Tanja Alderliesten

148 papers A* 1A 32B 17C 1Journal 71Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
End-user validation of BRIGHT with custom-developed graphical user interface applied to cervical cancer brachytherapy.
CoRR
Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Laura A. Velema, Stephanie M. de Boer, Lavinia A. L. Verhagen, Danique L. J. Barten, Bradley R. Pieters, Lukas J. A. Stalpers, Renzo J. Scholman, Pedro M. Matos, Anton Bouter, Carien L. Creutzberg, Peter A. N. Bosman, Tanja Alderliesten
2026 J jnl
Introns and Templates Matter: Rethinking Linkage in GP-GOMEA.
CoRR
Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman
2025 — conf
A Better Multi-Objective GP-GOMEA - But do we Need it?
GECCO Companion
Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
2025 J jnl
A Better Multi-Objective GP-GOMEA - But do we Need it?
CoRR
Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
2025 — conf
A Step towards Interpretable Multimodal AI Models with MultiFIX.
GECCO Companion
Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman
2025 J jnl
A Step towards Interpretable Multimodal AI Models with MultiFIX.
CoRR
Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman
2025 J jnl
Automated and Interpretable Survival Analysis from Multimodal Data.
CoRR
Mafalda Malafaia, Peter A. N. Bosman, Coen Rasch, Tanja Alderliesten
2025 J jnl
Dealing with Segmentation Errors in Needle Reconstruction for MRI-Guided Brachytherapy.
CoRR
Vangelis Kostoulas, Arthur Guijt, Ellen M. Kerkhof, Bradley R. Pieters, Peter A. N. Bosman, Tanja Alderliesten
2025 J jnl
Iterated Population Based Training with Task-Agnostic Restarts.
CoRR
Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2025 A conf
More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA.
GECCO
Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman
2025 J jnl
More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA.
CoRR
Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman
2025 J jnl
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA.
CoRR
Georgios Andreadis, Eduard Ruiz Munné, Thomas H. W. Bäck, Peter A. N. Bosman, Tanja Alderliesten
2025 J jnl
PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models.
CoRR
Thalea Schlender, Catharina J. A. Romme, Yvette van der Linden, Luc R. C. W. van Lonkhuijzen, Peter A. N. Bosman, Tanja Alderliesten
2025 J jnl
Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models.
CoRR
Arthur Guijt, Dirk Thierens, Ellen M. Kerkhof, Jan Wiersma, Tanja Alderliesten, Peter A. N. Bosman
2025 J jnl
Thinking Outside the Template with Modular GP-GOMEA.
CoRR
Joe Harrison, Peter A. N. Bosman, Tanja Alderliesten
2025 J jnl
To Be Greedy, or Not to Be - That Is the Question for Population Based Training Variants.
Trans. Mach. Learn. Res.
Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration.
CoRR
Georgios Andreadis, Joas I. Mulder, Anton Bouter, Peter A. N. Bosman, Tanja Alderliesten
2024 — conf
Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary Algorithms.
PPSN (2)
Cedric J. Rodriguez, Peter A. N. Bosman, Tanja Alderliesten
2024 J jnl
Deep learning-based auto-segmentation of paraganglioma for growth monitoring.
CoRR
E. M. C. Sijben, Jeroen C. Jansen, M. de Ridder, Peter A. N. Bosman, Tanja Alderliesten
2024 — conf
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching.
GECCO Companion
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2024 A conf
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA.
GECCO
Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA.
CoRR
Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
2024 A conf
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals.
GECCO
Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2024 J jnl
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals.
CoRR
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2024 — conf
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation.
MIDL
Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten
2024 J jnl
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation.
CoRR
Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten
2024 A conf
Improving the efficiency of GP-GOMEA for higher-arity operators.
GECCO
Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
Improving the efficiency of GP-GOMEA for higher-arity operators.
CoRR
Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
2024 — conf
Learning Discretized Bayesian Networks with GOMEA.
PPSN (3)
Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
Learning Discretized Bayesian Networks with GOMEA.
CoRR
Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman
2024 — conf
Multi-Objective Learning for Deformable Image Registration.
MIDL
Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2024 J jnl
Multi-Objective Learning for Deformable Image Registration.
CoRR
Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2024 J jnl
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data.
CoRR
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
2024 — conf
Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression.
PPSN (1)
Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them.
CoRR
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2024 A conf
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation.
GECCO
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation.
CoRR
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2023 — conf
Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer.
Image-Guided Procedures
Cedric J. Rodriguez, Stephanie M. de Boer, Peter A. N. Bosman, Tanja Alderliesten
2023 J jnl
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
CoRR
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023 J jnl
Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer.
CoRR
Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten
2023 B conf
Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer.
Image Processing
Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten
2023 — conf
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
MIDL
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023 A conf
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images.
GECCO
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2023 J jnl
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images.
CoRR
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2023 A conf
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
GECCO
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2023 A* conf
Multi-Objective Population Based Training.
ICML
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2023 J jnl
Multi-Objective Population Based Training.
CoRR
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2023 C conf
Multi-objective Learning Using HV Maximization.
EMO
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
2023 A conf
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search.
ECAI
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2023 J jnl
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search.
CoRR
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2023 A conf
The Impact of Asynchrony on Parallel Model-Based EAs.
GECCO
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2023 J jnl
The Impact of Asynchrony on Parallel Model-Based EAs.
CoRR
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Adaptive Objective Configuration in Bi-Objective Evolutionary Optimization for Cervical Cancer Brachytherapy Treatment Planning.
CoRR
Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman
2022 A conf
Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning.
GECCO
Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning.
CoRR
Marco Virgolin, Andrea De Lorenzo, Tanja Alderliesten, Peter A. N. Bosman
2022 B conf
Data variation-aware medical image segmentation.
Image Processing
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
2022 J jnl
Data variation-aware medical image segmentation.
CoRR
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
2022 J jnl
Evolutionary Neural Cascade Search across Supernetworks.
CoRR
Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2022 A conf
Evolutionary neural cascade search across supernetworks.
GECCO
Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression.
CoRR
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022 A conf
Evolvability degeneration in multi-objective genetic programming for symbolic regression.
GECCO
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022 — conf
Gene-pool Optimal Mixing in Cartesian Genetic Programming.
PPSN (2)
Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Heed the Noise in Performance Evaluations in Neural Architecture Search.
CoRR
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022 — conf
Heed the noise in performance evaluations in neural architecture search.
GECCO Companion
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning.
CoRR
Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Mixed-Block Neural Architecture Search for Medical Image Segmentation.
CoRR
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2022 B conf
Mixed-block neural architecture search for medical image segmentation.
Image Processing
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images - Proof of Concept.
CoRR
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2022 A conf
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models.
GECCO
E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models.
CoRR
E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman
2022 B conf
Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept.
Image Processing
Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2022 J jnl
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization.
CoRR
Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
2022 — conf
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization.
PPSN (2)
Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
2022 A conf
On genetic programming representations and fitness functions for interpretable dimensionality reduction.
GECCO
Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
On genetic programming representations and fitness functions for interpretable dimensionality reduction.
CoRR
Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA.
CoRR
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022 A conf
Solving multi-structured problems by introducing linkage kernels into GOMEA.
GECCO
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing.
Evol. Comput.
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies.
ACM Trans. Evol. Learn. Optim.
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning.
CoRR
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021 A conf
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning.
GECCO
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations.
Evol. Comput.
Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration.
CoRR
Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2021 B conf
GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration.
CEC
Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions.
Evol. Comput.
Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2021 J jnl
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.
CoRR
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
2021 — ch.
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
Metaheuristics for Finding Multiple Solutions
Stefanus C. Maree, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2020 J jnl
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images.
CoRR
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
2020 B conf
An end-to-end deep learning approach for landmark detection and matching in medical images.
Image Processing
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
2020 — conf
Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization.
PPSN (2)
Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020 J jnl
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer.
CoRR
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020 A conf
Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
GECCO
Anton Bouter, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020 — conf
Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent.
PPSN (2)
Timo M. Deist, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020 B conf
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
Image Processing
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
2020 J jnl
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
CoRR
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
2020 J jnl
On explaining machine learning models by evolving crucial and compact features.
Swarm Evol. Comput.
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2020 J jnl
Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering.
CoRR
Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020 — conf
Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy.
PPSN (2)
Marjolein C. van der Meer, Arjan Bel, Yury Niatsetski, Tanja Alderliesten, Bradley R. Pieters, Peter A. N. Bosman
2020 J jnl
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.
CoRR
Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W. E. M. van Dijk, Jan Wiersma, Petra S. Kroon, Geert O. R. Janssens, Marcel van Herk, D. C. Hodgson, L. Zadravec Zaletel, C. R. N. Rasch, Arjan Bel, Peter A. N. Bosman, Tanja Alderliesten
2020 J jnl
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing.
CoRR
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2019 J jnl
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions.
CoRR
Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2019 J jnl
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization.
CoRR
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2019 A conf
Convolutional neural network surrogate-assisted GOMEA.
GECCO
Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman
2019 J jnl
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration.
Algorithms
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2019 B conf
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images.
Image Processing
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2019 J jnl
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy.
Appl. Soft Comput.
Ngoc Hoang Luong, Tanja Alderliesten, Bradley R. Pieters, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
2019 A conf
Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression.
GECCO
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2019 J jnl
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms.
CoRR
Marco Virgolin, Ziyuan Wang, Tanja Alderliesten, Peter A. N. Bosman
2019 J jnl
On Explaining Machine Learning Models by Evolving Crucial and Compact Features.
CoRR
Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2019 A conf
Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering.
GECCO
S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2018 J jnl
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment.
Swarm Evol. Comput.
Ngoc Hoang Luong, Tanja Alderliesten, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
2018 J jnl
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
CoRR
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018 A conf
Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA.
GECCO
Marjolein C. van der Meer, Bradley R. Pieters, Yury Niatsetski, Tanja Alderliesten, Arjan Bel, Peter A. N. Bosman
2018 A conf
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations.
GECCO
Ngoc Hoang Luong, Tanja Alderliesten, Peter A. N. Bosman
2018 A conf
Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems.
GECCO
Anton Bouter, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman
2018 J jnl
Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering.
CoRR
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018 A conf
Real-valued evolutionary multi-modal optimization driven by hill-valley clustering.
GECCO
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018 A conf
Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors.
GECCO
Marco Virgolin, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman
2017 B conf
A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality.
Image Processing
Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
2017 — conf
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms.
GECCO (Companion)
Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman
2017 A conf
Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
GECCO
Anton Bouter, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2017 A conf
Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm.
GECCO
Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman
2017 A conf
Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
GECCO
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2017 A conf
Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning.
GECCO
Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2017 — conf
Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection.
GECCO (Companion)
Anton Bouter, Kleopatra Pirpinia, Tanja Alderliesten, Peter A. N. Bosman
2017 A conf
The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm.
GECCO
Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman
2016 — conf
4D cone-beam CT imaging for guidance in radiation therapy: setup verification by use of implanted fiducial markers.
Image-Guided Procedures
Peng Jin, Niek van Wieringen, Maarten C. C. M. Hulshof, Arjan Bel, Tanja Alderliesten
2016 B conf
A first step toward uncovering the truth about weight tuning in deformable image registration.
Image Processing
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2016 B conf
Smart grid initialization reduces the computational complexity of multi-objective image registration based on a dual-dynamic transformation model to account for large anatomical differences.
Image Processing
Peter A. N. Bosman, Tanja Alderliesten
2016 J jnl
T
NeuroImage
Tanja Alderliesten, Jill B. De Vis, Petra M. A. Lemmers, Frank van Bel, Manon J. N. L. Benders, Jeroen Hendrikse, Esben Thade Petersen
2015 A conf
Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration.
GECCO
Kleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman
2015 B conf
Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization.
Image Processing
Tanja Alderliesten, Peter A. N. Bosman, Arjan Bel
2015 B conf
On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms.
Image Processing
Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2014 B conf
A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences.
Image Processing
Tanja Alderliesten, Peter A. N. Bosman, Jan-Jakob Sonke, Arjan Bel
2014 J jnl
Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates.
NeuroImage
Jill B. De Vis, E. T. Petersen, Tanja Alderliesten, Floris Groenendaal, Linda S. de Vries, Frank van Bel, Manon J. N. L. Benders, Jeroen Hendrikse
2014 J jnl
Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults.
NeuroImage
Tanja Alderliesten, Jill B. De Vis, Petra M. A. Lemmers, Frank van Bel, Manon J. N. L. Benders, Jeroen Hendrikse, E. T. Petersen
2013 — conf
3D surface imaging for guidance in breast cancer radiotherapy: organs at risk.
Image-Guided Procedures
Tanja Alderliesten, Anja Betgen, Corine van Vliet-Vroegindeweij, Peter Remeijer
2013 B conf
Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences.
Image Processing
Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
2013 — conf
Validation of 3D surface imaging in breath-hold radiotherapy for breast cancer: one central camera unit versus three camera units.
Image-Guided Procedures
Tanja Alderliesten, Anja Betgen, Corine van Vliet-Vroegindeweij, Peter Remeijer
2012 — conf
Application of 3D surface imaging in breast cancer radiotherapy.
Image-Guided Procedures
Tanja Alderliesten, Jan-Jakob Sonke, Anja Betgen, Joeri Honnef, Corine van Vliet-Vroegindeweij, Peter Remeijer
2012 A conf
Incremental gaussian model-building in multi-objective EDAs with an application to deformable image registration.
GECCO
Peter A. N. Bosman, Tanja Alderliesten
2012 B conf
Multi-objective optimization for deformable image registration: proof of concept.
Image Processing
Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
2009 — conf
Application of an image-guided navigation system in breast cancer localization.
Image-Guided Procedures
Tanja Alderliesten, Claudette Loo, Angelique T. E. F. Schlief, Anita Paape, Michiel van der Meer, Kenneth G. A. Gilhuijs
2007 J jnl
Modeling Friction, Intrinsic Curvature, and Rotation of Guide Wires for Simulation of Minimally Invasive Vascular Interventions.
IEEE Trans. Biomed. Eng.
Tanja Alderliesten, Maurits K. Konings, Wiro J. Niessen
2007 J jnl
Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System.
IEEE Trans. Medical Imaging
Tanja Alderliesten, Peter A. N. Bosman, Wiro J. Niessen
2005 — conf
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions.
GECCO Workshops
Peter A. N. Bosman, Tanja Alderliesten
2002 — conf
Simulation of Guide Wire Propagation for Minimally Invasive Vascular Interventions.
MICCAI (2)
Tanja Alderliesten, Maurits K. Konings, Wiro J. Niessen
2001 B conf
Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images.
Image Processing
Tanja Alderliesten, Wiro J. Niessen, Koen L. Vincken, J. B. Antoine Maintz, Floor Jansen, Onno van Nieuwenhuizen, Max A. Viergever