JulianKlug/Geneva-Stroke-Preprocessing

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Python
Created over 4 years ago
Updated about 3 years ago

JulianKlug/Geneva-Stroke-Preprocessing

JulianKlug

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A set of tools to preprocess acute stroke imaging. Originally designed for the Geneva Stroke Dataset.

PerfusionCT-Net

A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.

Jupyter Notebook

stroke-receptive-fields

A project on the study of receptive fields for the prediction of lesions in ischemic stroke.

Jupyter Notebook

OPSUM

Outcome Prediction for Stroke Unit high-frequency data through Machine learning

Jupyter Notebook

stroke-resilience

Investigation of brain network reorganisation after stroke.

Jupyter Notebook

SimpleVoxel-3D

Simple voxel datasets for classification and segmentation tasks in 3D

Jupyter Notebook

theKwikou

BayesianSkipNet

A novel way of building on prior information for the automatic prediction and segmentation of stroke lesions. We reformulate the task to identify differences from a prior segmentation by extending a three-dimensional Attention Gated Unet with a skip connection allowing only an unchanged prior to bypass most of the network. We show that this technique improves results obtained by a baseline Attention Gated Unet on both the Geneva Stroke Dataset and the ISLES 2018 dataset.

Jupyter Notebook

fentaSim

Web-based fentanyl pharmacokinetics simulator

EarGuard

DTI-Scripts

A selection of scripts for DTI analysis with FSL

RandAugment-3D

Implementation of RandAugment in 3D