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Caiwen Jiang

2 accepted papers

2026

SBSDM: A Style-aware Bidirectional Stream Diffusion Model for CT-to-PET Synthesis

IJCAI 2026

CT-to-PET synthesis aims to synthesize PET images from the widely available and lower-cost CT scans to address the high cost and additional radiation exposure associated with PET scanning. However, CT-to-PET synthesis faces two key challenges due to the sequential correlation of volumetric imaging:

Cited by 0Scholar
2024

A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI

IJCAI 2024poster

Alzheimer's disease (AD) leads to abnormalities in various biomarkers (i.e., amyloid-β and tau proteins), which makes PET imaging (which can detect these biomarkers) essential in AD diagnosis. However, the high radiation risk of PET imaging limits its scanning number within a short period, presentin…