An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification

Subject variability in mild traumatic brain injury (mTBI) data has often been an obstacle in accurate injury-related feature extraction and biomarker identification for successful mTBI diagnosis. To address this issue, we propose an adversarial variational autoencoder model as a novel regularization...

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Bibliographic Details

Published in:	International IEEE/EMBS Conference on Neural Engineering (Online) pp. 408 - 411
Main Authors:	Salsabilian, Shiva, Najafizadeh, Laleh
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04.05.2021
Subjects:	Biological system modeling Brain modeling Calcium Feature extraction Neural activity Neural engineering Transfer learning
ISSN:	1948-3554
Online Access:	Get full text
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