Author profile
Duke University
Limited-angle cone-beam CT (CBCT) reconstruction suffers from missing projection data, leading to severe streak artifacts, structural distortions, and degraded image quality. This study proposes a conditional diffusion-based projection extrapolation framework...
To propose a federated learning (FL) framework incorporating a novel deep ensemble strategy for multi-institutional brain metastasis (BM) segmentation, improving performance in limited local datasets while preserving privacy by avoiding large-scale data trans...
Effective radiotherapy for upper abdominal tumors requires dose escalation but is limited by respiratory motion and the low gastrointestinal radiation tolerance. Current clinical motion management on conventional Linacs relies on simple external surrogates th...
Conventional filtered backprojection with a fixed Ram-Lak filter in cone-beam CT (CBCT) reconstruction method often amplifies noise and streak artifacts under sparse-view acquisition, limiting image quality for image-guided radiotherapy. This study investigat...
To evaluate whether a federated learning (FL) scheme that leverages adult glioma patient data improves multi-parametric MRI (mp-MRI) based pediatric glioma segmentation.
To study the cardiac and respiratory heart motion together. Cardiorespiratory motion management is a significant topic in stereotactic arrhythmia radiotherapy (STAR). Cardiorespiratory motion consists of the heart beating and respiration. Commonly studied sep...
Radiotherapy for upper abdominal cancers is limited by respiratory motion and the low radiation tolerance, restricting safe dose escalation. Conventional linear accelerators rely on kV X-ray and CBCT imaging but lack real-time internal motion tracking capabil...