Institution profile
Rank #62 · 15 unique linked submissions.
People
Dose sparing of cardiac substructures has the potential to improve thoracic radiotherapy outcomes beyond conventional whole-heart dose-volume metrics. However, manual delineation of numerous substructures is prohibitive, limiting the availability of high-qual...
Cone-beam CT (CBCT) is integral to modern radiotherapy workflows; however, limited soft-tissue contrast and imaging artifacts restrict its quantitative use, particularly for online auto-segmentation in CBCT-guided adaptive radiotherapy. Models pretrained on c...
Adaptive radiotherapy (ART) for head and neck (HN) cancer helps maintain target coverage and spare organs-at-risk (OARs) despite anatomical changes like weight loss. For clinics without online ART, early identification of patients needing replanning is essent...
While reinforcement-learning (RL) based needle placement optimization has been explored in prostate brachytherapy, its application to gynecologic high dose rate (HDR) brachytherapy remains limited. This work presents a reinforcement learning based framework f...
High-resolution CT is important for radiotherapy contouring and dose calculation. However, acquiring high through-plane resolution is often constrained by radiation dose, motion artifacts, and scanner limitations. This study aims to generate high-resolution (...
Radiomics-enabled adaptive radiotherapy depends on on-treatment imaging that maintains CT-like quantitative biomarkers. We evaluated whether HyperSight CBCT preserves planning-CT radiomic biomarkers more faithfully than conventional CBCT in pelvic radiotherap...
To test whether HyperSight CBCT (HS-CBCT) improves consistency of longitudinal radiomics with planning CT versus conventional CBCT in pelvic radiotherapy.
To investigate the suitability of three different materials as background media for use with in-house phantoms for HDR interstitial brachytherapy. In-house phantoms are designed to supplement commercial phantom capabilities and enable interstitial needle plac...
This work assesses a multimodal Large Language Model (MedGemma) for generating planning objectives in standard fractionation (60Gy/30fx) lung cancer radiotherapy. Unlike static vendors' templates, the proposed system dynamically provides objectives based on p...
The Gamma-Emitter Contamination Assessment Tool (GECAT) is a software application designed to perform in-field radiological triage. The application relies on detector count rate efficiency data generated by performing Monte Carlo radiation transport on digita...
Online adaptive proton therapy is highly sensitive to interfractional anatomical variation, yet conventional online replanning workflows remain time‑intensive and limit routine clinical implementation, particularly for hypofractionated prostate stereotactic b...
Prostate MRI is increasingly used in modern radiotherapy, but compared with CT, large-scale MRI datasets remain limited for fine-tuning foundation models. This study investigates the cross-modality transferability of a CT–fine-tuned foundation model to prosta...
To compare the predictions of two pharmacokinetic models for 177Lu-PSMA radiopharmaceutical therapy on a virtual patient cohort and evaluate how their differences in predicted time-activity curves propagate to the organ-at-risk self-dose estimations across an...
Digital twins—computational replicas of patients, organs, or biological systems—are redefining how we model disease, predict treatment response, and personalize medical care. By integrating imaging, biological, and clinical data with physics-based and AI-driv...
Diagnostic and Interventional Radiology Physics