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Author profile
Guoping Xu
Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Prior-Guided Automatic Segmentation of Brain Tumor Targets for Adaptive Radiation Therapy on MR-Linacs
T1-weighted (T1w) and T2-weighted (T2w) FLAIR MRI provide complementary image contrast for delineating gross tumor volume (GTV) and clinical target volume (CTV) in brain tumor radiotherapy (RT) planning during both MRI simulation (MR-Sim) and MRI-guided RT (M...
Poster Program · Therapy Physics
Proteotranscriptomic Biomarker Identification for Radiation Response Prediction In Non-Small Cell Lung Cancer Cell Lines
Predicting tumor radiosensitivity remains a major challenge in precision radiotherapy due to incomplete concordance between transcriptomic alterations and functional protein expression. This study aims to develop an integrated transcriptomic–proteomic framewo...
Poster Program · Therapy Physics
Segment Anything Model 3 for Concept-Driven Whole-Body Lesion Segmentation-an Experimental Study
Accurate lesion segmentation is fundamental to medical image analysis, yet most methods are tailored to specific anatomical sites or modalities, limiting their generalizability in diverse clinical settings. While recent vision-language foundation models enabl...
Proffered Program · Diagnostic and Interventional Radiology Physics
Prior Knowledge-Based Augmentation for Target Auto-Segmentation In Adaptive Radiation Therapy Using Segment Anything Model 2
Accurate tumor segmentation is essential for adaptive radiation therapy (ART) but remains time-consuming, labor-intensive, and subject to considerable inter-user variations. Recent advances in foundation models, such as Segment Anything Model 2 (SAM2), show s...
Proffered Program · Therapy Physics