Reslicing: Analyzing 3D Data

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Covers the ABBA workflow for processing and analyzing brain images using QuPath and OMERO.

Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Explores the evolution of the Time Machine project from Venice to Europe, showcasing the creation of large-scale Data commons.

Covers data visualization techniques, tools, and concepts for effective data representation.

Covers the basics of Matplotlib for 2D graphic representation in Python, including plotting data and visualizing functions.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

Explores image processing in 2D and 3D, covering ideal imaging conditions, histogram analysis, tools, 3D reconstruction steps, and visualization.

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Explores tools for managing and analyzing big data in the Human Brain Project, focusing on challenges in connectomics and 3D brain navigation.