Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
University of North Carolina
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To integrate qualitative assessments from experienced treatment planners with quantitative geometric comparisons to evaluate the clinical utility of a deep learning (DL)-based auto-segmentation tool and establish performance criteria grounded in clinical usab...
To examine whether new recently reported dose volume constraints of bladder and rectum can be satisfied in clinical prostate CyberKnife SBRTs without sacrificing target coverage. Also, to use a normal tissue complication (NTCP) model to determine the expected...
To determine which cardiac substructures are associated with radiation-induced cardiac symptoms following radiotherapy for stage III non-small cell lung cancer (NSCLC), and to estimate the corresponding dose–response relationships using a widely applied norma...
For craniospinal irradiation (CSI), VMAT offers superior dose conformality and normal tissue sparing compared to traditional 3D techniques. However, generating these plans is cumbersome. It requires multiple isocenters, optimization of a large number of organ...