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Journal of magnetic resonance imaging, ISSN 1053-1807, 08/2017, Volume 46, Issue 2, pp. 497 - 504
...) was determined with 1.5T water-fat magnetic resonance imaging (MRI) in 50 patients with coronary artery disease, cerebrovascular disease, or peripheral artery disease... 
Journal Article | cardiovascular disease | DIXON chemical‐shift magnetic resonance imaging | fat fraction | brown adipose tissue | obesity | metabolic dysfunction | DIXON chemical-shift magnetic resonance imaging | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Prospective Studies | Humans | Middle Aged | Risk Factors | Male | Adipose Tissue - diagnostic imaging | Adipose Tissue, White - diagnostic imaging | Obesity - metabolism | Diabetes Mellitus, Type 2 - diagnostic imaging | Magnetic Resonance Imaging | Cardiovascular Diseases - complications | Coronary Artery Disease - diagnostic imaging | Cardiovascular Diseases - diagnostic imaging | Subcutaneous Fat | Adipose Tissue, Brown - diagnostic imaging | Peripheral Arterial Disease - diagnostic imaging | Female | Aged | Diabetes Complications - diagnostic imaging | Diabetes Mellitus, Type 2 - complications | Obesity - diagnostic imaging | Type 2 diabetes | Adipose tissues | Obesity | Care and treatment | Comorbidity | Cardiac patients | Triglycerides | Diagnostic imaging | Coronary heart disease | Nuclear magnetic resonance--NMR | Adipose tissue | Diabetes mellitus | Coronary artery | Cardiovascular disease | Metabolism | Coronary artery disease | Patients | Confidence intervals | Magnetic resonance imaging | Clavicle | Cardiovascular diseases | Adipose tissue (brown) | Heart diseases | Metabolic disorders | Index Medicus
Journal Article
European radiology, ISSN 1432-1084, 10/2017, Volume 28, Issue 4, pp. 1345 - 1355
...) imaging-estimated proton density fat fraction (PDFF) and MR elastography (MRE) were obtained for 95 participants... 
Medicine & Public Health | Diagnostic Radiology | Magnetic resonance imaging | Internal Medicine | Interventional Radiology | Liver fibrosis | Imaging / Radiology | Non-alcoholic fatty liver disease | Ultrasound | Coronary disease | Neuroradiology | Multidetector computed tomography | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Non-alcoholic Fatty Liver Disease - pathology | Liver - pathology | Prospective Studies | Humans | Middle Aged | Magnetic Resonance Imaging - methods | Male | Diabetes Mellitus, Type 2 - diagnostic imaging | Non-alcoholic Fatty Liver Disease - complications | Liver Cirrhosis - diagnostic imaging | Pericardium - pathology | Coronary Disease - complications | Liver - diagnostic imaging | Female | Pericardium - diagnostic imaging | Diabetes Mellitus, Type 2 - complications | Severity of Illness Index | Non-alcoholic Fatty Liver Disease - diagnostic imaging | Cross-Sectional Studies | Liver Cirrhosis - complications | Adipose Tissue - pathology | Adipose Tissue - diagnostic imaging | Coronary Disease - pathology | Liver Cirrhosis - pathology | Diabetes Mellitus, Type 2 - pathology | Elasticity Imaging Techniques | Type 2 diabetes | CT imaging | Fatty liver | Fibrosis | Alcoholics | Diagnostic imaging | Coronary heart disease | Heart | Liver diseases | Medical imaging | Statistical analysis | Adipose tissue | Liver | Diabetes mellitus | Proton density (concentration) | Markers | Health risks | Risk | Cardiovascular disease | Coronary artery disease | Regression models | Computed tomography | Correlation analysis | Informed consent | Diabetes | Cardiovascular diseases | Diabetes mellitus (non-insulin dependent) | Heart diseases | Index Medicus
Journal Article
PloS one, ISSN 1932-6203, 10/2018, Volume 13, Issue 10, pp. e0205331 - e0205331
OBJECTIVES: Neuroimaging data suggest that pediatric overweight and obesity are associated with morphological alterations in gray matter (GM... 
Agricultural and Biological Sciences(all) | Biochemistry, Genetics and Molecular Biology(all) | Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Body Mass Index | Amygdala - diagnostic imaging | Pediatric Obesity - physiopathology | Amygdala - anatomy & histology | Humans | Putamen - diagnostic imaging | Male | Overweight - physiopathology | Hippocampus - diagnostic imaging | Cone-Beam Computed Tomography | Gray Matter - diagnostic imaging | Magnetic Resonance Imaging | Putamen - anatomy & histology | Gray Matter - anatomy & histology | Image Processing, Computer-Assisted | Overweight - diagnostic imaging | Adolescent | Female | Pediatric Obesity - diagnostic imaging | Hippocampus - anatomy & histology | Child | Physiological aspects | Complications and side effects | Development and progression | Research | Obesity in children | Amygdala (Brain) | Neuroimaging | Brain | Pediatrics | Neurosciences | Correlation | Amygdala | Segmentation | Image processing | Body weight | Neurobiology | Metabolic syndrome | Density | Substantia grisea | Epidemiology | Medical schools | Image acquisition | Body mass index | Alterations | Reinforcement | Longitudinal studies | Teenagers | Children | Neuropsychology | Adolescents | Public health | Age | Obesity | Young adults | Medical imaging | Magnetic resonance | Youth | Putamen | Nucleus accumbens | Studies | Neurology | Image segmentation | Brain research | Magnetic resonance imaging | Body mass | Correlation analysis | Body size | Diabetes | Morphometry | Females | Index Medicus | HNE Sensoriek en Eetgedrag | Sensoriek en eetgedrag | HNE Sensory Science and Eating Behaviour | Sensory Science and Eating Behaviour | VLAG | Chair Sensory Science and Eating Behaviour
Journal Article
Journal Article
European journal of endocrinology, ISSN 0804-4643, 06/2017, Volume 176, Issue 6, pp. 685 - 693
Journal Article
Journal Article
Epilepsy and Behavior, ISSN 1525-5050, 2017, Volume 69, pp. 104 - 109
Journal Article