bijiuni / brain_ageLinks
A deep learning model to predict individual brain ages from MRI datasets
☆19Updated 6 years ago
Alternatives and similar repositories for brain_age
Users that are interested in brain_age are comparing it to the libraries listed below
Sorting:
- Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanni…☆55Updated 5 years ago
- Code for analysis of ADNI data☆38Updated 2 years ago
- Framework for the reproducible classification of Alzheimer's disease using machine learning☆41Updated 3 years ago
- 3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).☆66Updated 3 years ago
- Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.☆44Updated last year
- Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.☆162Updated last year
- Master thesis: Convolutional Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from 3D Brain MRI Im…☆51Updated 5 years ago
- ABIDE Preprocessed Initiative☆195Updated 2 years ago
- TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.☆70Updated last year
- Do not use this old repository. Instead, use https://github.com/pnlbwh/luigi-pnlpipe & https://github.com/pnlbwh/pnlNipype☆13Updated 7 months ago
- ☆82Updated 4 years ago
- Framework for the reproducible processing of neuroimaging data with deep learning methods☆174Updated 2 weeks ago
- Neuroimaging based brain age prediction using 3D Dense-net☆17Updated 3 years ago
- Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease☆26Updated 2 years ago
- AICONSlab's hippocampal segmentation algorithm using CNNs☆31Updated last year
- A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.☆83Updated 2 years ago
- Self-supervised learning for understanding of morphological features in classification of fMRI images from the Alzheimer's Disease Neuroi…☆24Updated 6 years ago
- A radiomics tool with a variety of brain MRI processing functions, including affine registration, hippocampus segmentation and feature ca…☆29Updated 4 years ago
- Classification of Alzheimer disease using different machine learning models.☆31Updated 6 years ago
- ☆22Updated 5 years ago
- Harmonization of multi-site imaging data with ComBat (Python)☆151Updated 2 years ago
- Website, links, and resources to accompany https://arxiv.org/abs/1904.07950.☆28Updated 5 years ago
- Minimal scripts available for predictions on multiple datasets☆51Updated 6 years ago
- AssemblyNet: 3D Whole Brain MRI segmentation pipeline☆65Updated 2 years ago
- The project is used to do preprocessing on brain MR images by using Nipype.☆39Updated last year
- A Classification method is proposed to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impair…☆10Updated 7 years ago
- A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.☆46Updated 5 years ago
- White matter tractography clustering and more...☆80Updated 4 months ago
- Official code for "Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data" pa…☆21Updated 3 years ago
- Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variabl…☆113Updated this week