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An end-to-end deep learning approach for landmark detection and matching in medical images.

, , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131328. SPIE, (2020)

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Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms., , and . Advances in Metaheuristics for Hard Optimization, Springer, (2008)Model-based evolutionary algorithms: GECCO 2018 tutorial., and . GECCO (Companion), page 553-583. ACM, (2018)Learning and exploiting mixed variable dependencies with a model-based EA., , and . CEC, page 4382-4389. IEEE, (2016)Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning., , and . Evol. Comput., (2018)Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations., , and . Evol. Comput., 29 (1): 129-155 (2021)Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing., , and . Evol. Comput., 30 (3): 329-353 (2022)Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy., , , , , , , , , and 4 other author(s). CoRR, (2020)Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm., , and . IEEE Trans. Evol. Comput., 25 (2): 358-370 (2021)Model-Based Evolutionary Algorithms., and . GECCO (Companion), page 385-412. ACM, (2016)Model-Based Evolutionary Algorithms., and . GECCO (Companion), page 93-120. ACM, (2015)