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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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The University of Texas Southwestern Medical Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
The Russian invasion of Ukraine has significantly disrupted radiation therapy (RT) services, highlighting the urgent need to replace Cobalt-60 machines and modernize infrastructure and training across 43 RT centers. In response, Help Ukraine Group (HUG) and R...
Amid ongoing war, Ukraine continues to maintain and modernize radiation therapy (RT) services. Between 2023 and 2025, 24 linacs were installed to replace aging, non-rechargeable cobalt units. While linacs offer clinical advantages, they require stringent dosi...
Online adaptive prostate MR-guided radiotherapy (MRgRT) is time-sensitive, and contouring with structure preparation can require upwards of 15 minutes per fraction. While vendor-TPS provided contours can be useful, performance and consistency vary by site, pr...
To provide AAPM members with a centralized, authoritative, and continuously updated web-based resource for obtaining beam quality conversion factors, kQ, and other data needed to realize absorbed dose measurements using the AAPM TG-51 protocol.
MRI–only radiotherapy planning requires accurate synthetic CT (sCT) generation to enable dose calculation and patient positioning without a planning CT in Linac-based treatment delivery settings. While prior studies have demonstrated promising results for ind...
to evaluate performance of Elekta Unity 1.5T MR-Linac Comprehensive Motion Management (CMM) system across multiple gating strategies and anatomical sites: gastrointestinal(GI), genitourinary(GU), and thoracic(lung). This work aims to provide a practical refer...
Time-resolved volumetric MRI reconstructed from minimal k-space samples is critical for motion-adaptive radiotherapy to capture real-time deformable motion. We propose a Gaussian representation-based one-shot learning framework that models patient anatomy and...