Tanja Alderliesten
Orcid: 0000-0003-4261-7511
According to our database1,
Tanja Alderliesten
authored at least 97 papers
between 2001 and 2024.
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Bibliography
2024
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them.
CoRR, 2024
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals.
CoRR, 2024
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data.
CoRR, 2024
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA.
CoRR, 2024
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration.
CoRR, 2024
2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
CoRR, 2023
Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing.
Evol. Comput., 2022
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning.
CoRR, 2022
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning.
CoRR, 2022
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
On genetic programming representations and fitness functions for interpretable dimensionality reduction.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Evolvability degeneration in multi-objective genetic programming for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
2021
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies.
ACM Trans. Evol. Learn. Optim., 2021
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions.
Evol. Comput., 2021
Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations.
Evol. Comput., 2021
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration.
CoRR, 2021
CoRR, 2021
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Swarm Evol. Comput., 2020
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer.
CoRR, 2020
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing.
CoRR, 2020
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.
CoRR, 2020
Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
An end-to-end deep learning approach for landmark detection and matching in medical images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms.
CoRR, 2019
CoRR, 2019
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions.
CoRR, 2019
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy.
Appl. Soft Comput., 2019
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration.
Algorithms, 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.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment.
Swarm Evol. Comput., 2018
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
CoRR, 2018
Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
T<sub>2</sub>-prepared velocity selective labelling: A novel idea for full-brain mapping of oxygen saturation.
NeuroImage, 2016
A first step toward uncovering the truth about weight tuning in deformable image registration.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
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.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
4D cone-beam CT imaging for guidance in radiation therapy: setup verification by use of implanted fiducial markers.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
2015
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.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates.
NeuroImage, 2014
Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults.
NeuroImage, 2014
A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Validation of 3D surface imaging in breath-hold radiotherapy for breast cancer: one central camera unit versus three camera units.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Incremental gaussian model-building in multi-objective EDAs with an application to deformable image registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2009
Proceedings of the Medical Imaging 2009: Visualization, 2009
2007
IEEE Trans. Medical Imaging, 2007
Modeling Friction, Intrinsic Curvature, and Rotation of Guide Wires for Simulation of Minimally Invasive Vascular Interventions.
IEEE Trans. Biomed. Eng., 2007
2005
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
2001
Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images.
Proceedings of the Medical Imaging 2001: Image Processing, 2001