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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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The University of Alabama at Birmingham
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To investigate the effect of bolus–surface air gap on surface dose calculation for a clinical 6 MV photon beam.
Accelerated partial breast irradiation (APBI) combined with online adaptive radiotherapy (OART) offers precise treatment of early-stage breast cancer, but inter-observer variability (IOV) in target delineation must be accounted for to maintain treatment quali...
Automated radiotherapy treatment planning pipelines can reduce planning time and improve standardization, but clinical adoption is often limited by the time and specialized automation expertise required to define, configure, and maintain these pipelines. We d...
CT-guided online adaptive radiotherapy(CTgART) introduces substantial per-patient variability in session duration, complicating prospective scheduling. This study evaluates whether system-reported reference plan calculation metrics, specifically reference pla...
Radiotherapy planning requires frequent interaction with complex clinical software, creating inefficiency and opportunities for error. Current automation pipelines depend on scripting, large datasets, or vendor-specific APIs. Here, we assess whether a one-sho...
Clinical medical software is often deployed through streamed environments such as Citrix, where conventional automation methods fail due to the lack of native operating system controls and application programming interfaces. This work presents a visual-langua...
Radiation therapy treatment planning systems (TPS) rely on multiple DICOM DIMSE connections to exchange imaging, structure, plan, and dose data with upstream and downstream clinical systems. While standards exist for secure DICOM communication, there remains...
Numerous studies have quantified target baseline positional drift rates across anatomic sites; however, these investigations are often limited by surrogate localization methods (e.g., surface-guidance), single-site analyses, or limited datasets. Here, we leve...