Uncertainty Quantification in AI-Based Dosimetry Systems
Interns will research methods to quantify and characterize uncertainties in machine learning-based dose prediction and optimization algorithms. They will implement Bayesian neural networks, uncertainty propagation analysis, and develop confidence metrics essential for clinical decision-making in radiotherapy.
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