A comparison between machine learning to predict brain age

Different algorithms have been used to predict brain age from structural images. However, every study uses different algorithms on different datasets, making it difficult to compare the results among each other. This project aimed to bridge this gap and rigorously compare the most commonly used algorithms to predict brain age and to compare the impact of using different inputs on the precision of the analysis.