TODO

Replace preprocessing pipeline with Nipype (Only available on Linux)
1. Original CAT12 pipeline
2. HCP pipeline (T2 needed?)
Image feature extraction pipeline
1. Input: Image from preprocessing pipeline
2. Output: Feature array to be concatenated to baseline non-imaging data
Estimate pipeline (Build based on baseline non-imaging data)
1. Tasks (Classification(2/N)/Regression)
2. Models
3. Metrics
Hyper and control parameters should be tweaked by config file(s)
Pass results and paths via json files between different pipelines

Name		Name	Last commit message	Last commit date
Latest commit History 55 Commits
bin		bin
deprecated		deprecated
doc		doc
pipe		pipe
rst/regression/1e-3		rst/regression/1e-3
src		src
.gitignore		.gitignore
M1Segmentation.m		M1Segmentation.m
M2Smooth.m		M2Smooth.m
README.md		README.md
data.ipynb		data.ipynb
fsl_seg.py		fsl_seg.py
fsl_smooth.py		fsl_smooth.py
hc.ipynb		hc.ipynb
hc_reg.py		hc_reg.py
multicalssification.ipynb		multicalssification.ipynb
multiclassification_split.ipynb		multiclassification_split.ipynb
npptest.ipynb		npptest.ipynb
pipe.ipynb		pipe.ipynb
prototype.ipynb		prototype.ipynb
roi.ipynb		roi.ipynb
split.ipynb		split.ipynb
stats.ipynb		stats.ipynb
test.ipynb		test.ipynb
voxelwise.ipynb		voxelwise.ipynb
xgb.ipynb		xgb.ipynb

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