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This project uses a multi-modal method to train a foundational model for medical images of cervical cancer patients. Multiple imaging modalities are used over the course of treatment: multiparametric MRI, CT, cone-beam CT, and PE...

Radiation therapy optimization problems frequently involve multiple competing objectives, requiring multi-objective optimization to navigate trade-offs. This work used a Non-dominated Sorting Genetic Algorithm (NSGA-II) optimizer...

To apply a multiparametric model selection strategy within a tensor radiomics paradigm, whereby different flavours of radiomics features are generated from multiple PET-CT image fusion strategies, to identify reliable and general...