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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.

Popular repositories Loading

  1. CoMIR CoMIR Public

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

    Jupyter Notebook 84 11

  2. MultiRegEval MultiRegEval Public

    Evaluation Framework for Multimodal Biomedical Image Registration Methods

    Python 38 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 9

  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 20 9

  6. inspire inspire Public

    INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration

    C++ 12

Repositories

Showing 10 of 24 repositories
  • 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.

    MIDA-group/CytoBrowser’s past year of commit activity
    JavaScript 20 GPL-3.0 9 90 (2 issues need help) 3 Updated Jan 22, 2026
  • MIDA-group.github.io Public

    Public web pages for the MIDA group

    MIDA-group/MIDA-group.github.io’s past year of commit activity
    HTML 0 MIT 0 0 0 Updated Nov 27, 2025
  • HiGINE Public

    Hierarchical Graph Isomorphism Network with Edge features

    MIDA-group/HiGINE’s past year of commit activity
    0 0 0 0 Updated Nov 14, 2025
  • lung_cancer_BOMI2_10fold Public Forked from MIDA-group/lung_cancer_BOMI2_dataset

    Contains Patient IDs, clinical data, sample data, cellular data and 10 fold cross validation splits.

    MIDA-group/lung_cancer_BOMI2_10fold’s past year of commit activity
    Python 0 1 0 0 Updated Oct 24, 2025
  • .github Public
    MIDA-group/.github’s past year of commit activity
    0 0 0 0 Updated Oct 24, 2025
  • lung_cancer_BOMI2_dataset Public

    Contains Patient IDs, clinical data, samples data, cellular data and cross validation splits. use this dataset to validate and compare with our different methods

    MIDA-group/lung_cancer_BOMI2_dataset’s past year of commit activity
    Python 0 1 0 0 Updated Jul 31, 2025
  • Cell-Detection Public

    Code for "A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology" presented at SCIA2025.

    MIDA-group/Cell-Detection’s past year of commit activity
    Python 2 1 0 0 Updated Jun 22, 2025
  • dzi_assemble Public

    Python script for assembling dzi tiles into full images using pyvips arrayjoin

    MIDA-group/dzi_assemble’s past year of commit activity
    Python 0 0 0 0 Updated Mar 18, 2025
  • MultiRegEval Public

    Evaluation Framework for Multimodal Biomedical Image Registration Methods

    MIDA-group/MultiRegEval’s past year of commit activity
    Python 38 MIT 5 0 0 Updated Jan 30, 2025
  • LetItShine Public

    Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection —— Computers in Biology and Medicine

    MIDA-group/LetItShine’s past year of commit activity
    Python 0 1 0 0 Updated Jan 21, 2025

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