Jul 12, 2023 · We present SwiFT (Swin 4D fMRI Transformer), a Swin Transformer architecture that can learn brain dynamics directly from fMRI volumes in a memory and ...
The main gist of our method is to employ the 4D local window attention structure, which makes SwiFT readily applicable to process large-scale, high-dimensional ...
SwiFT, based on the Swin Transformer, can effectively predict various biological and cognitive variables from fMRI scans and even explain these predictions. We ...
The paper propose Swin Transformer-based architecture that can learn brain dynamics directly from 4D functional brain MRI data in an end-to-end fashion, ...
Oct 31, 2023 · The main gist of our method is to employ the 4D local window attention structure, which makes SwiFT readily applicable to process large-scale, ...
Swin 4D fMRI Transformer is the first Swin Transformer architecture to process dimensional spatiotemporal brain functional data in an end-to-end fashion and ...
Duration: 10:56
Posted: Dec 19, 2023
Posted: Dec 19, 2023
Jul 12, 2023 · This scalable, transformer-based approach potentially reduces the need for task-based fMRI in clinical settings, marking a promising direction ...
A Swin Transformer architecture that can learn brain dynamics directly from 4D functional brain MRI data in a memory and computation-efficient manner.
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Publications Detailed Information SwiFT: Swin 4D fMRI Transformer Cited 0 time in Web of Science Cited 0 time in Scopus