Big Data in radiation therapy: challenges and opportunities

Por Lustberg, Tim, van Soest, Johan, Jochems, Arthur, Deist, Timo, van Wijk, Yvonka, Walsh, Sean, Lambin, Philippe, Dekker, Andre
Publicado no Br J Radiol (2017)

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT

Por Deist, Timo M., Jochems, A., van Soest, Johan, Nalbantov, Georgi, Oberije, Cary, Walsh, Seán, Eble, Michael, Bulens, Paul, Coucke, Philippe, Dries, Wim, Dekker, Andre, Lambin, Philippe
Publicado no Clin Transl Radiat Oncol (2017)

Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries

Por Jochems, Arthur, Deist, Timo M., El Naqa, Issam, Kessler, Marc, Mayo, Chuck, Reeves, Jackson, Jolly, Shruti, Matuszak, Martha, Ten Haken, Randall, van Soest, Johan, Oberije, Cary, Faivre-Finn, Corinne, Price, Gareth, de Ruysscher, Dirk, Lambin, Philippe, Dekker, Andre
Publicado no Int J Radiat Oncol Biol Phys (2017)

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Por Deist, Timo M., Dankers, Frank J. W. M., Valdes, Gilmer, Wijsman, Robin, Hsu, I‐Chow, Oberije, Cary, Lustberg, Tim, van Soest, Johan, Hoebers, Frank, Jochems, Arthur, El Naqa, Issam, Wee, Leonard, Morin, Olivier, Raleigh, David R., Bots, Wouter, Kaanders, Johannes H., Belderbos, José, Kwint, Margriet, Solberg, Timothy, Monshouwer, René, Bussink, Johan, Dekker, Andre, Lambin, Philippe
Publicado no Med Phys (2018)