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Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration


Sep 06, 2021
Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten

* preprint submitted for peer review 

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A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning


Apr 16, 2021
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman


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Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization


Feb 08, 2021
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

* T.M.D. and M.G. contributed equally 

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Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms


Jan 23, 2020
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten

* 11 pages, 5 figures, SPIE Medical Imaging Conference - 2020 

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An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images


Jan 21, 2020
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten

* SPIE Medical Imaging Conference - 2020 

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Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms


Sep 09, 2019
Marco Virgolin, Ziyuan Wang, Tanja Alderliesten, Peter A. N. Bosman

* Currently submitted to SPIE Medical Imaging journal 

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On Explaining Machine Learning Models by Evolving Crucial and Compact Features


Jul 04, 2019
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman


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A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions


Apr 05, 2019
Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman

* Currently submitted for peer review to IEEE Transactions on Evolutionary Computation 

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