Breast cancer screening reduces breast cancer mortality through early detection, with mammography as the most widely used imaging modality. However, radiologist interpretation is time-consuming, and existing AI tools still suffer from missed subtle lesions an...
Author profile
Lei Zhang, PhD
Medical Physics Graduate Program, Duke Kunshan University
Physics-Guided Transfer Learning and Explainable Attention U-Net++ for Breast Lesion Detection
Proffered Program · Diagnostic and Interventional Radiology Physics
Multiphasic CT Delta Radiomics for Four-Class Prediction of Combined Vetc/Mvi Phenotypes In Hepatocellular Carcinoma
Preoperative phenotyping of vessels that encapsulate tumor clusters (VETC) and microvascular invasion (MVI) is clinically important in hepatocellular carcinoma (HCC) diagnosis and treatment. While most studies rely on MRI, CT-based prediction remains limited...
Poster Program · Diagnostic and Interventional Radiology Physics
BLUE RIBBON POSTER IMAGING: Self-Supervised Low-Field MRI Denoising with Multi-Contrast Structural Guidance
Low-field MRI suffers from intrinsically low SNR, which limits image quality and slows wide clinical adoption. Deep learning–based denoising shows strong promise, yet supervised training requires paired high-quality references that are rarely available for lo...
Poster Program · Diagnostic and Interventional Radiology Physics