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cs.CV2026
BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models
Junfeng Xia, Wenhao Ye, Junxiang Zhang +3
fMRI foundation models increasingly aggregate heterogeneous data across brain states, cohorts, and acquisition settings, yet pretraining domains are commonly treated as a flat mixt…
cs.CV2026★ 1 cited
SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis
Mo Wang, Junfeng Xia, Wenhao Ye +5
Foundation models are emerging as a powerful paradigm for fMRI analysis, but current approaches face a dual bottleneck of data- and training-efficiency. Atlas-based methods aggrega…