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@MIDA-group

Methods for Image Data Analysis - MIDA

MIDA is a research group in Computerized Image Analysis at Uppsala University, Sweden

Research in Computerized Image Analysis at Uppsala University, Sweden

The MIDA group focuses on development of general methods for image data analysis. Our aim is to devise generally applicable methods, which work well independent of the particular application and types of images used. We therefore strive for robust methods which are performing well under varying conditions. Also aiming for practically useful methods, we essentially always collaborate with other groups, most often withing medicine and biomedicine.

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  1. CoMIR CoMIR Public

    Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches

    Jupyter Notebook 79 11

  2. MultiRegEval MultiRegEval Public

    Evaluation Framework for Multimodal Biomedical Image Registration Methods

    Python 36 5

  3. globalign globalign Public

    Fast global mutual information-based rigid alignment in the Fourier domain

    Python 32 4

  4. py_alpha_amd_release py_alpha_amd_release Public

    Py-Alpha-AMD Registration Framework - Robust Image Registration - Public Release

    Python 20 8

  5. CytoBrowser CytoBrowser Public

    CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.

    JavaScript 19 8

  6. inspire inspire Public

    INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration

    C++ 12

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