Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Automating post-operative primary clinical target volume (CTV) segmentation in head and neck (H&N) cancers is challenging due to the surgical absence of the primary tumor and anatomical heterogeneity. Without the distinct radiographic boundaries of a gross tu...
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...
Cancer treatment planning requires clinicians to rapidly synthesize complex clinical information from detailed patient notes, a process that is time-consuming and cognitively demanding, particularly in multidisciplinary workflows involving non-physician clini...