AlyssaAmod

AlyssaAmod's Stars

• AlyssaAmod/DeepBrainNet

  Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanning different studies, scanners, ages, ethnicities and geographic locations around the world.

  1

• AlyssaAmod/3D-augmentation-techniques

  Chechink the performance of different augmentation techniques on the BraTS 2020 data.

  1

• wwu-mmll/photonai_graph

  Photon Graph is an extension for the PHOTON framework that allows for the use of machine learning based on graphs.

  Language:Python101

• AlexandreAbraham/pypreprocess

  Preprocessing scripts for neuro imaging

  Language:Python32

• AlexandreAbraham/frontiers2013

  Paper for special issue "Python in Neurosciences II"

  Language:TeX3018

• nipreps/mriqc

  Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

  Language:Python302132

• athms/learning-from-brains

  Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.

  Language:Python9118

• SIMEXP/fmriprep-slurm

  Generate and run SLURM jobs on HPCs

  Language:Python123

• nipreps/fmriprep

  fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

  Language:HTML641296

• nilearn/nilearn

  Machine learning for NeuroImaging in Python

  Language:Python1.2k616

• epfml/ML_course

  EPFL Machine Learning Course, Fall 2024

  Language:Jupyter Notebook1.3k916

• ThomasYeoLab/CBIG

  Language:MATLAB615390

• aabrol/SMLvsDL

  Language:Python115

• htwangtw/fmriprep-qc

  Lightweight QC for fMRIPrep outputs

  1

• rpomponio/neuroHarmonize

  Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).

  Language:Python8529

• neurreps/awesome-neural-geometry

  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

  93462