Methods for Image Data Analysis - MIDA
MIDA is a research group in Computerized Image Analysis at Uppsala University, Sweden
Pinned Repositories
CoMIR
Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches
CoMIR_INSPIRE
Framework for Multimodal Deformable Image Registration. Coordinated equivariant representation learning (CoMIR) combined with robust deformable registration by INSPIRE.
CrossModal_ImgRetrieval
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations
CytoBrowser
CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.
globalign
Fast global mutual information-based rigid alignment in the Fourier domain
inspire
INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
MultiRegEval
Evaluation Framework for Multimodal Biomedical Image Registration Methods
OralScreen
Code of paper "A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images"
py_alpha_amd_release
Py-Alpha-AMD Registration Framework - Robust Image Registration - Public Release
sdt
Stochastic Distance Transform - Python/NumPy/SciPy implementation.
Methods for Image Data Analysis - MIDA's Repositories
MIDA-group/CoMIR
Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches
MIDA-group/MultiRegEval
Evaluation Framework for Multimodal Biomedical Image Registration Methods
MIDA-group/globalign
Fast global mutual information-based rigid alignment in the Fourier domain
MIDA-group/py_alpha_amd_release
Py-Alpha-AMD Registration Framework - Robust Image Registration - Public Release
MIDA-group/CytoBrowser
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/inspire
INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
MIDA-group/OralScreen
Code of paper "A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images"
MIDA-group/CoMIR_INSPIRE
Framework for Multimodal Deformable Image Registration. Coordinated equivariant representation learning (CoMIR) combined with robust deformable registration by INSPIRE.
MIDA-group/CrossModal_ImgRetrieval
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations
MIDA-group/sdt
Stochastic Distance Transform - Python/NumPy/SciPy implementation.
MIDA-group/OralCancerMILvsSIL
MIDA-group/SampledABMIL
MIDA-group/cross_sim_ngf
Global alignment of volumes with cross similarity of normalized gradient fields
MIDA-group/CMIF
Fast computation of cross-mutual information function (CMIF) in the frequency domain
MIDA-group/itkAlphaAMD
Registration framework based on alpha-amd distance and ITK.
MIDA-group/.github