2007 - Fellow of the Indian National Academy of Engineering (INAE)
His primary areas of investigation include Quantitative susceptibility mapping, Magnetic resonance imaging, Nuclear magnetic resonance, Imaging phantom and Pathology. His Quantitative susceptibility mapping research integrates issues from Magnetic susceptibility, Magnetic field, Dipole and Algorithm. His study in Algorithm is interdisciplinary in nature, drawing from both Artificial intelligence and Computer vision.
His Magnetic resonance imaging study integrates concerns from other disciplines, such as Image enhancement, Neuroscience and Nuclear medicine. His study looks at the relationship between Nuclear magnetic resonance and fields such as Magnetic dipole, as well as how they intersect with chemical problems. The various areas that he examines in his Pathology study include Multiple sclerosis and Pancreas.
Yi Wang mainly focuses on Quantitative susceptibility mapping, Magnetic resonance imaging, Nuclear medicine, Nuclear magnetic resonance and Artificial intelligence. His research in Quantitative susceptibility mapping intersects with topics in Lesion, Pathology, Gradient echo, Imaging phantom and Multiple sclerosis. His Magnetic resonance imaging study deals with the bigger picture of Radiology.
His studies deal with areas such as Proton therapy, Digital subtraction angiography, Angiography, Steady-state free precession imaging and Receiver operating characteristic as well as Nuclear medicine. As part of his studies on Nuclear magnetic resonance, Yi Wang often connects relevant subjects like Magnetic susceptibility. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computer vision and Pattern recognition.
His main research concerns Quantitative susceptibility mapping, Artificial intelligence, Pattern recognition, Magnetic resonance imaging and Multiple sclerosis. His Quantitative susceptibility mapping study combines topics in areas such as Nuclear medicine, Pathology, Oxygen extraction, Internal medicine and Nuclear magnetic resonance. The study incorporates disciplines such as Healthy volunteers, Area under the curve and Receiver operating characteristic in addition to Nuclear medicine.
The concepts of his Nuclear magnetic resonance study are interwoven with issues in Substantia nigra, Magnetic susceptibility and Gradient echo. To a larger extent, Yi Wang studies Radiology with the aim of understanding Magnetic resonance imaging. His Multiple sclerosis research integrates issues from Lesion, Diffusion MRI and White matter.
His primary scientific interests are in Quantitative susceptibility mapping, Magnetic resonance imaging, Artificial intelligence, Nuclear medicine and Multiple sclerosis. His Quantitative susceptibility mapping research incorporates themes from Mr imaging, Pathology, Region of interest, Reproducibility and Nuclear magnetic resonance. His Magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Context, Medical physics and Neuroradiology.
He has included themes like Computer vision and Pattern recognition in his Artificial intelligence study. In general Nuclear medicine study, his work on Diagnostic quality often relates to the realm of High resolution, thereby connecting several areas of interest. His research investigates the link between Multiple sclerosis and topics such as Lesion that cross with problems in Translocator protein, Brain lesions, Attention network and Convolutional neural network.
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Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.
Yi Wang;Tian-Yu Liu.
Magnetic Resonance in Medicine (2015)
Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.
Ludovic de Rochefort;Tian Liu;Bryan Kressler;Jing Liu.
Magnetic Resonance in Medicine (2010)
The updated biology of hypoxia‐inducible factor
Samantha N Greer;Julie L Metcalf;Yi Wang;Michael Ohh.
The EMBO Journal (2012)
Respiratory motion of the heart: kinematics and the implications for the spatial resolution in coronary imaging
Yi Wang;Stephen J. Riederer;Richard L. Ehman.
Magnetic Resonance in Medicine (1995)
Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI.
Tian Liu;Pascal Spincemaille;Ludovic de Rochefort;Bryan Kressler.
Magnetic Resonance in Medicine (2009)
Navigator-echo-based real-time respiratory gating and triggering for reduction of respiration effects in three-dimensional coronary MR angiography.
Yi Wang;Phillip J. Rossman;Roger C. Grimm;Stephen J. Riederer.
Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map
Jing Liu;Tian Liu;Ludovic de Rochefort;James Ledoux.
A novel background field removal method for MRI using projection onto dipole fields (PDF).
Tian Liu;Ildar Khalidov;Ludovic de Rochefort;Pascal Spincemaille.
NMR in Biomedicine (2011)
Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging
Tian Liu;Jing Liu;Ludovic de Rochefort;Ludovic de Rochefort;Pascal Spincemaille.
Magnetic Resonance in Medicine (2011)
Cardiac motion of coronary arteries: variability in the rest period and implications for coronary MR angiography.
Yi Wang;Erez Vidan;Geoffrey W. Bergman.
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