Meike W. Vernooij
Erasmus University Rotterdam
Internal medicineRadiologyPathologyMagnetic resonance imagingHyperintensityDiffusion MRIArtificial intelligencePsychologyCardiologyCognitionPattern recognitionRotterdam StudyDementiaWhite matterPopulationComputer scienceStrokeNeuroimagingMedicineSegmentation
Publications 464
#1Elena Pezzolo (University of Verona)H-Index: 1
#1Elena Pezzolo (University of Verona)H-Index: 6
Last. M. WakkeeH-Index: 5
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Abstract Background Based on increased cardio-metabolic comorbidities, inflammation and an overlap in genetics with Alzheimer’s disease, psoriasis patients may be at risk for cognitive dysfunction and dementia. Objective To compare cognition, magnetic resonance imaging (MRI)-markers and dementia risk in psoriasis and non-psoriasis participants in the population-based Rotterdam Study. Methods We identified 318 psoriatic and 9678 non-psoriatic participants (mean age: 66.1 years, 58% women). The as...
8 CitationsSource
#1J. Neitzel (Erasmus University Medical Center)
#2Rainer Malik (LMU: Ludwig Maximilian University of Munich)H-Index: 51
Last. Mohammad Arfan Ikram (Erasmus University Medical Center)H-Index: 24
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The functional architecture of the brain is composed of distinct networks, where higher system segregation, i.e. greater differentiation of such functional networks, is associated with better cognitive performance. Aging and many neurological diseases have been associated with reduced system segregation and thus cognitive impairment. The genetic basis and risk factors of system segregation are largely unknown. Here, we present the first genome-wide association study of fMRI-assessed system segre...
#1Gerda Bortsova (EUR: Erasmus University Rotterdam)H-Index: 9
#2Daniel BosH-Index: 25
Last. Marleen de BruijneH-Index: 32
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Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers manually delineated ICAC in non-contrast CT scans of 2,319 participants (mean age 69 (SD 7) years; 1154 women) of the Rotterdam Study, prospectively collected between 2003 and 2006. These data were used to retrospectively develop and validate a deep-learning-based method for automated ICAC delineation and volume measurement. To evaluate the ...
#1Bo Li (EUR: Erasmus University Rotterdam)H-Index: 3
#2Wiro J. Niessen (TU Delft: Delft University of Technology)H-Index: 87
Last. Esther E. Bron (EUR: Erasmus University Rotterdam)H-Index: 5
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This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear registration. Segmentation and registration are modeled using a convolutional neural network and optimized simultaneously for their mutual benefit. An objective function that optimizes spatial correspondence for the segmented structures across time-point...
1 CitationsSource
#1Małgorzata J. Lubczyńska (ISCIII: Carlos III Health Institute)H-Index: 4
#2Ryan L. Muetzel (EUR: Erasmus University Rotterdam)H-Index: 34
Last. Mònica GuxensH-Index: 54
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Abstract Background Studies investigating the relationship between exposure to air pollution and brain development using magnetic resonance images are emerging. However, most studies have focused only on prenatal exposures, and have included a limited selection of pollutants. Here, we aim to expand the current knowledge by studying pregnancy and childhood exposure to a wide selection of pollutants, and brain morphology in preadolescents. Methods We used data from 3133 preadolescents from a birth...
#1Lieke M. Kuiper (EUR: Erasmus University Rotterdam)
#2M. Kamran Ikram (EUR: Erasmus University Rotterdam)H-Index: 52
Last. Daniel Bos (EUR: Erasmus University Rotterdam)H-Index: 25
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BACKGROUND Arterial calcification, the hallmark of arteriosclerosis, has a widespread distribution in the human body with only moderate correlation among sites. Hitherto, a single measure capturing the systemic burden of arterial calcification was lacking. In this paper, we propose the C-factor as an overall measure of calcification burden. METHODS To quantify calcification in the coronary arteries, aortic arch, extra- and intracranial carotid arteries, and vertebrobasilar arteries, 2384 Rotterd...
#1Joyce van Arendonk (EUR: Erasmus University Rotterdam)
#2Pinar Yilmaz (EUR: Erasmus University Rotterdam)H-Index: 7
Last. Meike W. Vernooij (EUR: Erasmus University Rotterdam)H-Index: 72
view all 9 authors...
Abstract null null Brain pathology develops at different rates between individuals with similar burden of risk factors, possibly explained by brain resistance. We examined if education contributes to brain resistance by studying its influence on the association between vascular risk factors and brain pathology. null In 4111 stroke-free and dementia-free community-dwelling participants (62.9±10.7 years), we explored the association between vascular risk factors (hypertension and the Framingham St...
#4Wiro J. Niessen (EUR: Erasmus University Rotterdam)H-Index: 87
Abstract null null Data-driven disease progression models have provided important insight into the timeline of brain changes in AD phenotypes. However, their utility in predicting the progression of pre-symptomatic AD in a population-based setting has not yet been investigated. In this study, we investigated if the disease timelines constructed in a case-controlled setting, with subjects stratified according to APOE status, are generalizable to a population-based cohort, and if progression along...
BACKGROUND Meningiomas are the most frequent brain tumours occurring after pediatric cranial radiotherapy (CrRT). Data on course of disease, to inform clinical management of meningiomas, are sparse. This study reports the clinical characteristics of histologically confirmed meningiomas in childhood cancer survivors (CCS) in the Netherlands. METHODS In total, 6015 CCS from the Dutch Long-Term Effects After Childhood Cancer (LATER) cohort were eligible, including 1551 with prior CrRT. These CCS we...