ustc-bmec / Whole-Brain-Conv
A 3D Convolutional Neural Network for whole-brain fMRI decoding
☆19Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Whole-Brain-Conv
- predicting fmri activaties from connectome☆15Updated 5 years ago
- Minimal scripts available for predictions on multiple datasets☆49Updated 5 years ago
- Brain decoding using graph convolutional network on fMRI time-series☆39Updated 4 years ago
- Pytorch implementation of 'Representation Learning of Resting State fMRI with Variational Autoencoder'☆26Updated 2 years ago
- Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.☆40Updated 6 months ago
- Pytorch implementation of BrainNetCNN (Kawahara et al. 2016) + visualization method☆21Updated 6 years ago
- This repository will host scripts used to map structural and functional brain connectivity matrices for the UK biobank dataset.☆62Updated 11 months ago
- demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)☆37Updated 4 years ago
- ☆24Updated last year
- Utilities to use HCP and HCP-like data with nilearn and other Python tools☆41Updated last year
- Codes for the project "development of functional topography"☆19Updated 4 years ago
- resting-state fmri tools☆32Updated 3 years ago
- Code and materials for paper "Contrastive machine learning reveals the structure of neuroanatomical variation within Autism"☆13Updated 2 years ago
- Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.☆62Updated 3 years ago
- Code for predicting individual differences in behavioral variables (e.g., intelligence, personality) from resting-state fMRI functional c…☆36Updated last year
- Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)☆33Updated last year
- A Python implementation of the brain connectivity toolbox. **Not actively maintained.**☆30Updated 2 years ago
- fMRI Imaging Analysis☆42Updated this week
- Code to compute and test structural decoupling index (Preti & Van De Ville 2019)☆21Updated 5 years ago
- Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing☆23Updated last year
- Materials from fMRI data analysis course for cognitive science students.☆82Updated 2 years ago
- Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. conne…☆35Updated 6 years ago
- ☆59Updated last year
- ☆22Updated last year
- Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanni…☆43Updated 4 years ago
- Code for processing and analysis of resting state fMRI☆48Updated 4 years ago
- Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease☆26Updated last year
- This repository covers our developed algorithms and techniques for dynamic brain connectivity analysis.☆26Updated 9 months ago
- Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute☆73Updated last month