Author profile
University of Maryland School of Medicine
HyperSight cone-beam CT (HS-CBCT) on C-arm linacs may enable CBCT-based replanning by improving image quality, HU fidelity, and field-of-view (FOV). We evaluated clinical feasibility and dose-recalculation agreement using patient data.
Radiomic survival models often have substantial class imbalance, which can distort patient ranking and reduce the reliability of predicted survival probabilities. This study evaluated commonly used imbalance-handling strategies and whether their effects chang...
To evaluate how varying the noise-suppression level and reducing the imaging exposure affects contrast-detail performance and other image quality metrics in image-guided radiation therapy.
Daily cone-beam CT (CBCT) is widely used in adaptive proton therapy; however, scatter artifacts can degrade image quality and introduce proton dose calculation inaccuracies. We developed a region-of-interest (ROI)–guided Swin-Transformer deep learning (DL) ne...
Radiomics models often exhibit unreliable performance and substantial variation across institutions. One aspect that has not been examined thoroughly is how parameter settings—such as normalization scale, outlier handling, and bin width—affect downstream resu...