Papers
2
Total Citations
19
H-Index
2
About
Mona Arbab is a rising researcher in radiation oncology, with a focused expertise in breast cancer treatment and advanced radiotherapy techniques. Her work centers on optimizing dose delivery through multimodal approaches, particularly for accelerated partial breast irradiation (APBI) and single-fraction ablative therapies. Arbab’s major contributions include pioneering a multi-task deep learning model for multimodal radiotherapy dose prediction, a 2024 study that has already garnered 15 citations for its potential to streamline treatment planning across different APBI modalities. She also led early-phase clinical investigations, such as a Phase I pre-operative single-fraction ablative trial for early-stage breast cancer, demonstrating her commitment to translating computational innovations into patient care. With a citation count reflecting the immediate relevance of her work, Arbab is recognized for bridging artificial intelligence and clinical oncology. Her achievements highlight her role in advancing personalized, less invasive radiation treatments, making her a notable figure in the evolving landscape of breast cancer radiotherapy.
Research Focus
Key Achievements
Top Papers
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