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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
High linear energy transfer (LET) IMNT faces practical delivery constraints: low output rates (~55 MU/min), manual gantry and couch rotations (~3-5 min/field), and mandatory wait times (~1-2 min/field) for neutron activation concerns. Our standard-of-care (SO...
Uncertainty-aware multimodal biomarker-guided treatment response prediction in metastatic NSCLC remains a critical unmet need to support robust therapy selection and adaptation over time. We developed a multimodal framework integrating FDG-PET, T-cell recepto...
A web-based quality assurance (QA) management platform can reduce clinic hardware and software needs while streamlining QA workflows through improved accessibility, trend tracking, and automated failure notifications. This study reports on the implementation...
Multiscale treatment response prediction in advanced NSCLC enables spatially informed dose painting, yet prediction point estimates alone do not convey the uncertainty required for adaptive therapy decision support. We developed a multiscale conformal predict...
Patients receiving radiotherapy (RT) for liver cancer have limited liver function reserves, which increases risk of radiation-induced liver injury, but tools to evaluate functional response post-RT are lacking. We modeled liver function changes on 99mTc sulfu...