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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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University of Washington and Fred Hutchinson Cancer Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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...
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...