Automated multiclass tissue segmentation of clinical brain MRIs with lesions

•A U-Net incorporating spatial prior information can successfully segment 6 brain tissue types.•The U-Net was able to segment gray and white matter in the presence of lesions.•The U-Net surpassed the performance of its source algorithm in an external dataset.•Segmentations were produced in a hundredth of the time of its predecessor algorithm.