What is he best known for?
The fields of study he is best known for:
- Statistics
- Quantum mechanics
- Artificial intelligence
His scientific interests lie mostly in Neuroimaging, White matter, Neuroscience, Fractional anisotropy and Algorithm.
His Neuroimaging research incorporates elements of Biological system, Default mode network and Brain mapping.
Leigh A. Johnston works mostly in the field of White matter, limiting it down to concerns involving Diffusion MRI and, occasionally, Imaging phantom and Tracking.
His studies deal with areas such as β amyloid, Dementia, Disease and Bioinformatics as well as Neuroscience.
His Fractional anisotropy research is multidisciplinary, incorporating elements of Corpus callosum, Optic nerve, Anatomy, Pathology and Huntington's disease.
The various areas that he examines in his Algorithm study include Orientation, Optic tract, Human brain, Range and Pattern recognition.
His most cited work include:
- Performance analysis of a dynamic programming track before detect algorithm (196 citations)
- An improvement to the interacting multiple model (IMM) algorithm (122 citations)
- The power of spectral density analysis for mapping endogenous BOLD signal fluctuations (115 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Algorithm, Neuroscience, Artificial intelligence, Diffusion MRI and White matter.
His research integrates issues of Expectation–maximization algorithm, Mathematical optimization, Nonlinear system, Kalman filter and Iterative reconstruction in his study of Algorithm.
His work in the fields of Brain mapping, Cerebral cortex, Cortex and Neocortex overlaps with other areas such as Somal translocation.
His Artificial intelligence research also works with subjects such as
- Computer vision and related Phase and Biomedical engineering,
- Pattern recognition, which have a strong connection to Correlation.
His study in the field of Tractography also crosses realms of Poison control.
His White matter research integrates issues from Huntington's disease, Corpus callosum, Neuroimaging and Nuclear magnetic resonance.
He most often published in these fields:
- Algorithm (27.03%)
- Neuroscience (33.78%)
- Artificial intelligence (29.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Imaging phantom (6.76%)
- Sodium MRI (2.70%)
- Nuclear medicine (3.38%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Imaging phantom, Sodium MRI, Nuclear medicine, Pathology and Cortex.
The Nuclear medicine study combines topics in areas such as Post-traumatic epilepsy and Fractional anisotropy, Diffusion MRI.
His work on Pathophysiology and Corpus callosum as part of general Pathology study is frequently linked to Concussion, therefore connecting diverse disciplines of science.
His research in Cortex intersects with topics in Cerebral cortex and Thalamus.
Cerebral cortex is a subfield of Neuroscience that Leigh A. Johnston investigates.
The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence.
Between 2018 and 2021, his most popular works were:
- Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network. (21 citations)
- Validation of 'Somnivore', a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data. (13 citations)
- Harmonization of pipeline for preclinical multicenter MRI biomarker discovery in a rat model of post-traumatic epileptogenesis (11 citations)
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