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Maximize uniformity summation heuristic (MUSH): a highly accurate simple method for intracranial delineation., , , , и . Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 72593N. SPIE, (2009)MultiCenter Reliability of Diffusion Tensor Imaging., , , , , , , , , и 7 other автор(ы). Brain Connect., 2 (6): 345-355 (2012)Robust automated constellation-based landmark detection in human brain imaging., , и . NeuroImage, (2018)Automated brain segmentation using neural networks., , , и . Medical Imaging: Image Processing, том 6144 из SPIE Proceedings, стр. 61443Q. SPIE, (2006)A predictive model for kidney transplant graft survival using machine learning., , , и . CoRR, (2020)Longitudinal subcortical segmentation with deep learning., , , , , и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)Multi-agent reinforcement learning pipeline for anatomical landmark detection in minipigs., , , , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Generalizing MRI Subcortical Segmentation to Neurodegeneration., , , , , , и . MLCN/RNO-AI@MICCAI, том 12449 из Lecture Notes in Computer Science, стр. 139-147. Springer, (2020)Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1., , , , , , , , , и 122 other автор(ы). (мая 2017)nipy/nipype: 1.0.2., , , , , , , , , и 134 other автор(ы). (марта 2018)