Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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University of California San Francisco
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
As treatment planning evolves toward patient-specific optimization, traditional static dose constraints are insufficient for distinguishing high-quality versus acceptable plans. Current planning directives rely on generic dose constraints that fail to strive...
For medical physics residents, clinical decision-making can be a difficult skill to teach and master – most residents come from academic graduate programs with limited clinical exposure, and the regulatory nature of radiation oncology leads to limited opportu...
Cognitive decline following brain radiotherapy is strongly associated with hippocampal injury, yet scalable methods for assessing treatment-related hippocampal structural change in clinical practice remain limited. This study evaluates hippocampal volume loss...
Accurate delineation of Head and Neck (H&N) Gross Tumor Volumes (GTV) is a prerequisite for effective radiotherapy, represents a significant cognitive challenge, and may contribute to an observed outcomes deficit between high-volume and low-volume H&N radioth...
Craniospinal irradiation (CSI) is resource-intensive, requiring complex field junctions and long treatment times that challenge existing clinical workflow. Volumetric modulated arc therapy (VMAT) improves planning target volume (PTV) coverage and organ-at-ris...