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Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis.

, , , and . CBMS, page 1-7. IEEE Computer Society, (2014)

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Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study, , , , , , and . Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), page 88-93. (2018)Fully Automatic Renal Parenchyma Volumetry in LDA-based Probability Maps Using Variational Outer Cortex Edge Alignment Forces., , , and . IWBBIO, page 1207-1218. Copicentro Editorial, (2014)Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder., , , and . IDA, volume 8819 of Lecture Notes in Computer Science, page 120-130. Springer, (2014)ICE: Interactive Classification Rule Exploration on Epidemiological Data., , , , and . CBMS, page 606-611. IEEE Computer Society, (2017)Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis., , , and . CBMS, page 1-7. IEEE Computer Society, (2014)3D Regression Heat Map Analysis of Population Study Data, , , , , , and . IEEE Transactions on Visualization and Computer Graphics (TVCG), 22 (1): 81-90 (2015)Mining longitudinal epidemiological data to understand a reversible disorder, , , and . Proc. of the 13th Int. Symposium on Intelligent Data Analysis (IDA'14), Leuven, Belgium, Springer, (2014)accepted 08/2014, to appear.Subpopulation Discovery in Epidemiological Data with Subspace Clustering, , , and . Foundations of Computing and Decision Sciences (FCDS), 39 (4): 271-300 (2014)Fast Implementations of the Levelset Segmentation Method With Bias Field Correction in MR Images: Full Domain and Mask-Based Versions., , , , and . IbPRIA, volume 7887 of Lecture Notes in Computer Science, page 674-681. Springer, (2013)Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies, , , , , , , , , and 15 other author(s). Scientific Reports, 12 (1): 18733 (2022)