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Wiro J. Niessen
Erasmus University Rotterdam
73Publications
4H-index
73Citations
Publications 73
Newest
#1Sven J. van der Lee (EUR: Erasmus University Rotterdam)H-Index: 23
#2Maria J. Knol (EUR: Erasmus University Rotterdam)H-Index: 2
Last.Erik B. van den Akker (TU Delft: Delft University of Technology)H-Index: 13
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Brain lobar volumes are heritable but genetic studies are limited. We performed genome-wide association studies of frontal, occipital, parietal and temporal lobe volumes in 16,016 individuals, and replicated our findings in 8,789 individuals. We identified six genetic loci associated with specific lobar volumes independent of intracranial volume. Two loci, associated with occipital (6q22.32) and temporal lobe volume (12q14.3), were previously reported to associate with intracranial and hippocamp...
Abstract Advances in technology enable increasing amounts of data collection from individuals for biomedical research. Such technologies, for example, in genetics and medical imaging, have also led to important scientific discoveries about health and disease. The combination of multiple types of high-throughput data for complex analyses, however, has been limited by analytical and logistic resources to handle high-dimensional data sets. In our previous EU Joint Programme–Neurodegenerative Diseas...
International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet been performed. In this paper, we present a comprehensive analysis of biomedical image analysis challenges conducted up to now. We demonstrate the importance of challenges and show that the lack of quality control has critical consequences. First, re...
#1Hazel I. Zonneveld (EUR: Erasmus University Rotterdam)H-Index: 5
#2Gennady V. Roshchupkin (EUR: Erasmus University Rotterdam)H-Index: 4
Last.M. Arfan Ikram (EUR: Erasmus University Rotterdam)H-Index: 71
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#1Lieke H.H. Meeter (EUR: Erasmus University Rotterdam)H-Index: 7
#2Rebecca M. E. Steketee (EUR: Erasmus University Rotterdam)H-Index: 6
Last.Nicholas Olney (UCSF: University of California, San Francisco)H-Index: 2
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Background: Semantic dementia (SD) is a neurodegenerative disorder characterised by progressive language problems falling within the clinicopathological spectrum of frontotemporal lobar degeneration (FTLD). The development of disease-modifying agents may be facilitated by the relative clinical and pathological homogeneity of SD, but we need robust monitoring biomarkers to measure their efficacy. In different FTLD subtypes, neurofilament light chain (NfL) is a promising marker, therefore we inves...
#1Hakim C. Achterberg (EUR: Erasmus University Rotterdam)H-Index: 3
#2Lauge Sørensen (UCPH: University of Copenhagen)H-Index: 10
Last.Marleen de Bruijne (UCPH: University of Copenhagen)H-Index: 32
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textabstractHippocampal volume and shape are known magnetic resonance imaging biomarkers of neurodegeneration. Recently, hippocampal texture has been shown to improve prediction of dementia in patients with mild cognitive impairment, but it is unknown whether texture adds prognostic information beyond volume and shape and whether the predictive value extends to cognitively healthy individuals. Using 510 subjects from the Rotterdam Study, a prospective, population-based cohort study, we investiga...
#2Marius de GrootH-Index: 11
Last.Esther E. Bron (EUR: Erasmus University Rotterdam)H-Index: 12
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Tract-specific diffusion measures, as derived from brain diffusion MRI, have been linked to white matter tract structural integrity and neurodegeneration. As a consequence, there is a large interest in the automatic segmentation of white matter tract in diffusion tensor MRI data. Methods based on the tractography are popular for white matter tract segmentation. However, because of the limited consistency and long processing time, such methods may not be suitable for clinical practice. We therefo...
Last.Anita Lechner (University of Graz)H-Index: 18
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Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the generalizability of MRI-based classification probability scores to detect MCI on an individual basis within a general population. To determine classification p...
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