet²³,Samavedham Lakshminarayanan⁴^ORCID,Lim Erle Chuen-Hian⁵

Affiliation:

1. Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York 10021, United States

2. Department of Mechanical Engineering, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat 382355, India

3. Department of Computer Science, University of Massachusetts, Amherst, Massachusetts 01002, United States

4. Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585 Singapore

5. Division of Neurology, National University Health System, 119228 Singapore

Funder

National University of Singapore

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b06064

Reference28 articles.

1. What and When of Cognitive Aging

2. Evaluation of treatment effects in Alzheimer's and other neurodegenerative diseases by MRI and MRS

3. Brain Magnetic Resonance Imaging Techniques in the Diagnosis of Parkinsonian Syndromes

4. Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy

5. Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease

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