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quantification is performed on non-contrast enhanced images. Consequently, the development of automatic methods for calcium scoring in diverse CT scans without contrast has received a lot of attention. However
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therapeutic options and potential cures are becoming increasingly feasible. The eye is particularly suitable for gene therapy approaches due to its well-defined structure, accessibility and ability to be imaged
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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candidate you will: Collaborate closely with the experimental team that acquires these multiscale data Analyse rat MRI data, including integration with histology and calcium imaging Combine data across