Emily Y. Hirata, PhD

As treatment planning evolves toward patient-specific optimization, traditional static dose constraints are insufficient for distinguishing high-quality versus acceptable plans. Current planning directives rely on generic dose constraints that fail to strive...

To address the data scarcity bottleneck in deep learning (DL) dose prediction by establishing a foundation model-based transfer learning framework. We aim to demonstrate that adapting large-scale public priors to institutional data significantly enhances lear...

Craniospinal irradiation (CSI) is resource-intensive, requiring complex field junctions and long treatment times that challenge existing clinical workflow. Volumetric modulated arc therapy (VMAT) improves planning target volume (PTV) coverage and organ-at-ris...

Professional