A deep learning approach for diagnosing schizophrenic patients-Reference-Cited by-同舟云学术

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A deep learning approach for diagnosing schizophrenic patients

Published:2019-01-20 Issue:6 Volume:31 Page:803-816
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Srinivasagopalan Srivathsan¹,Barry Justin²,Gurupur Varadraj³,Thankachan Sharma²

Affiliation:

1. Alumni, Department of Computer Science, Louisiana State University, Baton Rouge, LA, USA

2. Department of Computer Science, University of Central Florida, Orlando, FL, USA

3. Department of Health Management and Informatics, University of Central Florida, Orlando, FL, USA

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2018.1563636

Reference35 articles.

1. A Baseline for the Multivariate Comparison of Resting-State Networks

2. Big data analysis for brain tumor detection: Deep convolutional neural networks

3. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

4. Structural magnetic resonance imaging markers of susceptibility and transition to schizophrenia: A review of familial and clinical high risk population studies

5. A training algorithm for optimal margin classifiers

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