RDoerfel
Interested in Machine Learning, Image Processing, and Neuroscience.
Karolinska InstitutetCopenhagen, Denmark
RDoerfel's Stars
meta-llama/codellama
Inference code for CodeLlama models
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
nilearn/nilearn
Machine learning for NeuroImaging in Python
skrub-data/skrub
Prepping tables for machine learning
rmcelreath/stat_rethinking_2024
ANTsX/ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
freesurfer/freesurfer
Neuroimaging analysis and visualization suite
clu0/unet.cu
UNet diffusion model in pure CUDA
JJGO/UniverSeg
UniverSeg: Universal Medical Image Segmentation
bids-standard/bids-specification
Brain Imaging Data Structure (BIDS) Specification
scientific-python/cookie
Scientific Python Library Development Guide and Cookiecutter
spinalcordtoolbox/spinalcordtoolbox
Comprehensive and open-source library of analysis tools for MRI of the spinal cord.
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
nipreps/smriprep
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
yetianmed/subcortex
Milan-BUAA/TSAN-brain-age-estimation
TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.
probabilisticai/nordic-probai-2024
Materials of the Nordic Probabilistic AI School 2024.
Novestars/Neural_Pre_Processing
Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space
openneuropet/PET2BIDS
PET2BIDS helps you convert your PET data into BIDS! raw PET scanner files (e.g. ecat, dicom) and additional side files like .e.g excel sheets
alanqrwang/brainmorph
A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
pBFSLab/DeepPrep
DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning
predictive-clinical-neuroscience/NM_educational_OHBM24
normative modelling educational course OHBM24
FiRMLAB-Pisa/pySynthMRI
PysynthMRI is a python open-source tool which provides a user-friendly interface to synthesize contrast weighted images.
rwindsor1/biobank-self-supervised-alignment
Code for MICCAI 2021 submission 'Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging'
westman-neuroimaging-group/brainage-prediction-mri
Predicting the age of the brain with minimally processed T1-weighted MRI data
netneurolab/hansen_brainstemfc
Data and code supporting Hansen et al., 2023 bioRxiv "Integrating brainstem and cortical functional architectures"
CRAI-OUS/MUSTER
Multi Session Temporal Registration
mnoergaard/petprep
mathesong/OHBM2024_tutorial
A short tutorial on PET modelling for OHBM2024
mnhng/CoPA