Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop

Keyphrases

• Obesity 100%
• Magnetic Resonance Imaging 100%
• Metabolic Disorders 100%
• Singapore 66%
• Brown Adipose Tissue 66%
• Recent Advances 33%
• Neural Network 33%
• Machine Learning Applications 33%
• Technical Development 33%
• United Kingdom 33%
• Disease Prevalence 33%
• Population-based 33%
• Austria 33%
• Germany 33%
• Switzerland 33%
• Skeletal muscle 33%
• Diabetes 33%
• China 33%
• Japan 33%
• Acquisition Method 33%
• Canada 33%
• United States 33%
• Australia 33%
• Netherlands 33%
• Reconstruction Method 33%
• Big Data Research 33%
• Adipose Tissue 33%
• MRI Acquisition 33%
• MRI Reconstruction 33%
• Hong Kong 33%
• Sweden 33%
• South Korea 33%
• Radiomics 33%
• Neonate 33%
• Bone Marrow 33%
• Belgium 33%
• Insulin Resistance 33%
• Fetus 33%
• Methodological Development 33%
• Multidisciplinary Groups 33%
• Placenta 33%
• Population Health 33%
• Nutritional Epidemiology 33%
• Indonesia 33%
• Philippines 33%
• Malaysia 33%
• Health Development 33%
• Tissue Quantification 33%
• Exercise Physiology 33%
• Liver Elastography 33%
• X-nuclei 33%
• Scientific Abstracts 33%
• Machine Learning Network 33%
• Nutrition Physiology 33%
• Proton Density Fat Fraction 33%
• Scientific Program 33%
• Muscle-bone 33%
• Multiparametric Data 33%
• Liver Analysis 33%

Medicine and Dentistry

• Magnetic Resonance Imaging 100%
• Water-Electrolyte Imbalance 100%
• Brown Adipose Tissue 66%
• Disease 33%
• Prevalence 33%
• Diabetes 33%
• Clinician 33%
• Elastography 33%
• Adipose Tissue 33%
• Insulin Resistance 33%
• Neonate 33%
• Placenta 33%
• Radiomics 33%
• Population Health 33%
• Exercise Physiology 33%
• Genetic Epidemiology 33%
• Nutrition 33%
• Skeletal Muscle 33%