Andrew Doyle's repositories
deep-mri-qc
This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.
deep-neurons
Deep Learning for automatic segmentation and classification of individual neurons in high-resolution histological scans.
alphacsc
Convolution dictionary learning for time-series
QLS_Projects
Assignments for QLS600
brainhack-website
Website for INCF 2018 Hackathon
brainsprite.js
Brainsprite.js turns a stack of brain slices into a 3D interactive viewer
cbrain
CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.
colorednoise
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
crn2017-teamMTL
Slides and misc info for the Montreal team at the CRN Coding Spring 2017 at Stanford
crocodoyle.ca
My personal website
fooof
Parameterizing neural power spectra - fitting oscillatory peaks and 1/f background.
hackathon2019
Website and projects for the OHBM Hackathon in Rome 2019
introML
Landing page for scikit learn and nilearn tutorials, originally curated for MAIN 2018 conference
mri-segtools
Segmentation tools for MRI images
nibabel
Python package to access a cacophony of neuro-imaging file formats
pybids
Python package to access BIDS datasets
receptormaps
Analysis of the Juelich receptor map data
teaching_material
slides and notebooks for tutorials and pitches
WinMuseEEG
MusingBrainLovers