#pretraining2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago4

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Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG

Researchers have developed Brain-OF, the first omnifunctional brain foundation model that can process fMRI, EEG, and MEG data simultaneously within a unified framework. The model introduces novel techniques like Any-Resolution Neural Signal Sampler and Masked Temporal-Frequency Modeling, trained on 40 datasets to achieve superior performance across diverse neuroscience tasks.

AINeutralarXiv – CS AI · 4h ago0

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General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classification

Research comparing CNN architectures for brain tumor classification found that general-purpose models like ConvNeXt-Tiny (93% accuracy) outperformed domain-specific medical pre-trained models like RadImageNet DenseNet121 (68% accuracy). The study suggests that contemporary general-purpose CNNs with diverse pre-training may be more effective for medical imaging tasks in data-scarce scenarios.