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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Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
2 Pith papers cite this work, alongside 2,304 external citations. Polarity classification is still indexing.
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In noiseless simulations, EEG source reconstructions are most accurate when the forward source model matches the inverse method's source prior, e.g., the point-like Local subtraction model paired with the sparse SHAL1R solver.
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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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Forward--Inverse Interplay in FEM-Based EEG Source Imaging: Distributional Signatures of Advanced Source Models and Inverse Solvers
In noiseless simulations, EEG source reconstructions are most accurate when the forward source model matches the inverse method's source prior, e.g., the point-like Local subtraction model paired with the sparse SHAL1R solver.