The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.
Benjamin PuccioJames P PooleyJohn S PellmanElise C TavernaRichard C CraddockPublished in: GigaScience (2016)
Skull-stripped anatomical images from the Neurofeedback sample are available for download from the Preprocessed Connectomes Project. The resulting brain masks can be used by researchers to improve preprocessing of the Neurofeedback data, as training and testing data for developing new skull-stripping algorithms, and for evaluating the impact on other aspects of MRI preprocessing. We have illustrated the utility of these data as a reference for comparing various automatic methods and evaluated the performance of the newly created library on independent data.
Keyphrases
- electronic health record
- big data
- deep learning
- machine learning
- magnetic resonance imaging
- quality improvement
- computed tomography
- data analysis
- multiple sclerosis
- artificial intelligence
- white matter
- brain injury
- diffusion weighted imaging
- blood brain barrier
- functional connectivity
- cone beam computed tomography