Before revision:  When trained on a set of stroke patients and healthy subjects, MultiPrior outperforms the state-of-the-art segmentation tools such as DeepMedic and SPM segmentation. The approach is further demonstrated on patients with disorders of consciousness , where we find that cognitive state correlates positively with gray-matter volumes and negatively with the extent of ventricles .
After revision:  When trained on a set of stroke patients and 4 healthy individuals which have been manually segmented. The analysis demonstrates the benefits of leveraging the three sources of prior information. We also provide an out-of-sample validation and clinical application of the approach on an additional 47 patients with disorders of consciousness , where we find that cognitive state correlates positively with gray-matter volumes and negatively with the extent of ventricles .