SebastianPopescu / U-NET-for-LocalBrainAge-predictionLinks
Code and trained weights for upcoming paper "A U-NET model for Local Brain-Age"
☆16Updated 3 years ago
Alternatives and similar repositories for U-NET-for-LocalBrainAge-prediction
Users that are interested in U-NET-for-LocalBrainAge-prediction 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…☆54Updated 4 years ago
- Neuroimaging based brain age prediction using 3D Dense-net☆17Updated 3 years ago
- ☆37Updated 3 weeks ago
- TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.☆70Updated 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
- Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.☆158Updated 11 months ago
- Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variabl…☆108Updated this week
- The BRC Pipeline scripts are being released for processing magnetic resonance imaging (MRI) data. This processing pipeline could be appli…☆16Updated last week
- Harmonization of multi-site imaging data with ComBat (Python)☆147Updated 2 years ago
- ☆17Updated 5 years ago
- Pipeline for Analysing Lesions after Stroke (PALS) is a scalable and user-friendly toolbox designed to facilitate standardised analysis a…☆24Updated 4 months ago
- Neuro Imaging Chart of AI-based Imaging Biomarkers☆22Updated this week
- ☆40Updated 9 months ago
- Correcting Covariance Batch Effects (CovBat): Harmonization of mean and covariance for multi-site data☆25Updated 2 years ago
- A suite of brain PET processing pipelines☆14Updated 7 months ago
- A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!☆96Updated 5 months ago
- MNI152 Template☆44Updated 5 years ago
- DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning☆99Updated last month
- a tool to segment the hypothalamus and associated subunits on T1-weighted MRI scans☆26Updated 2 years ago
- Implementation of Combat harmonization method with scikit-learn compatible format☆23Updated 5 years ago
- Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease☆27Updated 2 years ago
- Jupyter notebooks for analyzing diffusion MRI data in order to calculate DTI, DKI, NODDI, SS3T-CSD, and MSMT-CSD modelled parametric maps☆14Updated last year
- 3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).☆66Updated 3 years ago
- ☆21Updated 9 months ago
- LST-AI - Deep Learning Ensemble for Accurate MS Lesion Segmentation☆38Updated 5 months ago
- Preprocessing of diffusion MRI☆162Updated last week
- Region- and voxel-based probabilistic mapping of whole-brain veins and arteries (densities and diameter) in the MNI space☆50Updated 3 years ago
- Perivascular (PVS) or Virchow–Robin Spaces (VRS) segmentation with a 3D Unet☆33Updated 9 months ago
- Harmonization of multi-site imaging data with ComBat☆301Updated 2 years ago
- structural analysis of neonatal brain MRI scans☆56Updated 4 years ago