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Prashant Vempati, MD
University Hospitals Seidman Cancer Center
A Deep Learning Framework for Institution-Independent PTV Delineation In Glioblastoma Using Heterogeneous MRI Datasets
To develop a robust, institution-independent quality assurance model using heterogeneous datasets. By prioritizing generalizability over site-specific tuning, this model aims to predict and assist in the delineation of PTV contours for glioblastoma (GBM) usin...
Poster Program · Therapy Physics
A Synthetic-Geometry, Mlc-Aware Machine Learning Framework for Collimator Angle Selection In Single-Isocenter Multi-Target VMAT SRS
Collimator orientation in single-isocenter multi-target (SIMT) SRS significantly impacts multileaf collimator (MLC) modulation and overall plan quality. We developed a machine learning (ML) framework to identify optimal collimator angles prior to Treatment Pl...
Poster Program · Therapy Physics