AINeutralarXiv – CS AI · Jun 106/10
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Tractogram foundation model
Researchers introduce TractFM, a foundation model that learns reusable representations from whole-brain diffusion MRI tractography data by combining local streamline encoding with permutation-equivariant processing. The model demonstrates strong transfer learning capabilities across different tractography algorithms, datasets, and prediction tasks, achieving accurate tract parcellation and demographic predictions without task-specific fine-tuning.