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Author profile
Anees H. Dhabaan, PhD
Department of Radiation Oncology and Winship Cancer Institute, Emory University
Quantitative Evaluation of Auto Contouring Algorithm Performance on Hypersight Versus Conventional CBCT
Accurate auto-contouring is essential for efficient prostate radiotherapy, particularly in image-guided and adaptive workflows, where contour quality influences clinical decision-making. This study quantitatively evaluates Radformation auto-contouring perform...
Poster Program · Therapy Physics
Improving Immune Preservation for Lung Cancer Patients with Ultra-Fast Proton Therapy Using Pin Ridge Filters
Radiation-induced lymphopenia (RIL) is a prevalent and clinically significant toxicity in lung cancer radiotherapy. Circulating lymphocyte exposure is inherently time-dependent due to blood flow through irradiated volumes during beam delivery. Intensity-modul...
Poster Program · Therapy Physics
Multimodal Large Language Models for Patient-Specific Radiotherapy Objective Constraint Generation
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...
Poster Program · Therapy Physics
Training-Free Deformable Image Registration Using Unsupervised Multi-Teacher Distillation
Deformable image registration (DIR) in medical imaging remains inherently ill-conditioned due to structural ambiguities and weak anatomical constraints. Although foundation models (FMs) have shown strong promise for unsupervised DIR, existing approaches typic...
Poster Program · Therapy Physics