What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
His main research concerns Nuclear magnetic resonance, Magnetic resonance imaging, Quantitative susceptibility mapping, Susceptibility weighted imaging and Neuroscience.
His Nuclear magnetic resonance study incorporates themes from White matter, Human brain, Oxygenation, In vivo and Anisotropy.
His White matter research integrates issues from Cerebral cortex, Basal ganglia, Temporal cortex and Visual cortex.
Jürgen R. Reichenbach has included themes like Venography, Nuclear medicine and Arteriovenous malformation in his Magnetic resonance imaging study.
Jürgen R. Reichenbach has researched Quantitative susceptibility mapping in several fields, including Magnetic susceptibility, Artificial intelligence, Pathology and Pattern recognition.
His Susceptibility weighted imaging research incorporates themes from Phase image, Contrast, Fluid-attenuated inversion recovery, Brain tumor and Voxel.
His most cited work include:
- Susceptibility weighted imaging (SWI). (1239 citations)
- Small vessels in the human brain : MR venography with deoxyhemoglobin as an intrinsic contrast agent (508 citations)
- Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? (506 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Magnetic resonance imaging, Nuclear magnetic resonance, Neuroscience, Nuclear medicine and Artificial intelligence.
His Magnetic resonance imaging study integrates concerns from other disciplines, such as Phase image, Biomedical engineering and Pathology.
His biological study deals with issues like Quantitative susceptibility mapping, which deal with fields such as Magnetic susceptibility.
His study in Neuroscience is interdisciplinary in nature, drawing from both White matter and Schizophrenia.
Many of his studies on Nuclear medicine apply to Contrast as well.
Jürgen R. Reichenbach combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence.
He most often published in these fields:
- Magnetic resonance imaging (24.12%)
- Nuclear magnetic resonance (21.11%)
- Neuroscience (18.34%)
What were the highlights of his more recent work (between 2016-2021)?
- Magnetic resonance imaging (24.12%)
- Neuroscience (18.34%)
- Nuclear magnetic resonance (21.11%)
In recent papers he was focusing on the following fields of study:
Jürgen R. Reichenbach mainly focuses on Magnetic resonance imaging, Neuroscience, Nuclear magnetic resonance, Quantitative susceptibility mapping and Artificial intelligence.
Jürgen R. Reichenbach interconnects Substantia nigra, In vivo and Volume rendering in the investigation of issues within Magnetic resonance imaging.
The various areas that he examines in his Neuroscience study include White matter and Grey matter.
His biological study spans a wide range of topics, including Motion, Correlation coefficient, Dentate nucleus, Magnetic susceptibility and Gadobutrol.
His research in Quantitative susceptibility mapping intersects with topics in Image resolution, Phase image, Pathology, Myelin and Neuroimaging.
His Artificial intelligence research includes elements of Computer vision and Pattern recognition.
Between 2016 and 2021, his most popular works were:
- Overview of quantitative susceptibility mapping. (119 citations)
- The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation - A biochemical and histological validation study. (42 citations)
- Luminomagnetic Eu3+- and Dy3+-doped hydroxyapatite for multimodal imaging. (33 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
Quantitative susceptibility mapping, Magnetic resonance imaging, Nuclear magnetic resonance, Neuroscience and Magnetic susceptibility are his primary areas of study.
His Quantitative susceptibility mapping research integrates issues from Image resolution, Phase image, Radius, Myelin and Neuroimaging.
His research integrates issues of Area under the curve, Toxicity, Reperfusion injury, Ischemia and Kidney transplantation in his study of Magnetic resonance imaging.
His work deals with themes such as Correlation coefficient, Dentate nucleus, Gadobutrol, Pediatric population and Contrast medium, which intersect with Nuclear magnetic resonance.
In the subject of general Neuroscience, his work in Forebrain, Cognition and Functional connectivity is often linked to Association, thereby combining diverse domains of study.
His Magnetic susceptibility study incorporates themes from Basal ganglia, Linear combination, Luxol fast blue stain and Brain mapping.
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