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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, Stanford University School of Medicine
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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...
Upright radiotherapy offers physiological and dosimetric advantages. Mevion S250-FIT, world’s first clinical ultra-compact synchrocyclotron-based upright proton therapy system, incorporates a novel upright CT for treatment planning and image guidance. This st...
With improvements in patient outcomes, re-irradiation is increasingly pursued and is becoming a common occurrence in the clinic. Safe planning requires accurate characterization of cumulative organ-at-risk (OAR) exposure across treatment courses that may diff...
Commissioning and performance validation of the world’s first ultra-compact upright proton therapy system and establish benchmarks for this novel treatment delivery paradigm.
To develop a unified software platform, CyberOrchestrator, for streamlining CyberKnife radiosurgery clinical workflows and managing clinical data in support of translational and clinical research.