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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Thomas Jefferson University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Conventional radiotherapy plan evaluation relies on isolated dose–volume metrics that provide limited insight into the magnitude and clinical significance of deviations from protocol-defined organ-at-risk (OAR) objectives. We propose a plan-level OAR dose dev...
Big-data radiotherapy research faces challenges in achieving consistent structure nomenclature across large hospital networks. This study develops and validates a novel automated pipeline for standardizing structure names. Our multi-tier matching pipeline int...
To introduce a platform for automated comparative analysis of dose calculation algorithms in the Eclipse Treatment Planning System. Native TPS workflows are labor-intensive, manual, and lack the automated metric evaluation needed for efficient AAPM MPPG5b com...
To evaluate whether a multi-view computer vision–based surface-guided radiotherapy framework (CV-SGRT) can overcome occlusion-related limitations of conventional SGRT systems and improve surface reconstruction and respiratory motion accuracy.