TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.
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Updated
Apr 11, 2024 - Python
TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.
Official implementation of "SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions".
Github Repository for the paper "Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study" - BIBM 2023
Same-scan face age and brain age from structural MRI: longitudinal robustness, avatar-to-MRI QC, and evidence-aware evaluation.
Estimate brain age from resting-state EEG using spectral features.
Stima dell'età cerebrale da risonanze MRI 3D: confronto tra Machine Learning classico e CNN 3D, addestrati interamente su CPU. Include interfaccia Streamlit con interpretabilità Grad-CAM.
Fast, versatile, 3D multi-modal MRI brain age prediction network
PyTorch SFCN experiments for age-bin classification across real and generated MRI domains. The project compares real-to-generated and generated-to-real generalization with balanced age-by-sex sampling.
PyTorch four-quadrant SFCN framework for comparing real and generated MRI in age-bin classification experiments.
Interactive dashboard for epigenetic and brain age associations across development — MIND Consortium
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