The primary objective of this study was to develop and validate a machine learning (ML) model to predict gamma pass rates (GPR) for patient-specific quality assurance (PSQA), with the ultimate goal of advancing this model into an open-source tool that can sup...
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Mohammad Ullah Shemanto, MSc
Evercare Hospital Chattogram
Assessing the Accuracy of an ML Model for Patient-Specific Quality Assurance Prediction: A Single-Center, Single-Linac Validation Study
Poster Program · Therapy Physics
Dosimetric Evaluation of Ezfluence In Breast Radiotherapy Using the Monaco Treatment Planning System
To assess the dosimetric impact and planning efficiency of EZFluence integrated into the Monaco treatment planning system compared with conventional planning in breast-conserving radiotherapy.
Poster Program · Therapy Physics
A Hybrid Vision Transformer-Based Framework for Multi-Endpoint Survival Prediction In Oropharyngeal Cancer
This study presents a hybrid framework combining Vision Transformer (ViT) and handcrafted radiomic features for oropharyngeal carcinoma (OPC), to enhance multi-endpoint survival prediction.
Poster Program · Therapy Physics
Evaluation of Planning Target Margins In Head and Neck Cancer Radiotherapy: A Multicentric Experience from Bangladesh
Head and neck cancers (HNC) pose unique challenges due to anatomical complexity and setup uncertainties during radiotherapy. In resource-limited settings like Bangladesh, standardized planning target volume (PTV) margins may inadequately address institutional...
Poster Program · Therapy Physics