Cover Image

Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Andreadis, Georgios, Munné, Eduard Ruiz, Bäck, Thomas H. W., Bosman, Peter A. N., Alderliesten, Tanja
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration
by: Andreadis, Georgios, et al.
Published: (2024)

Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
by: Andreadis, Georgios, et al.
Published: (2024)

A Better Multi-Objective GP-GOMEA -- But do we Need it?
by: Harrison, Joe, et al.
Published: (2025)

Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
by: Guijt, Arthur, et al.
Published: (2024)

Thinking Outside the Template with Modular GP-GOMEA
by: Harrison, Joe, et al.
Published: (2025)

Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression
by: Koch, Johannes, et al.
Published: (2026)

Introns and Templates Matter: Rethinking Linkage in GP-GOMEA
by: Koch, Johannes, et al.
Published: (2026)

A Step towards Interpretable Multimodal AI Models with MultiFIX
by: Malafaia, Mafalda, et al.
Published: (2025)

More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA
by: Scholman, Renzo J., et al.
Published: (2025)

Improving the efficiency of GP-GOMEA for higher-arity operators
by: Schlender, Thalea, et al.
Published: (2024)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
by: Rodriguez, C. J., et al.
Published: (2024)

GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis
by: Post, Jasper, et al.
Published: (2026)

Learning Discretized Bayesian Networks with GOMEA
by: Ha, Damy M. F., et al.
Published: (2024)

Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
by: Schlender, Thalea, et al.
Published: (2026)

Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals
by: Sijben, E. M. C., et al.
Published: (2024)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
by: Vermetten, Diederick, et al.
Published: (2024)

The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing
by: Bouter, Anton, et al.
Published: (2025)

Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization
by: Zheng, Ruihao, et al.
Published: (2025)

Diffusion-based Evolutionary Optimization for 3D Multi-Objective Molecular Generation
by: Sun, Ruiqing, et al.
Published: (2025)

Large-scale Benchmarking of Metaphor-based Optimization Heuristics
by: Vermetten, Diederick, et al.
Published: (2024)

Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)

End-user validation of BRIGHT with custom-developed graphical user interface applied to cervical cancer brachytherapy
by: Dickhoff, Leah R. M., et al.
Published: (2026)

A Weight Adaptation Trigger Mechanism in Decomposition-based Evolutionary Multi-Objective Optimisation
by: Han, Xiaofeng, et al.
Published: (2025)

Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning
by: Sun, Geng, et al.
Published: (2025)

A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026)

Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
by: Zhao, Zifan, et al.
Published: (2026)

Multi-Objective Covariance Matrix Adaptation MAP-Annealing
by: Zhao, Shihan, et al.
Published: (2025)

Adaptive Exploration in Lenia with Intrinsic Multi-Objective Ranking
by: Lorantos, Niko, et al.
Published: (2025)

An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization
by: Lei, Ru, et al.
Published: (2024)

TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
by: Huang, Qi, et al.
Published: (2024)

Evaluating Deep Neural Networks in Deployment (A Comparative and Replicability Study)
by: Pinconschi, Eduard, et al.
Published: (2024)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
by: de Nobel, Jacob, et al.
Published: (2024)

An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization
by: Falcón-Cardona, Jesús Guillermo, et al.
Published: (2024)

Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
by: Doerr, Benjamin, et al.
Published: (2025)

Random is Faster than Systematic in Multi-Objective Local Search
by: Liang, Zimin, et al.
Published: (2026)

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
by: Cheng, Ji, et al.
Published: (2025)

MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems
by: Rashed, Noor A., et al.
Published: (2024)

Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
by: Lyu, Huanbo, et al.
Published: (2025)

On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026)