All conference submissions

Standardizing the assessment of the Tumor Microenvironment (TME) is critical for personalizing therapy in Head and Neck Squamous Cell Carcinoma (HNSCC). As part of a larger multiomics effort to discover multiscale biomarkers, we...

Accurate patient stratification is critical for personalized radiation therapy in head-and-neck cancer (HNC), yet it remains challenging due to disease heterogeneity, high-dimensional feature spaces, and limited sample sizes for...

To create a large, quality-controlled abdominal CT atlas that enables radiotherapy auto-contouring research by providing standardized, voxel-wise annotations across diverse institutions and by supporting uncertainty-aware expert...

To develop and evaluate an intuitive all-in-one visualization tool for assessing delivered dose on daily CBCT. Daily dose calculations introduce a longitudinal perspective to classic plan metrics such as DVHs, objectives, and cli...

Quality and safety concepts have remained important to Radiation Oncology. Historically, adherence to strict and prescriptive quality assurance paradigms was prioritized, but attention has recently shifted towards prospective ris...

This study analyzes reliability of whole-body CT segmentations from a deep-learning model deployed at a large pediatric center across protocol types and ICRP organ categories, evaluating age-stratified performance for clinical do...

In intensity-modulated proton therapy (IMPT), spot positions are conventionally fixed on uniform grids, and optimization is limited to spot weights. This constraint can restrict achievable dose conformity and increase the number...

While image translation models like CycleGANs are increasingly used in medical imaging tasks, evaluating their training behavior remains challenging. Current practices often rely on batch-wise loss curves or selected visual outpu...

Cs-131 tile implant–based intracranial brachytherapy requires coordinated interdisciplinary efforts spanning imaging, source management, implantation, post-implant planning, and radiation safety. The extent of inter-institutional...

To establish an automated framework for MRI protocol management and clinical examination monitoring that enables scalable and queryable protocol representation, automated exam-to-protocol classification, real-time examination per...

X-ray Minibeam Radiotherapy (MBRT) is an emerging technology recently translated to first-in-human treatments. MBRT uses narrow beamlets generated by specialized collimators to produce spatially fractionated dose distributions wi...

Manual plan checking is time-consuming and prone to variability across reviewers. To improve consistency and reliability in the plan-check workflow, we developed a fully automated RayStation plan-check system that performs more t...

To streamline the treatment planning and delivery workflow for VMAT‑based Total Body Irradiation (TBI) and evaluate its impact on utilization of clinical resources.

Convolutional neural networks (CNNs) are effective in modeling local textures and fine-grained spatial structures, while Coordinate Attention captures long-range spatial dependencies, enhancing global contextual awareness and pre...

Accurate deformable image registration (DIR) between magnetic resonance imaging (MRI) and computed tomography (CT) remains a significant challenge in gynecologic brachytherapy, particularly between images acquired with and withou...

To evaluate the accuracy of Metal Artifact Reduction (MAR) reconstructions in Head and Neck scans using Virtual Monoenergetic Images (VMI) acquired with the Dual-Energy CT (DECT) technology Gemstone Spectral Imaging (GSI)

In comparison to treating a single lesion at isocenter, the use of SIMT to treat multiple lesions is more sensitive to rotational errors, which can affect the delivered dose distribution. The aim of this study is to retrospective...

To design an anthropomorphic phantom that closely mimics a clinical brain metastases patient to assess the end-to-end performance of multi-lesion SRS treatments.

To assess the image quality of cone-beam CT images that are reconstructed using metal artifact reduction algorithm on an C-arm linac.

Quantitative Digital Subtraction Angiography (qDSA) is a method for determining blood velocity in which iodinated contrast agent is injected into pulsatile arterial blood flow and oscillations in contrast are tracked as they prop...

To evaluate the impact of the Normal Tissue Objective (NTO) in the Eclipse (Varian) treatment planning system on volumetric modulated arc therapy (VMAT) radiosurgery plans, focusing on clinical parameters, plan complexity, and pa...

This study presents the development and evaluation of a novel automated 1D water phantom integrating smart water sensing, voice control, temperature monitoring, and wireless connectivity to enhance accuracy, efficiency, and user...

Early and accurate diagnosis of breast cancer is critical for improving patient survival rates; however, the clinical adoption of artificial intelligence–based diagnostic systems remains limited due to their lack of interpretabil...

This study investigates the feasibility of using two affordable optical surface–imaging technologies to generate detailed 3D maps of the treatment room and patient surface for detecting and mitigating potential collisions between...