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Author profile
Yunxiang Li
Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
Clinical Validation of Ivim Parameter Estimation for Treatment Response Assessment In Head-and-Neck Cancer Radiotherapy
To clinically validate an implicit neural representation (INR)-based fitting approach for intravoxel incoherent motion (IVIM) diffusion MRI parameter estimation against conventional non-linear least squares (NLLS), and to evaluate a robustness metric (R-index...
Poster Program · Therapy Physics
DWI-Agent: LLM-Powered Agent for Automated DWI Processing and Clinical Interpretation
Diffusion-weighted MRI (DWI) and its derived parameters, including apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) metrics, are valuable for assessing tumor response to radiotherapy. However, DWI processing workflows are complex,...
Poster Program · Therapy Physics
Regscore: A Foundation Model-Driven Universal Metric for Multi-Modality Medical Image Registration
Accurate evaluation of multi-modality deformable image registration remains a critical challenge in radiotherapy. Traditional metrics such as Normalized Mutual Information (NMI), Mean Absolute Error (MAE), and Normalized Cross-Correlation (NCC) are based on i...
Proffered Program · Therapy Physics
Real-Time Deformable Liver Motion Tracking By a Single Arbitrarily-Angled X-Ray Projection Via a Latent Diffusion Model (Latent-Liver)
Real-time liver motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting. We developed a conditional latent point cloud diffusion model (Latent-Liver) for real-time deformable liver motion tracking and tumor localization usi...
Proffered Program · Therapy Physics