Vilmundur Gudnason

According to our database, Vilmundur Gudnason authored at least 13 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2023

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., March, 2023

2022

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

2021

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

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2019

Structural covariability hubs in old age.

Lars Forsberg, Sigurdur Sigurdsson, Lenore J. Launer, Vilmundur Gudnason, Fredrik Ullén

NeuroImage, 2019

Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder.

Hans E. Atlason, Áskell Löve, Sigurdur Sigurdsson, Vilmundur Gudnason, Lotta Maria Ellingsen

Proceedings of the Medical Imaging 2019: Image Processing, 2019

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

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

Predicting changes in quality of life for patients in vocational rehabilitation.

Saemundur O. Haraldsson, Ragnheidur D. Brynjolfsdottir, Vilmundur Gudnason, Kristinn Tomasson, Kristin Siggeirsdottir

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

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

The use of predictive models in dynamic treatment planning.

Saemundur O. Haraldsson, Ragnheidur D. Brynjolfsdottir, John R. Woodward, Kristin Siggeirsdottir, Vilmundur Gudnason

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2012

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, Vilmundur Gudnason

NeuroImage, 2012

2008

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