DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity-Reference-Cited by-同舟云学术

DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity

Author:

Nandakumar Naresh¹,Hsu David²,Ahmed Raheel³,Venkataraman Archana⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Johns Hopkins University, USA

2. Department of Neurology, University of Wisconsin, USA

3. Department of Neurosurgery, University of Wisconsin, USA

4. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA

Funder

National Science Foundation

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

Reference86 articles.

1. The burden of epilepsy to patients and payers;cadarelli;American Journal of Managed Care,2010

2. Pytorch: An imperative style, high-performance deep learning library;paszke;Adv Neural Inf Process Syst,2019

3. Evaluating the replicability of significance tests for comparing learning algorithms;remco;Proc Pacific-Asia Conf Knowl Discov Data Mining,0

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