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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)Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis., , , and . CBMS, page 1-7. IEEE Computer Society, (2014)ICE: Interactive Classification Rule Exploration on Epidemiological Data., , , , and . CBMS, page 606-611. IEEE Computer Society, (2017)Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder., , , and . IDA, volume 8819 of Lecture Notes in Computer Science, page 120-130. Springer, (2014)MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI., , , , , , , , , and 7 other author(s). MICCAI (13), volume 15972 of Lecture Notes in Computer Science, page 328-338. Springer, (2025)MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI., , , , , , , , , and 8 other author(s). CoRR, (February 2025)Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis, , , and . Expert Systems with Applications, 41 (11): 5405-5415 (September 2014)ESWA IMPACT FACTOR: 1.965 (2013).Automated Breast Volume of Interest Selection by Analysing Breast-Air Boundaries in MRI., , , and . Bildverarbeitung für die Medizin, page 11-16. Springer, (2015)Assessing the difficulty of annotating medical data in crowdworking with help of experiments, , , , , and . PLOS ONE, 16 (7): 1-26 (July 2021)