Simeng Zhu

Simeng Zhu's research focuses on applying artificial intelligence and machine learning to radiation oncology, particularly for medical image segmentation, treatment planning, and outcome prediction in cancers such as head and neck, esophageal, and prostate cancer. The work spans deep learning models for organ and tumor segmentation, dose prediction algorithms, and natural language processing tools for extracting clinical information, alongside some collaborative projects in molecular biology and critical care medicine.

Publication output has grown substantially over the last decade, especially since 2023, with output more than tripling by 2024-2025 compared to earlier years.

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