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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.
Current techniques for assessing setup margins in prostate and PLN radiation treatments rely on manual, time-consuming workflows. A novel automated workflow approach was developed to evaluate three clinical sites with different immobilization methods.
Longitudinal CBCT radiomics acquired during radiotherapy suffers from temporal variability. We developed a novel cumulative spatial and temporal aggregation framework (CBCTc) to optimize both prediction performance and stability for lung cancer survival predi...
The incorrect patient placed on the radiotherapy couch for treatment is rare, but the consequences are potentially devastating. We developed an artificial intelligence assistance tool intended to support therapists at the treatment console to ensure the corre...
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.