Sponsored Advertising Content
Red Ion
Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Yuji Murakami
Hiroshima University
Biologically Adaptive Dose Compensation Based on Tumor Radiosensitivity Derived from In-Treatment Volume Dynamics
Tumor regression during radiotherapy reflects underlying radiosensitivity, yet adaptive radiotherapy is largely guided by geometric changes and physical dose metrics. We developed a biologically adaptive radiation therapy (BART) framework that derives tumor-s...
Poster Program · Therapy Physics
Development and Multi-Institutional External Validation of an Automatic IMRT Planning System for Highly Accurate Beam Delivery Using Deep Learning-Predicted Fluence Maps
High beam delivery accuracy is essential for reliable IMRT delivery and efficient QA. This study aimed to develop a deep learning-based automatic planning system to improve delivery accuracy using predicted fluence maps and to evaluate its performance and gen...
Poster Program · Therapy Physics
From Segmentation to Modeling Tumor Evolution: Trajectory-Aware Time-Series Learning (TRASE) for Adaptive Radiotherapy
Accurate delineation of the gross tumor volume of the primary lesion (GTVp) during radiotherapy is essential for ART, particularly in head-and-neck cancer where tumor regression and anatomical deformation occur during treatment. However, mid-treatment contour...
Poster Program · Therapy Physics
Image-to-Drug In Glioblastoma: Multi-Sequence MRI Radiomics Coupled with Deep Q-Network Drug Discovery
To develop an image-to-drug framework for glioblastoma (GBM) that translates multi-sequence MRI radiomics–based survival risk into actionable therapeutic hypotheses, by integrating ensemble survival modeling with multi-omics reinforcement learning.
Proffered Program · Therapy Physics