Jing Wang, PhD

Accurate prediction of overall survival (OS) in glioblastoma (GBM) remains challenging in clinical practice. Recently developed foundation models trained on large-scale medical imaging datasets offer a promising strategy to improve downstream clinical predict...

Stereotactic ablative radiotherapy (SAbR) achieves high local control in patients with oligometastatic renal cell carcinoma (omRCC), but a subset of patients experience early progression due to occult micrometastatic disease and may not benefit from an oligom...

Stereotactic ablative radiotherapy (SAbR) has demonstrated efficacy in controlling oligometastatic renal cell carcinoma (omRCC) with safely delayed systemic therapy. However, a subset of patients has limited benefit from SAbR, which may require upfront system...

To quantify renal parenchyma functional changes in response to radiation dose for patients treated with kidney stereotactic body radiotherapy (SBRT) by analyzing the paired pre- and post-treatment contrast-enhanced CT scans. We hypothesize that radiation indu...

Early prediction of distant metastasis (DM) risk in head and neck cancer (HNC) can enable timely interventions that may improve treatment outcomes. While machine learning approaches using medical imaging have been widely explored for this task, many current m...

Therapy Physics

Positron emission tomography (PET) is essential for image-guided radiotherapy by enabling accurate tumor localization and delineation. For sites affected by respiration, time-resolved PET is needed to resolve motion but challenged by very low counts per timef...

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...