kerkelae

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

disimpy

Massively parallel Monte Carlo diffusion MR simulator written in Python.

dkmri

Reproducible and efficient diffusion kurtosis imaging in Python.

ethereum-optimism.github.io

Unified token list for OP Mainnet, Base, and other OP Chains

replication-gyori-et-al

Code for replicating the paper "Training data distribution significantly impacts the estimation of tissue microstructure with machine learning"

researchhub-backend

Django API for researchhub.com

researchhub-web

🚀 Accelerating Science - researchhub.com Next.js web app

scnn-investigation

Code for reproducing the results of my spherical CNN paper.

simplest-ollama-interface

ufa-model-comparison

Code for reproducing the results of my μFA model comparison paper.

kerkelae/disimpy

Massively parallel Monte Carlo diffusion MR simulator written in Python.

kerkelae/dkmri

Reproducible and efficient diffusion kurtosis imaging in Python.

kerkelae/replication-gyori-et-al

Code for replicating the paper "Training data distribution significantly impacts the estimation of tissue microstructure with machine learning"

kerkelae/ethereum-optimism.github.io

Unified token list for OP Mainnet, Base, and other OP Chains

kerkelae/researchhub-backend

Django API for researchhub.com

kerkelae/researchhub-web

🚀 Accelerating Science - researchhub.com Next.js web app

kerkelae/scnn-investigation

Code for reproducing the results of my spherical CNN paper.

kerkelae/simplest-ollama-interface

kerkelae/ufa-model-comparison

Code for reproducing the results of my μFA model comparison paper.