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Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans
To address these limitations, we propose a content based image retrieval (CBIR) method for retrieving dose distributions of previously planned patients based on anatomical similarity.
Learning the Physics of Particle Transport via Transformers
For the most precise targeting of tumors, next generation RT treatments aim for real-time correction during radiation delivery, necessitating particle transport algorithms that yield precise dose distributions in sub-second times even in highly heterogeneous patient geometries.
A semi-supervised autoencoder framework for joint generation and classification of breathing
To our knowledge, the presented framework is the first approach that unifies generation and classification within a single model for this type of biomedical data, enabling both computer aided diagnosis and augmentation of labeled samples within a single framework.
