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De Plaen, Joël J.F.G., Koks, Elco E., Ward, Philip J.
Veröffentlicht in: De Plaen , J J F G , Koks , E E & Ward , P J 2024 , ' Towards an open pipeline for the detection of critical infrastructure from satellite imagery—a case study on electrical substations in The Netherlands ' , Environmental Research: Infrastructure and Sustainability , vol. 4 , no. 3 , 035009 , pp. 1-16 . https://doi.org/10.1088/2634-4505/ad63c9;
2024
Veröffentlicht in: De Plaen , J J F G , Koks , E E & Ward , P J 2024 , ' Towards an open pipeline for the detection of critical infrastructure from satellite imagery—a case study on electrical substations in The Netherlands ' , Environmental Research: Infrastructure and Sustainability , vol. 4 , no. 3 , 035009 , pp. 1-16 . https://doi.org/10.1088/2634-4505/ad63c9;
2024
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Mateus, Pedro, Moonen, Justine, Beran, Magdalena, Jaarsma, Eva, van der Landen, Sophie M, Heuvelink, Joost, Birhanu, Mahlet, Harms, Alexander G J, Bron, Esther, Wolters, Frank J, Cats, Davy, Mei, Hailiang, Oomens, Julie, Jansen, Willemijn, Schram, Miranda T, Dekker, Andre, Bermejo, Inigo
Veröffentlicht in: Mateus , P , Moonen , J , Beran , M , Jaarsma , E , van der Landen , S M , Heuvelink , J , Birhanu , M , Harms , A G J , Bron , E , Wolters , F J , Cats , D , Mei , H , Oomens , J , Jansen , W , Schram , M T , Dekker , A & Bermejo , I 2024 , ' Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model : A Netherlands consortium of dementia cohorts case study ' , Journal of biomedical informatics , vol. 155 , 104661 . https://doi.org/10.1016/j.jbi.2024.104661;
2024
Veröffentlicht in: Mateus , P , Moonen , J , Beran , M , Jaarsma , E , van der Landen , S M , Heuvelink , J , Birhanu , M , Harms , A G J , Bron , E , Wolters , F J , Cats , D , Mei , H , Oomens , J , Jansen , W , Schram , M T , Dekker , A & Bermejo , I 2024 , ' Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model : A Netherlands consortium of dementia cohorts case study ' , Journal of biomedical informatics , vol. 155 , 104661 . https://doi.org/10.1016/j.jbi.2024.104661;
2024
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Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands:CVON-AI consortium
Benjamins, J W, van Leeuwen, K, Hofstra, L, Rienstra, M, Appelman, Y, Nijhof, W, Verlaat, B, Everts, I, den Ruijter, H M, Isgum, I, Leiner, T, Vliegenthart, R, Asselbergs, F W, Juarez-Orozco, L E, van der Harst, P
Veröffentlicht in: Benjamins , J W , van Leeuwen , K , Hofstra , L , Rienstra , M , Appelman , Y , Nijhof , W , Verlaat , B , Everts , I , den Ruijter , H M , Isgum , I , Leiner , T , Vliegenthart , R , Asselbergs , F W , Juarez-Orozco , L E & van der Harst , P 2019 , ' Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands : CVON-AI consortium ' , Netherlands Heart Hournal , vol. 27 , no. 9 , pp. 414-425 . https://doi.org/10.1007/s12471-019-1281-y;
2019
Veröffentlicht in: Benjamins , J W , van Leeuwen , K , Hofstra , L , Rienstra , M , Appelman , Y , Nijhof , W , Verlaat , B , Everts , I , den Ruijter , H M , Isgum , I , Leiner , T , Vliegenthart , R , Asselbergs , F W , Juarez-Orozco , L E & van der Harst , P 2019 , ' Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands : CVON-AI consortium ' , Netherlands Heart Hournal , vol. 27 , no. 9 , pp. 414-425 . https://doi.org/10.1007/s12471-019-1281-y;
2019
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