weiziyoung / Predicting_brain_ageLinks
Supplement code for my master thesis:Predicting brain age from neuroimaging using Machine Learning and Deep Learning
☆32Updated last year
Alternatives and similar repositories for Predicting_brain_age
Users that are interested in Predicting_brain_age are comparing it to the libraries listed below
Sorting:
- TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.☆66Updated last year
- 3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).☆64Updated 3 years ago
- Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanni…☆52Updated 4 years ago
- Neuroimaging based brain age prediction using 3D Dense-net☆16Updated 2 years ago
- Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.☆153Updated 9 months ago
- ☆33Updated 10 months ago
- This will contain the code of our publications about brain age estimation using deep learning.☆24Updated 3 weeks ago
- Harmonization of multi-site imaging data with ComBat (Python)☆140Updated 2 years ago
- Code for analysis of ADNI data☆37Updated 2 years ago
- A radiomics tool with a variety of brain MRI processing functions, including affine registration, hippocampus segmentation and feature ca…☆27Updated 3 years ago
- Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variabl…☆103Updated this week
- Our pre-processed MRI and PET images from ADNI-1/ADNI-2☆35Updated 3 years ago
- Using machine learning techniques to predict the onset of Alzheimer's disease for participants in the ADNI study☆30Updated 4 years ago
- Global-local Transformer for brain age prediction☆41Updated 3 weeks ago
- iBEAT V2.0 Docker☆12Updated last month
- Framework for the reproducible classification of Alzheimer's disease using machine learning☆41Updated 3 years ago
- ☆35Updated last year
- Official code for "Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data" pa…☆21Updated 3 years ago
- RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.☆11Updated 11 months ago
- ☆38Updated 7 months ago
- Deep 3D CNNs for MRI Classification with Alzheimer's Disease And Grad-CAM for Visualization☆43Updated 2 years ago
- DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning☆87Updated last week
- Perivascular (PVS) or Virchow–Robin Spaces (VRS) segmentation with a 3D Unet☆29Updated 7 months ago
- ☆11Updated 2 years ago
- White matter tractography clustering and more...☆76Updated last week
- Notes for the dHCP data release☆14Updated last year
- Brain Hippocampus Segmentation. deprecated, use hippodeep_pytorch instead☆33Updated 5 years ago
- LST-AI - Deep Learning Ensemble for Accurate MS Lesion Segmentation☆35Updated 3 months ago
- Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on …☆38Updated 2 years ago
- Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context☆17Updated last year