most citedDeep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 1 cited

Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction

Cameron Dennis Pain, Yasmeen George, Alex Fornito +2

Low-dose positron emission tomography (PET) image reconstruction methods have potential to significantly improve PET as an imaging modality. Deep learning provides a promising mean…