WaveDiT proposes a conditional flow matching model in 3D Haar wavelet space with heteroscedastic uncertainty for efficient full-resolution brain MRI synthesis.
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2026 2verdicts
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HCP data analysis clusters individuals by social profiles into two groups where the more socially beneficial cluster scores higher on positive mental health measures and shows lower interconnectivity especially in the default mode network.
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WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis
WaveDiT proposes a conditional flow matching model in 3D Haar wavelet space with heteroscedastic uncertainty for efficient full-resolution brain MRI synthesis.
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Linking the "inner" and "outer" self to mental health and brain networks
HCP data analysis clusters individuals by social profiles into two groups where the more socially beneficial cluster scores higher on positive mental health measures and shows lower interconnectivity especially in the default mode network.