PO-0886: Privacy-preserving, multi-centric machine learning across hospitals and countries: does it work?
Wiessler, W, Dekker, A, Nalbantov, G, Oberije, C, Eble, M, Dries, W, Janvary, L, Bulens, P, Krishnapuram, B, Lambin, P
Published in Radiotherapy and oncology (01.03.2013)
Published in Radiotherapy and oncology (01.03.2013)
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Journal Article
PD-0496: Multi-centric learning with a federated IT infrastructure: application to 2-year lung-cancer survival prediction
Dekker, A, Nalbantov, G, Oberije, C, Wiessler, W, Eble, M, Dries, W, Janvary, L, Bulens, P, Krishnapuram, B, Lambin, P
Published in Radiotherapy and oncology (01.03.2013)
Published in Radiotherapy and oncology (01.03.2013)
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Journal Article
PD-0571 RAPID LEARNING IN PRACTICE: VALIDATION OF AN EU POPULATION-BASED PREDICTION MODEL IN USA TRIAL DATA FOR H&N CANCER
Dekker, A, Wiessler, W, Xiao, Y, Krishnapuram, B, Rao, B, O'Meara, E, Velazquez, E, Galvin, J, Curran, W, Lambin, P
Published in Radiotherapy and oncology (01.05.2012)
Published in Radiotherapy and oncology (01.05.2012)
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Journal Article
PH-0381 Creating and Validating a Distributed RapidPlan Head and Neck ‘Super-Model’
Frizzelle, M., Lalli, N., Pediaditaki, A., Thomas, C., South, C., Jagadeesan, S., Adams, E., van der Straeten, R., Wiessler, W., Lynn, R.
Published in Radiotherapy and oncology (01.08.2021)
Published in Radiotherapy and oncology (01.08.2021)
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Journal Article