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Jordan DeKraker's Projects

ashs-slurmparallel icon ashs-slurmparallel

Original code from https://www.nitrc.org/projects/ashs/. The goal of this project is to add Slurm parallelization compatibility

brainspace icon brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

caffe-segnet-cudnn5 icon caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

deeplearning icon deeplearning

every grad student needs to spend the requisite hours floundering with these types of tools and ideas

hippunfold icon hippunfold

BIDS App for Hippocampal AutoTop (automated hippocampal unfolding and subfield segmentation)

hippunfolding icon hippunfolding

Code for unfolding of hippocampal grey matter using Laplacian equation. Requires manual labelling of the hippocampal 'dark band' and grey matter, as well as some surrounding structures (see associated publication for instructions)

micapipe icon micapipe

micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below

niftynet-imageaugmentation icon niftynet-imageaugmentation

Code, slides, and examples of how to augment image-based deep learning problems using the method described by Uzonova et al. (2017)

nighres icon nighres

Processing tools for high-resolution neuroimaging

slicer_laplacesolver icon slicer_laplacesolver

Code for Slicer Module (via MATLAB bridge) to solve Laplace equation within a label volume

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