Article

Task-guided Generative Adversarial Networks for Synthesizing and Augmenting Structural Connectivity Matrices for Connectivity-Based Prediction

2024-02-14

Abstract excerpt

Recent machine learning techniques have improved connectome-based predictions by modelling complex dependencies between brain connectivity and cognitive traits. However, they typically require large datasets that are costly and time-consuming to collect. To address this, we propose Task-guided GAN II, a novel data augmentation method that uses generative adversarial networks (GANs) to expand sample sizes in connec...

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Literature Corpus work: ad3f665d-71f3-5851-8099-de3cc57c0894
DOI: 10.1101/2024.02.13.580039

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