Tanja Alderliesten

Luong, N.H, Alderliesten, T, Pieters, B.R, Bel, A, Niatsetski, Y, & Bosman, P.A.N. (2019). Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. Applied Soft Computing, 84. doi:10.1016/j.asoc.2019.105681

Bouter, P.A, Alderliesten, T, Pieters, B.R, Bel, A, Niatsetski, Y, & Bosman, P.A.N. (2019). GPU-accelerated bi-objective treatment planning for prostate high-dose-rate brachytherapy. Medical Physics. doi:10.1002/mp.13681

Pirpinia, K, Bosman, P.A.N, Sonke, J.-J, van Herk, M, & Alderliesten, T. (2019). Evolutionary machine learning for multi-objective class solutions in medical deformable image registration. Special Issue: Evolutionary Algorithms in Health Technologies, 12(5). doi:10.3390/a12050099

Wang, Z, Balgobind, B.V, Virgolin, M, Dijk, van, I.W.E.M, Wiersma, J, Ronckers, C.M, … Alderliesten, T. (2019). How do patient characteristics and anatomical features correlate to accuracy of organ dose reconstruction for Wilms' tumor radiation treatment plans when using a surrogate patient's CT scan?. Journal of Radiological Protection, 39, 598–619. doi:10.1088/1361-6498/ab1796

van der Meer, M.C, Bosman, P.A.N, Pieters, B.R, Niatsetski, Y, van Wieringen, N, Alderliesten, T, & Bel, A. (2019). Sensitivity of dose-volume indices to computation settings in high-dose-rate prostate brachytherapy treatment plan evaluation. Journal of Applied Clinical Medical Physics, 20(4), 66–74. doi:10.1002/acm2.12563

Wang, Z, Virgolin, M, Bosman, P.A.N, Balgobind, B.V, Bel, A, & Alderliesten, T. (2019). Automatic radiotherapy plan emulation for 3D dose reconstruction to enable big data analysis for historically treated patients. In Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications. doi:10.1117/12.2512758

Pirpinia, K, Bosman, P.A.N, Sonke, J.-J, van Herk, M, & Alderliesten, T. (2019). Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. In Medical Imaging 2019: Image Processing. doi:10.1117/12.2512760

Maree, S.C, Luong, N.H, Kooreman, E.S, van Wieringen, N, Bel, A, Hinnen, K.A, … Alderliesten, T. (2019). Evaluation of bi-objective treatment planning for high-dose-rate prostate brachytherapy—A retrospective observer study. Brachytherapy. doi:10.1016/j.brachy.2018.12.010

Pirpinia, K, Bosman, P.A.N, Loo, C.E, Russell, N.S, van Herk, M, & Alderliesten, T. (2018). Simplex-based navigation tool for a posteriori selection of the preferred deformable image registration outcome from a set of trade-off solutions obtained with multiobjective optimization for the case of breast MRI. Journal of Medical Imaging, 5(4). doi:10.1117/1.JMI.5.4.045501

Bouter, P.A, Alderliesten, T, Bel, A, Witteveen, C, & Bosman, P.A.N. (2018). Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 1199–1206). doi:10.1145/3205455.3205610