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Maximize uniformity summation heuristic (MUSH): a highly accurate simple method for intracranial delineation., , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72593N. SPIE, (2009)MultiCenter Reliability of Diffusion Tensor Imaging., , , , , , , , , and 7 other author(s). Brain Connect., 2 (6): 345-355 (2012)Automated brain segmentation using neural networks., , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61443Q. SPIE, (2006)Fully automated analysis using BRAINS: AutoWorkup., , , , , , and . NeuroImage, 54 (1): 328-336 (2011)Robust automated constellation-based landmark detection in human brain imaging., , and . NeuroImage, (2018)A predictive model for kidney transplant graft survival using machine learning., , , and . CoRR, (2020)Longitudinal subcortical segmentation with deep learning., , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Multi-agent reinforcement learning pipeline for anatomical landmark detection in minipigs., , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Generalizing MRI Subcortical Segmentation to Neurodegeneration., , , , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center Longitudinal Human MRI Analysis Using High Performance/Throughput Computing Resources., , , and . CLIP@MICCAI, volume 9401 of Lecture Notes in Computer Science, page 54-61. Springer, (2015)