Ralf Raumanns

Ralf Raumanns is a software engineer and data scientist with nearly 20 years of experience in R&D and medical applications at Philips and Maastricht University. He lectures at Fontys University Venlo and does PhD research at TU/e Eindhoven, and ITU Copenhagen, focusing on deep learning and fairness in medical diagnostics. He earned his Bachelor's degree in Computer Science and Master's degree in Data Science from Maastricht University.

References

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    Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning
    Ralf Raumanns, Gerard Schouten , Josien PW Pluim , and Veronika Cheplygina
    In Ethics and Fairness in Medical Imaging , 2024
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    ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
    Ralf Raumanns, Gerard Schouten , Max Joosten , Josien PW Pluim , and Veronika Cheplygina
    MELBA (Machine Learning for Biomedical Imaging), 2021
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  3. Risk of Training Diagnostic Algorithms on Data with Demographic Bias
    Samaneh Abbasi-Sureshjani , Ralf Raumanns, Britt EJ Michels , Gerard Schouten , and Veronika Cheplygina
    In Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) , 2020
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