What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Surgery
- Artificial intelligence
His primary areas of investigation include Neuroscience, Electroencephalography, Brain mapping, Brain–computer interface and Biomedical engineering.
The concepts of his Electroencephalography study are interwoven with issues in Electrophysiology, Primary motor cortex, Artificial intelligence, Signal and Pattern recognition.
His Artificial intelligence research incorporates elements of Surgical staple, Tissue sealant, Computer vision and Surgical device.
His study looks at the relationship between Computer vision and fields such as Body tissue, as well as how they intersect with chemical problems.
The Brain mapping study combines topics in areas such as Cognition, Task, Resting state fMRI, Magnetic resonance imaging and Brain activity and meditation.
His study in Brain–computer interface is interdisciplinary in nature, drawing from both Neurophysiology, Physical medicine and rehabilitation, Neuroprosthetics, Speech recognition and Motor cortex.
His most cited work include:
- A brain-computer interface using electrocorticographic signals in humans. (952 citations)
- Steerable surgical stapler (848 citations)
- Maneuverable surgical stapler (747 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Biomedical engineering, Neuroscience, Computer vision and Brain–computer interface.
His Artificial intelligence study typically links adjacent topics like Pattern recognition.
His study involves Electrocorticography, Brain mapping, Motor cortex, Cortex and Resting state fMRI, a branch of Neuroscience.
His research in Computer vision is mostly focused on Projection.
His Brain–computer interface research is classified as research in Electroencephalography.
He most often published in these fields:
- Artificial intelligence (13.01%)
- Biomedical engineering (11.86%)
- Neuroscience (10.97%)
What were the highlights of his more recent work (between 2016-2021)?
- Radiology (4.85%)
- Neuroscience (10.97%)
- Resting state fMRI (4.08%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Radiology, Neuroscience, Resting state fMRI, Laser Interstitial Thermal Therapy and Glioma.
His research in Radiology intersects with topics in Laser ablation and Progression-free survival.
His Resting state fMRI study combines topics in areas such as Surgical planning, Task, Functional magnetic resonance imaging and Voxel, Artificial intelligence.
His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Deep learning.
His research integrates issues of Glioblastoma, Blood–brain barrier, Pembrolizumab and Craniotomy in his study of Laser Interstitial Thermal Therapy.
His research investigates the link between Neurosurgery and topics such as Brain mapping that cross with problems in Medical physics.
Between 2016 and 2021, his most popular works were:
- On the role of the corpus callosum in interhemispheric functional connectivity in humans. (89 citations)
- Contralesional Brain-Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors. (64 citations)
- Frequency-specific electrophysiologic correlates of resting state fMRI networks (63 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Artificial intelligence
Radiology, Laser Interstitial Thermal Therapy, Magnetic resonance imaging, Neuroscience and Resting state fMRI are his primary areas of study.
He focuses mostly in the field of Radiology, narrowing it down to topics relating to Glioma and, in certain cases, Intraoperative MRI and Microbubbles.
His Laser Interstitial Thermal Therapy study combines topics from a wide range of disciplines, such as Glioblastoma and Craniotomy.
The various areas that he examines in his Magnetic resonance imaging study include Biopsy, Retrospective cohort study and Cohort.
His Resting state fMRI research integrates issues from Surgical planning, Task, Motor area, Functional magnetic resonance imaging and Operative time.
His biological study spans a wide range of topics, including Brain–computer interface and Neurorehabilitation.
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