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Deep learning project that focuses on self supervised Super Resolution algorithm on medical image data.
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Masterthesis about the analysis of microarray data regarding Crohn's disease patients
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to make a comprehensive study of different cancer types in The Cancer Genome Atlas (TCGA) in terms of the expression of HLA subclasses A,B and C.
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It is a software developed for interpolating large datasets generated by simulations or experiments that consist of various scalar and vector fields from an Unstructured grid To a Structured grid(UTS) using the Paraview Python libraries
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