A foveated imaging geometry CT (FIGCT) with mostly low-res detectors and a seeded diffusion model (DPFSR) enables global high-resolution CT reconstruction from limited high-res data.
SPIE -AAPM- NCI Lung Nodule Classification Challenge Dataset, in The Cancer Imaging Archive
2 Pith papers cite this work, alongside 39 external citations. Polarity classification is still indexing.
2
Pith papers citing it
39
external citations · OpenAlex
fields
physics.med-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Handcrafted radiomics from multicenter CT scans achieves 0.77 AUC for predicting EGFR and KRAS mutations in lung cancer and generalizes better than deep features.
citing papers explorer
-
Foveated-Imaging Geometry CT Architecture and Seeded Diffusion Model Enabling Global Super-Resolution Reconstruction
A foveated imaging geometry CT (FIGCT) with mostly low-res detectors and a seeded diffusion model (DPFSR) enables global high-resolution CT reconstruction from limited high-res data.
-
Robust Multicenter CT Radiogenomics for Dual EGFR and KRAS Prediction in Lung Cancer with Stability-Aware Modeling and SHAP Interpretation
Handcrafted radiomics from multicenter CT scans achieves 0.77 AUC for predicting EGFR and KRAS mutations in lung cancer and generalizes better than deep features.