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Automated femur segmentation from computed tomography images using a deep neural network., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Large-scale parcellation of the ventricular system using convolutional neural networks., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109530N. SPIE, (2019)Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder., , , , and . CoRR, (2018)Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening., , , , , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (2): 253-265 (March 2023)Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder., , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491H. SPIE, (2019)Genetic improvement of runtime and its fitness landscape in a bioinformatics application., , , , and . GECCO (Companion), page 1521-1528. ACM, (2017)Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries, , , , , , , , , and 91 other author(s). Nature, 612 (7938): E7-E7 (2022)Predicting changes in quality of life for patients in vocational rehabilitation., , , , and . EAIS, page 1-8. IEEE, (2018)Structural covariability hubs in old age., , , , and . NeuroImage, (2019)The use of predictive models in dynamic treatment planning., , , , and . ISCC, page 242-247. IEEE Computer Society, (2017)