Synopsis of recent research by authors named "Mary Gronberg"
- Mary Gronberg's recent research primarily focuses on the application of deep learning techniques in enhancing the accuracy, robustness, and quality of radiation therapy, particularly in proton therapy and volumetric modulated arc therapy (VMAT) for various cancers, including gynecologic and head and neck cancers.
- Her studies have introduced innovative solutions such as real-time contouring feedback tools and deep-learning-based dose prediction and verification algorithms that aim to reduce variability in treatment planning, improve contouring accuracy, and ensure higher-quality treatment outcomes.
- Gronberg's work emphasizes the necessity for reliable statistical evaluations in treatment planning and emphasizes clinical acceptability in automated contouring and planning tools, highlighting the importance of developing efficient algorithms for real-world application in clinical settings.
