Localized measures of callosal atrophy are associated with late-life hypertension: AGES-Reykjavik Study. - Peter Harris; Dan A. Alcantara; Nina Amenta; Oscar L. Lopez; Guðný Eiríksdóttir; Sigurður Sigurðsson; Vilmundur Gudnason; Sarah Madson; Paul M. Thompson; Lenore J. Launer; Owen T. Carmichael (NeuroImage, 2008)

Brain tissue volumes in the general population of the elderly: The AGES-Reykjavik Study. - Sigurdur Sigurdsson; Thor Aspelund; Lars Forsberg; Jesper Fredriksson; Olafur Kjartansson; Bryndis Oskarsdottir; Palmi V. Jonsson; Gudny Eiriksdottir; Tamara B. Harris; Alex P. Zijdenbos; Mark A. van Buchem; Lenore J. Launer; et al. (NeuroImage, 2012)

Genetic improvement of runtime and its fitness landscape in a bioinformatics application. - Saemundur O. Haraldsson; John R. Woodward; Alexander E. I. Brownlee; Albert V. Smith; Vilmundur Gudnason (GECCO (Companion), 2017)

The use of predictive models in dynamic treatment planning. - Saemundur O. Haraldsson; Ragnheidur D. Brynjolfsdottir; John R. Woodward; Kristin Siggeirsdottir; Vilmundur Gudnason (ISCC, 2017)

The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain. - Lars Forsberg; Sigurdur Sigurdsson; Jesper Fredriksson; Asdis Egilsdottir; Bryndis Oskarsdottir; Olafur Kjartansson; Mark A. van Buchem; Lenore J. Launer; Vilmundur Gudnason; Alex P. Zijdenbos (Medical Image Anal., 2017)

Predicting changes in quality of life for patients in vocational rehabilitation. - Saemundur O. Haraldsson; Ragnheidur D. Brynjolfsdottir; Vilmundur Gudnason; Kristinn Tomasson; Kristin Siggeirsdottir (EAIS, 2018)

Large-scale parcellation of the ventricular system using convolutional neural networks. - Hans E. Atlason; Muhan Shao; Vidar Robertsson; Sigurdur Sigurdsson; Vilmundur Gudnason; Jerry L. Prince; Lotta Maria Ellingsen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder. - Hans E. Atlason; Áskell Löve; Sigurdur Sigurdsson; Vilmundur Gudnason; Lotta Maria Ellingsen (Image Processing, 2019)

Structural covariability hubs in old age. - Lars Forsberg; Sigurdur Sigurdsson; Lenore J. Launer; Vilmundur Gudnason; Fredrik Ullén (NeuroImage, 2019)

Automated femur segmentation from computed tomography images using a deep neural network. - Pall Asgeir Bjornsson; Benedikt Helgason; Halldor Pálsson; Sigurður Sigurðsson; Vilmundur Gudnason; Lotta Maria Ellingsen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads. - Xuewei Cao; Joyce H. Keyak; Sigurdur Sigurdsson; Chen Zhao; Weihua Zhou; Anqi Liu; Thomas Lang; Hong-Wen Deng; Vilmundur Gudnason; Qiuying Sha (CoRR, 2022)

Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening. - Pall Asgeir Bjornsson; Alexander Baker; Ingmar Fleps; Yves Pauchard; Halldor Pálsson; Stephen J. Ferguson; Sigurdur Sigurdsson; Vilmundur Gudnason; Benedikt Helgason; Lotta Maria Ellingsen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study. - Emma L. Twait; Constanza L. Andaur Navarro; Vilmundur Gudnason; Yi-Han Hu; Lenore J. Launer; Mirjam I. Geerlings (BMC Medical Informatics Decis. Mak., 2023)