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Items: 12

1.

GPU-accelerated bi-objective treatment planning for prostate high-dose-rate brachytherapy.

Bouter A, Alderliesten T, Pieters BR, Bel A, Niatsetski Y, Bosman PAN.

Med Phys. 2019 Sep;46(9):3776-3787. doi: 10.1002/mp.13681. Epub 2019 Jul 20.

PMID:
31236948
2.

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?

Wang Z, Balgobind BV, Virgolin M, van Dijk IWEM, Wiersma J, Ronckers CM, Bosman PAN, Bel A, Alderliesten T.

J Radiol Prot. 2019 Jun;39(2):598-619. doi: 10.1088/1361-6498/ab1796. Epub 2019 Apr 9.

PMID:
30965301
3.

Sensitivity of dose-volume indices to computation settings in high-dose-rate prostate brachytherapy treatment plan evaluation.

van der Meer MC, Bosman PAN, Pieters BR, Niatsetski Y, van Wieringen N, Alderliesten T, Bel A.

J Appl Clin Med Phys. 2019 Apr;20(4):66-74. doi: 10.1002/acm2.12563. Epub 2019 Mar 18.

4.

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.

Pirpinia K, Bosman PAN, Loo CE, Russell NS, van Herk MB, Alderliesten T.

J Med Imaging (Bellingham). 2018 Oct;5(4):045501. doi: 10.1117/1.JMI.5.4.045501. Epub 2018 Oct 30.

PMID:
30840735
5.

Evaluation of bi-objective treatment planning for high-dose-rate prostate brachytherapy-A retrospective observer study.

Maree SC, Luong NH, Kooreman ES, van Wieringen N, Bel A, Hinnen KA, Westerveld H, Pieters BR, Bosman PAN, Alderliesten T.

Brachytherapy. 2019 May - Jun;18(3):396-403. doi: 10.1016/j.brachy.2018.12.010. Epub 2019 Feb 2.

PMID:
30718176
6.

Are age and gender suitable matching criteria in organ dose reconstruction using surrogate childhood cancer patients' CT scans?

Wang Z, van Dijk IWEM, Wiersma J, Ronckers CM, Oldenburger F, Balgobind BV, Bosman PAN, Bel A, Alderliesten T.

Med Phys. 2018 Jun;45(6):2628-2638. doi: 10.1002/mp.12908. Epub 2018 Apr 24.

PMID:
29637577
7.

On the feasibility of automatically selecting similar patients in highly individualized radiotherapy dose reconstruction for historic data of pediatric cancer survivors.

Virgolin M, van Dijk IWEM, Wiersma J, Ronckers CM, Witteveen C, Bel A, Alderliesten T, Bosman PAN.

Med Phys. 2018 Apr;45(4):1504-1517. doi: 10.1002/mp.12802. Epub 2018 Mar 7.

PMID:
29430662
8.

The feasibility of manual parameter tuning for deformable breast MR image registration from a multi-objective optimization perspective.

Pirpinia K, Bosman PAN, Loo CE, Winter-Warnars G, Janssen NNY, Scholten AN, Sonke JJ, van Herk M, Alderliesten T.

Phys Med Biol. 2017 Jun 23;62(14):5723-5743. doi: 10.1088/1361-6560/aa6edc.

PMID:
28436922
9.

Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning.

Luong NH, Poutré H, Bosman PAN.

Evol Comput. 2018 Fall;26(3):471-505. doi: 10.1162/EVCO_a_00209. Epub 2017 Apr 7.

PMID:
28388221
10.

GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems.

Sadowski KL, Thierens D, Bosman PAN.

Evol Comput. 2018 Spring;26(1):117-143. doi: 10.1162/EVCO_a_00206. Epub 2017 Feb 16.

PMID:
28207296
11.

Benchmarking parameter-free AMaLGaM on functions with and without noise.

Bosman PA, Grahl J, Thierens D.

Evol Comput. 2013 Fall;21(3):445-69. doi: 10.1162/EVCO_a_00094. Epub 2013 Jun 19.

PMID:
23030365
12.

Towards a real-time minimally-invasive vascular intervention simulation system.

Alderliesten T, Bosman PA, Niessen WJ.

IEEE Trans Med Imaging. 2007 Jan;26(1):128-32.

PMID:
17243591

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