All conference submissions

To develop and evaluate a personalized physician-in-the-loop (PPitL) AI framework for accurate and efficient CT tumor segmentation through iterative clinician feedback.

To propose and validate a novel dosimetric method integrating inter-fractional temporal dose changes for improved SCLC prognosis management and individualized decision-making.

Photon-counting CT (PCCT) incorporates detector technology that supports quantitative imaging in routine diagnostic evaluation by reducing scanner- and patient-specific effects, thereby enabling more reliable material quantificat...

While adaptive radiotherapy (ART) is increasingly being adopted into clinical practice, treatment planning, delivery, dose reporting, and clinical trial QA have not yet been standardized for national clinical trials, leaving a ga...

Head and neck cancer (HNC) patients undergoing radiotherapy often necessitate replanning due to anatomical changes. However, replanning is resource-intensive and typically decided on short notice, causing workflow disruptions and...

Ultra-high-dose-rate (UHDR) proton irradiation may spare normal tissue (FLASH effect), but PBS proton dose rate is limited by machine constraints (minimum MU/spot and dwell time). Intra-field interruptions can leave sub-threshold...

To advance sparse-information constrained respiratory modeling toward an information-augmentation driven paradigm by incorporating data augmentation, multimodality guidance, prior-informed representation, and improved optimizatio...

Re-irradiation of brain neoplasms remains a significant clinical challenge. Resection without adjuvant re-irradiation is associated with a high local failure rate, whereas re-irradiation alone may improve local control but is ass...

This study aims to introduce a new SPArc algorithm with a variable tolerance window (SPArc-variable) to further improve plan quality for patients receiving bilateral breast and regional nodal irradiation, by allowing extra energy...

To provide AAPM members with a centralized, authoritative, and continuously updated web-based resource for obtaining beam quality conversion factors, kQ, and other data needed to realize absorbed dose measurements using the AAPM...

Existing spatial domain implementations of Hotelling observers used to assess imaging system performance provide a single SNR figure of merit associated with a symmetric test object. The purpose of this work was to develop and va...

Functional avoidance radiotherapy requires accurate regional lung ventilation mapping. Jacobian-based free-breathing ventilation derived from deformable image registration (DIR) of 4DCT is established but susceptible to inaccurac...

Stereotactic Body Radiation Therapy (SBRT) of the lung can cause large deformations which make accurate dose accumulation for retreatment challenging. This study investigates the effect of different deformable image registration...

The IROC SRS brain phantom provides independent end-to-end tests for clinical trial credentialing; utilizing this unique dataset characterized by heterogeneous community practices, we aimed to evaluate the utility of machine lear...

To develop an in-silico tumor model that incorporates nutrient-driven growth and radiotherapy response to generate spatio-temporal proliferating (P), quiescent (Q), and necrotic (N) cell maps for radiomics-based heterogeneity ana...

To investigate whether physics-based radiomics standardization can increase agreement in radiomics extracted from radiologist-annotated regions of diffuse lung disease (DLD) phenotypes across CT reconstruction kernels and radiati...

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 e...

Commercial model-based dose calculation algorithms (MBDCAs) show promise for advancing intensity-modulated brachytherapy (IMBT). However, transitioning from the TG‑43 protocol to MBDCAs requires benchmark studies against referenc...

Primary headache (PH) disorders are diverse, but many patients continue to suffer because the underlying causes remain unclear. Diffusion MRI is sensitive to micro-structural brain changes and may therefore serve as an objective...

To investigate whether ultra-high dose rate (UHDR) electron beams induce a FLASH effect, quantified through differential gene expression in the plant species Arabidopsis thaliana.

To determine if Artificial Intelligence (AI) deep learning models can infer patient ethnicity from screening mammograms, and to identify the image features enabling this inference.

Radiation-induced toxicities have become more prevalent with increasing incidence of human papillomavirus-associated oropharyngeal cancer. Osteoradionecrosis (ORN) is a severe toxicity defined by decay of bone, commonly the mandi...

Previously, we showed equivalent success in predicting multiple sclerosis (MS) white matter lesion evolution over two years using separate 3D U-Nets based on either baseline conventional MRI (cMRI) or quantitative MRI (qMRI). Her...

Radiation dermatitis (RD) is a primary acute toxicity in proton therapy for H&N cancer patients. Since skin typically resides in the distal fall-off region of the posterior or posterior oblique beams, the radiobiological dose may...