Pinned Repositories
coregistration-njtv
Groupwise, between modality coregistration using a normalised joint total variation (NJTV) cost function.
JuliaLab
logistic-PCA-Tipping
Python implementation of logistic PCA (M. Tipping, NeurIPS 1999).
mhd-to-nifti
Some code to convert .mhd files to .nii (NIfTI) files. Uses example data from the RIRE dataset.
PredictPRoNTo
Predict using the PRoNTo toolbox. Supports both regression and classification, and different predictive models.
spm_superres
Super-resolution of multimodal clinical magnetic resonance images (MRIs)
synthesize-brain-mri-ct
Model-based image synthesize of CT and MR brain images.
UniRes
Model-based super-resolution of medical images in PyTorch.
CTseg
Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.
mb
Group-wise diffeomorphic registration and segmentation of medical images.
brudfors's Repositories
brudfors/UniRes
Model-based super-resolution of medical images in PyTorch.
brudfors/spm_superres
Super-resolution of multimodal clinical magnetic resonance images (MRIs)
brudfors/logistic-PCA-Tipping
Python implementation of logistic PCA (M. Tipping, NeurIPS 1999).
brudfors/synthesize-brain-mri-ct
Model-based image synthesize of CT and MR brain images.
brudfors/coregistration-njtv
Groupwise, between modality coregistration using a normalised joint total variation (NJTV) cost function.
brudfors/mhd-to-nifti
Some code to convert .mhd files to .nii (NIfTI) files. Uses example data from the RIRE dataset.
brudfors/JuliaLab
brudfors/PredictPRoNTo
Predict using the PRoNTo toolbox. Supports both regression and classification, and different predictive models.
brudfors/ClinicianCoders
brudfors/CNN-Regression-ABCD
brudfors/cornucopia
An abundance of augmentation layers
brudfors/decoded
brudfors/deep-learning-testbed
Code for doing deep learning, mostly on medical images (in python)
brudfors/holohub
Central repository for applications and operators for Holoscan
brudfors/holoscan-docs
Documentation for the Holoscan Platform
brudfors/MONAI
AI Toolkit for Healthcare Imaging
brudfors/monai-tutorials
MONAI Tutorials
brudfors/neural-enhance
Super Resolution for images using deep learning.
brudfors/nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
brudfors/OptiTrackNavigation
Slicer module for navigation using OptiTrack optical tracking sytem.
brudfors/ProjectWeek
Website for NA-MIC Project Weeks
brudfors/PythonLibs
brudfors/Slicer
Multi-platform, free open source software for visualization and image computing.
brudfors/SlicerIGT
Modules supporting image-guided interventions in 3D Slicer.
brudfors/SlicerPointSetProcessing
brudfors/StratifiedSampling
Tackles the problem of splitting a dataset into training, testing and validation, while trying to maintain the distribution of datapoints' fields (see stratified sampling).
brudfors/tomosipo
A library for painless 3D tomographic reconstruction
brudfors/VoxelBasedMorphometryDemo
MATLAB demo of Voxel Based Morphometry (VBM), using SPM12.
brudfors/voxelmorph
Unsupervised Learning for Image Registration
brudfors/VTK
Visualization Toolkit