Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Department of Radiation Oncology, Stanford University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Sparse detector arrays commonly used for patient-specific radiotherapy quality assurance (QA) cannot provide complete spatial dose distribution measurements, leading to uncertainties particularly in high-gradient dose regions.The goal of this project is to de...
To develop a WEb-Accessible comprehensiVE (WEAVE) platform, that combines AI-driven segmentation with a user-friendly interface to automatically segment Vestibular Schwannomas (VS) and track longitudinal volumes for disease assessment, planning, and monitorin...
To address fragmentation and variability in longitudinal brain lesion assessment, we developed Brain-Dynamics, a vendor-neutral platform integrating auto‑segmentation, multimodal co‑registration, lesion labeling/tracking, and quantitative analytics for resear...
The Mevion S250-FIT is the world’s first ultra-compact proton therapy system designed with a form factor compatible with existing LINAC vaults. This raises questions regarding radiation shielding adequacy and electromagnetic compatibility with adjacent radiot...
To develop a unified software platform, CyberOrchestrator, for streamlining CyberKnife radiosurgery clinical workflows and managing clinical data in support of translational and clinical research.