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Browsing Iris by Department "Faculty of Electrical and Computer Engineering"

Browsing Iris by Department "Faculty of Electrical and Computer Engineering"

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    Blind Hyperspectral Unmixing using Autoencoders : A Critical Comparison 
    Pálsson, Burkni; Sveinsson, Jóhannes Rúnar; Úlfarsson, Magnús Örn (2022-01-01)
    Deep learning has shown to be a powerful tool and has heavily impacted the data-intensive field of remote sensing. As a result, the number of published deep learning-based spectral unmixing techniques is proliferating. Blind hyperspectral unmixing (HU) ...
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    A joint ventricle and WMH segmentation from MRI for evaluation of healthy and pathological changes in the aging brain 
    Atlason, Hans Emil; Löve, Áskell; Robertsson, Vidar; Blitz, Ari M.; Sigurdsson, Sigurdur; Guðnason, Vilmundur G; Ellingsen, Lotta María (2022-09-06)
    Age-related changes in brain structure include atrophy of the brain parenchyma and white matter changes of presumed vascular origin. Enlargement of the ventricles may occur due to atrophy or impaired cerebrospinal fluid (CSF) circulation. The co-occurrence ...
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    Multiomics study of nonalcoholic fatty liver disease 
    DBDS Genomic Consortium (2022-10-24)
    Nonalcoholic fatty liver (NAFL) and its sequelae are growing health problems. We performed a genome-wide association study of NAFL, cirrhosis and hepatocellular carcinoma, and integrated the findings with expression and proteomic data. For NAFL, we ...
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    Predicting the probability of death using proteomics 
    Eiriksdottir, Thjodbjorg; Ardal, Steinthor; Jonsson, Benedikt A.; Lund, Sigrun H.; Ivarsdottir, Erna V.; Norland, Kristjan; Ferkingstad, Egil; Stefansson, Hreinn; Jónsdóttir, Ingileif; Holm, Hilma; Rafnar, Thorunn; Saemundsdottir, Jona; Norddahl, Gudmundur L.; Þorgeirsson, Guðmundur; Gudbjartsson, Daniel F.; Sulem, Patrick; Thorsteinsdottir, Unnur; Stefansson, Kari; Úlfarsson, Magnús Örn (2021-06-18)
    Predicting all-cause mortality risk is challenging and requires extensive medical data. Recently, large-scale proteomics datasets have proven useful for predicting health-related outcomes. Here, we use measurements of levels of 4,684 plasma proteins ...
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    The sequences of 150,119 genomes in the UK Biobank 
    DBDS Genetic Consortium (2022-07-20)
    Detailed knowledge of how diversity in the sequence of the human genome affects phenotypic diversity depends on a comprehensive and reliable characterization of both sequences and phenotypic variation. Over the past decade, insights into this relationship ...