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Author profile
Riya Prashad, BS
Department of Radiation Oncology, Stanford University School of Medicine
A Web-Accessible Comprehensive (Weave) Platform for Vestibular Schwannoma Auto-Segmentation and Treatment Follow-up
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...
Poster Program · Therapy Physics
Brain-Dynamics: A Unified Platform for Longitudinal Tracking and Quantitative Assessment of Brain Lesion Dynamics In Neuroimaging
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...
Poster Program · Therapy Physics
Large Scale Analysis of Practice Patterns Emerging from an Automated Real-Time Evaluation of a Commercial Artificial Intelligence Auto-Contouring Solution
To evaluate real-time, longitudinal performance of a commercial auto-segmentation model across a broad radiotherapy cohort and examine contour editing influence on planning decisions and organ-at-risk (OAR) doses, with attention to practice patterns, disease-...
Poster Program · Therapy Physics
Optimized 0.35T Cine MRI with Implicit Neural Representation Reconstruction for Improved Real-Time Motion Monitoring In MR-Guided Radiotherapy
While MR-guided radiotherapy enables real-time, soft-tissue–based motion management, clinical 2D cine MRI often sacrifices spatial resolution to maintain frame rate, which can contrast oncological contrast. This study aims to optimize a 2D cine MRI protocol o...
Poster Program · Therapy Physics