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A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies., , , , , , , , и . Comput. Medical Imaging Graph., 36 (4): 281-293 (2012)Domains of physical activity and brain volumes: A population-based study., , , , , , , , , и 2 other автор(ы). NeuroImage, (2017)Segmentierung von Brustvolumina in Magnetresonanztomographiedaten unter der Verwendung von Deep Learning., , , , и . Bildverarbeitung für die Medizin, стр. 182-187. Springer Vieweg, (2018)A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts., , , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (10): 1627-1633 (2019)A fast global variational bias field correction method for MR images., , , , , и . ISPA, стр. 667-671. IEEE, (2013)Automated Breast Volume of Interest Selection by Analysing Breast-Air Boundaries in MRI., , , и . Bildverarbeitung für die Medizin, стр. 11-16. Springer, (2015)An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images., , , , , , , и . Comput. Medical Imaging Graph., (2016)Pharynx Segmentation from MRI Data for Analysis of Sleep Related Disoders., , , , и . ISVC (1), том 8033 из Lecture Notes in Computer Science, стр. 20-29. Springer, (2013)3D Regression Heat Map Analysis of Population Study Data, , , , , , и . IEEE Transactions on Visualization and Computer Graphics (TVCG), 22 (1): 81-90 (2015)Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples., , , , , , , , , и 2 other автор(ы). NeuroImage, (2015)