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Tjong Kim Sang, E., Bollman, Marcel, Boschker, Remko, Casacuberta, Francisco, Dietz, Feike, Dipper, Stefanie, Domingo, Miguel, van der Goot, Rob, van Koppen, Marjo, Ljubesic, Nikola, Ostling, Robert, Petran, Florian, Pettersson, Eva, Scherrer, Yves, Schraagen, Marijn, Sevens, Leen, Tiedemann, Jorg, Vanallemeersch, Tom, Zervanou, Kalliopi
Veröffentlicht in: Tjong Kim Sang , E , Bollman , M , Boschker , R , Casacuberta , F , Dietz , F , Dipper , S , Domingo , M , van der Goot , R , van Koppen , M , Ljubesic , N , Ostling , R , Petran , F , Pettersson , E , Scherrer , Y , Schraagen , M , Sevens , L , Tiedemann , J , Vanallemeersch , T & Zervanou , K 2017 , ' The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation ' , Computational Linguistics in the Netherlands Journal , vol. 7 , 88 , pp. 53-64 . https://doi.org/10.1109/eScience.2017.60;
2017
Veröffentlicht in: Tjong Kim Sang , E , Bollman , M , Boschker , R , Casacuberta , F , Dietz , F , Dipper , S , Domingo , M , van der Goot , R , van Koppen , M , Ljubesic , N , Ostling , R , Petran , F , Pettersson , E , Scherrer , Y , Schraagen , M , Sevens , L , Tiedemann , J , Vanallemeersch , T & Zervanou , K 2017 , ' The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation ' , Computational Linguistics in the Netherlands Journal , vol. 7 , 88 , pp. 53-64 . https://doi.org/10.1109/eScience.2017.60;
2017
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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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Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J. M., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J. A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G. M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C., Hendriks, Stefaan H. A., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., van Osch, Frits, Aries, Marcel
Veröffentlicht in: Fleuren , L M , Tonutti , M , de Bruin , D P , Lalisang , R C A , Dam , T A , Gommers , D , Cremer , O L , Bosman , R J , Vonk , S J J , Fornasa , M , Machado , T , van der Meer , N J M , Rigter , S , Wils , E-J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Achterberg , S , Faber , H J , Karakus , A , Beukema , M , Entjes , R , de Jong , P , Houwert , T , Hovenkamp , H , Noorduijn Londono , R , Quintarelli , D , Scholtemeijer , M G , de Beer , A A , Dutch ICU Data Sharing Against Covid-19 Collaborators , van Osch , F & Aries , M 2021 , ' Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients : a multicenter machine learning study with highly granular data from the Dutch Data Warehouse ' , Intensive Care Medicine Experimental , vol. 9 , no. 1 , 32 . https://doi.org/10.1186/s40635-021-00397-5;
2021
Veröffentlicht in: Fleuren , L M , Tonutti , M , de Bruin , D P , Lalisang , R C A , Dam , T A , Gommers , D , Cremer , O L , Bosman , R J , Vonk , S J J , Fornasa , M , Machado , T , van der Meer , N J M , Rigter , S , Wils , E-J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Achterberg , S , Faber , H J , Karakus , A , Beukema , M , Entjes , R , de Jong , P , Houwert , T , Hovenkamp , H , Noorduijn Londono , R , Quintarelli , D , Scholtemeijer , M G , de Beer , A A , Dutch ICU Data Sharing Against Covid-19 Collaborators , van Osch , F & Aries , M 2021 , ' Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients : a multicenter machine learning study with highly granular data from the Dutch Data Warehouse ' , Intensive Care Medicine Experimental , vol. 9 , no. 1 , 32 . https://doi.org/10.1186/s40635-021-00397-5;
2021
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