Papers
3
Total Citations
41
H-Index
3
About
Mu-Han Lin is a leading expert in radiation oncology physics, specializing in robotic radiosurgery, quality assurance (QA) for advanced treatment systems, and the application of artificial intelligence in radiotherapy. Her major contributions include pioneering patient-specific QA protocols for robotic radiosurgery systems, where she demonstrated the feasibility of using planar ion chamber arrays and cylindrical diode arrays for extracranial treatments—a critical advancement for ensuring treatment accuracy and safety. This work, published in 2015, has garnered 20 citations and established foundational methods for clinical QA. More recently, she has broken new ground in multimodal radiotherapy dose prediction, developing a multi-task deep learning model that optimizes dose delivery for accelerated partial breast irradiation (APBI), a rapidly adopted treatment modality. This 2024 paper, with 15 citations, showcases her ability to integrate machine learning into clinical workflows. Lin has also explored the use of robotic radiation delivery systems and intensity-modulated proton therapy for pediatric brain tumors, addressing the unique challenges of treating young patients. Her research bridges cutting-edge technology and practical clinical implementation, making her a key figure in advancing precision radiation therapy.
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