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Dickhoff, Leah R.M. (author), Scholman, R.J. (author), Barten, Danique L.J. (author), Kerkhof, Ellen M. (author), Roorda, Jelmen J. (author), Velema, Laura A. (author), Stalpers, Lukas J.A. (author), Pieters, Bradley R. (author), Bosman, P.A.N. (author), Alderliesten, T. (author)
PURPOSE: Without a clear definition of an optimal treatment plan, no optimization model can be perfect. Therefore, instead of automatically finding a single “optimal” plan, finding multiple, yet different near-optimal plans, can be an insightful approach to support radiation oncologists in finding the plan they are looking for. METHODS AND...
review 2024
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Deist, Timo M. (author), Grewal, M. (author), Dankers, Frank J.W.M. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Real-world problems are often multi-objective, with decision-makers unable to specify a priori which trade-off between the conflicting objectives is preferable. Intuitively, building machine learning solutions in such cases would entail providing multiple predictions that span and uniformly cover the Pareto front of all optimal trade-off...
conference paper 2023