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

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cs.CV2026

NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis

Hongxi Yang, Yiwen Jiang, Siyuan Yan +8

Interpretability is essential for trustworthy medical image diagnosis. However, existing concept-driven interpretable methods have key limitations: Concept Bottleneck Models (CBMs)…

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…