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Fletta eftir höfundi "Ellingsen, Lotta María"

Fletta eftir höfundi "Ellingsen, Lotta María"

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    Brain age prediction using deep learning uncovers associated sequence variants 
    Jónsson, Benedikt Atli; Bjornsdottir, Gyda; Thorgeirsson, Thorgeir; Ellingsen, Lotta María; Walters, G. Bragi; Gudbjartsson, Daniel; Stefansson, Hreinn; Stefansson, Kari; Ulfarsson, Magnus (Springer Science and Business Media LLC, 2019-11-27)
    Machine learning algorithms can be trained to estimate age from brain structural MRI. The difference between an individual’s predicted and chronological age, predicted age difference (PAD), is a phenotype of relevance to aging and brain disease. Here, ...
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    Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly 
    Shao, Muhan; Han, Shuo; Carass, Aaron; Li, Xiang; Blitz, Ari M.; Shin, Jaehoon; Prince, Jerry L.; Ellingsen, Lotta María (Elsevier BV, 2019)
    Numerous brain disorders are associated with ventriculomegaly, including both neuro-degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the ventricular system is important for these conditions to help understand the pathogenesis ...
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    SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder 
    Atlason, Hans; Love, Askell; Sigurdsson, Sigurdur; Gudnason, Vilmundur; Ellingsen, Lotta María (Elsevier BV, 2019)
    White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs is important to help doctors make diagnoses and evaluate prognosis of their ...