What is he best known for?
The fields of study he is best known for:
- Psychiatry
- Neuroscience
- Internal medicine
Sean Marrett mainly focuses on Nuclear medicine, Neuroscience, Cerebral blood flow, Positron emission tomography and Sensory system.
The study incorporates disciplines such as Artificial intelligence and Pattern recognition in addition to Nuclear medicine.
His studies in Pattern recognition integrate themes in fields like Voxel and Iterative reconstruction.
In his work, Visual cortex and Analytical chemistry is strongly intertwined with Blood flow, which is a subfield of Cerebral blood flow.
Sean Marrett combines subjects such as Central sulcus, Tomography and Gyrus with his study of Positron emission tomography.
His Sensory system research is multidisciplinary, relying on both Somatosensory evoked potential, Somatosensory system, Forebrain and Perception.
His most cited work include:
- A unified statistical approach for determining significant signals in images of cerebral activation. (2310 citations)
- A three-dimensional statistical analysis for CBF activation studies in human brain. (1845 citations)
- MULTIPLE REPRESENTATIONS OF PAIN IN HUMAN CEREBRAL CORTEX (880 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Visual cortex, Artificial intelligence, Positron emission tomography and Nuclear medicine.
His research on Neuroscience frequently links to adjacent areas such as Cerebral blood flow.
His research on Visual cortex also deals with topics like
- Stimulus which connect with Cerebral cortex,
- Functional magnetic resonance imaging which is related to area like Cognitive psychology.
His work carried out in the field of Artificial intelligence brings together such families of science as Computer vision and Pattern recognition.
His Positron emission tomography study combines topics in areas such as Gyrus and Fiducial marker.
His Nuclear medicine research includes elements of Tomography and Stimulation.
He most often published in these fields:
- Neuroscience (45.57%)
- Visual cortex (21.52%)
- Artificial intelligence (18.99%)
What were the highlights of his more recent work (between 2016-2020)?
- Neuroscience (45.57%)
- Blood volume (7.59%)
- Neuroimaging (6.33%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Neuroscience, Blood volume, Neuroimaging, Motor cortex and Quality.
His work on Visual cortex and Bold fmri as part of general Neuroscience research is often related to High resolution and Ribbon, thus linking different fields of science.
Sean Marrett interconnects Visual perception, Functional magnetic resonance imaging and Flicker in the investigation of issues within Visual cortex.
In his study, which falls under the umbrella issue of Blood volume, Millimeter, Spin echo, Nuclear medicine, Temporal resolution and Cortical surface is strongly linked to Contrast.
His study looks at the relationship between Motor cortex and fields such as Human brain, as well as how they intersect with chemical problems.
Machine learning connects with themes related to Artificial intelligence in his study.
Between 2016 and 2020, his most popular works were:
- High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1 (131 citations)
- Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications (63 citations)
- Layer-dependent functional connectivity methods. (22 citations)
In his most recent research, the most cited papers focused on:
- Psychiatry
- Neuroscience
- Internal medicine
Sean Marrett spends much of his time researching Neuroscience, Neuroimaging, Human brain, Motor cortex and Visual assessment.
In most of his Neuroscience studies, his work intersects topics such as Human–computer interaction.
His Neuroimaging research incorporates elements of Electrophysiology, Central sulcus, Cortex, Primary motor cortex and Motor system.
His study on Human brain is mostly dedicated to connecting different topics, such as Somatosensory system.
Sean Marrett regularly links together related areas like Visual cortex in his Motor cortex studies.
His Visual assessment research includes a combination of various areas of study, such as Mr images, Information retrieval, Resource, Crowdsourcing and Large sample.
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