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Found 3 papers, 1 papers with code
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation
In this study, we construct the largest preprocessed unlabeled TOF-MRA datasets (1510 subjects) to date.
Heterogeneous Graph-Based Multimodal Brain Network Learning
Other experiments also indicate that our proposed model with a pretraining strategy alleviates the problem of limited labelled data and yields a significant improvement in accuracy.
Will a Blind Model Hear Better? Advanced Audiovisual Recognition System with Brain-Like Compensating and Gating
Multi-modal data (e. g., audio-visual inputs, various medical images) fusion neural networks has draw more attention recently with growing number of models and training techniques being proposed.
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