All conference submissions

AI-based autosegmentation is widely used in radiation oncology to improve efficiency and consistency; however, these models may silently fail when applied to cases that deviate from their training distribution, placing responsibi...

Small variations in radiochromic material thickness in films leads to variability in sensitivity and uncertainty in measured dose. To achieve high accuracy, the commercial films correct for this through a dispersion of the yellow...

Molecular breast imaging (MBI) with Tc-99m sestamibi and a dedicated gamma camera is useful for dense breast screening, however, a bilateral 2-view (CC and MLO) exam at 10 min/view requires 40 minutes. We aim to halve MBI’s acqui...

Professional

The purpose of this work was to develop a user-friendly software package that could be used as a simulation and training tool for brachytherapy. This web-based tool was designed particularly to meet the needs of students, residen...

To investigate the synergistic radiosensitization of gold nanoparticles (GNPs) and paclitaxel (PTX) in high dose-rate (HDR) brachytherapy for prostate cancer using 2D (monolayer) and 3D (spheroid) cell models. HDR is used as a lo...

Lattice radiation therapy (LRT) is an innovative radiotherapy technique lacking the standardized approach for the spatial distribution of high-dose regions. Manual placement is time-consuming and subjective. Automated regular geo...

To evaluate the presence and severity of electromagnetic interference (EMI) artifacts from left ventricular assist devices (LVADs) in mammography.

Accurate tumor segmentation is essential for adaptive radiation therapy (ART) but remains time-consuming, labor-intensive, and subject to considerable inter-user variations. Recent advances in foundation models, such as Segment A...

Therapy Physics

To improve prescription dose coverage while limiting surface dose of vaginal cuff “dog ears” during a high dose rate brachytherapy treatment by creating a universally usable applicator that allows for lateral expansion.

Radiopharmaceuticals, Theranostics, and Nuclear Medicine

Diagnostic and Interventional Radiology Physics

To enhance breast malignancy prediction, this study develops a multimodal framework that integrates automated, Vision-Language Model (VLM)-derived BI-RADS lexicons with quantitative radiomic features.

This study aimed to develop an accurate and automated deep learning model for segmenting the clinical target volume (CTV) in cervical cancer radiotherapy, addressing the limitations of time-consuming and variable manual contourin...

Therapeutic electron beams are normally characterized by a percent dose versus depth (PDD) curve. Beam tuning based on PDD features can produce large variations in the resulting energy spectra, potentially leading to premature ma...

Professional

To quantify treatment-associated immune density changes in prostate cancer following HDR brachytherapy, and to determine whether Raman spectroscopic signatures of tissue biochemistry may serve as potential biomarkers of immune re...

Recent studies have demonstrated the benefit of incorporating supplemental needles into intracavitary brachytherapy. However, estimating the extent of interstitial needle usage needed prior to the procedure remains challenging. T...

To quantify and visualize tumor microenvironment transport behavior in longitudinal breast DCE-MRI acquired during neoadjuvant chemotherapy (NACT), and to develop image-based biomarkers for predicting therapeutic response

Target delineation remains one of the most significant workflow bottlenecks in radiotherapy. Particularly, CTV segmentation remains challenging because it depends on clinical reasoning beyond visible imaging features. This study...

Ultrahigh dose-rate (FLASH) radiotherapy delivers radiation within millisecond timescales, yet direct measurement of radiolytic oxidative processes during beam delivery remains technically challenging. This study aimed to develop...

Therapy Physics

Diagnostic and Interventional Radiology Physics