Chulong Zhang

Automated segmentation of lung nodules in chest CT is critical for early cancer screening but remains challenging due to the small size and variable morphology of nodules, which often resemble vessels or pleura. This study proposes a novel framework integrati...

Our previous work proposed a Neural ODE–based U-Net (NODE-UNet) that generates continuous trajectories to visualize the evolution of feature representations from the initial input to the terminal state. We hypothesize that modeling contextual consistency alon...

To enhance breast malignancy prediction, this study develops a multimodal framework that integrates automated, Vision-Language Model (VLM)-derived BI-RADS lexicons with quantitative radiomic features.