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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.
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...
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...
FDG-PET/CT scans obtained for lung cancer staging may encode underutilized cardiac information. This study aimed to: (1) assess the predictive power of PET-derived radiomics for pre-treatment cardiovascular conditions; (2) evaluate model performance across tw...
Cardiotoxicity assessment following lung cancer radiotherapy is limited by the difficulty of extracting outcomes from unstructured Electronic Health Records (EHRs). Large Language Models (LLMs) offer a scalable solution, with privacy constraints necessitating...