What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Algorithm
The scientist’s investigation covers issues in Algorithm, Artificial intelligence, Iterative reconstruction, Computer vision and Inverse problem.
His Algorithm research incorporates themes from Smoothing, Subspace topology, Mathematical optimization, Positron emission tomography and Monte Carlo method.
The concepts of his Artificial intelligence study are interwoven with issues in Pattern recognition, Human heart and Electroencephalography.
His Iterative reconstruction study combines topics in areas such as Image resolution, Imaging phantom, Tomography and Detector.
His work on Voxel as part of his general Computer vision study is frequently connected to Beating heart, thereby bridging the divide between different branches of science.
His Inverse problem research integrates issues from Galerkin method, Medical imaging, Magnetoencephalography, Cartesian coordinate system and Spherical harmonics.
His most cited work include:
- Brainstorm: a user-friendly application for MEG/EEG analysis (1545 citations)
- Electromagnetic brain mapping (1301 citations)
- An optimal graph theoretic approach to data clustering: theory and its application to image segmentation (974 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Algorithm, Computer vision, Iterative reconstruction and Pattern recognition are his primary areas of study.
His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Magnetoencephalography, with regards to Speech recognition.
His work is dedicated to discovering how Algorithm, Inverse problem are connected with Inverse and other disciplines.
His Computer vision study integrates concerns from other disciplines, such as Surface and Cortical surface.
His Iterative reconstruction study which covers Detector that intersects with Scanner.
His Pattern recognition study frequently links to related topics such as Functional magnetic resonance imaging.
He most often published in these fields:
- Artificial intelligence (45.28%)
- Algorithm (25.18%)
- Computer vision (24.94%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (45.28%)
- Pattern recognition (21.79%)
- Functional magnetic resonance imaging (2.42%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Pattern recognition, Functional magnetic resonance imaging, Neuroscience and Algorithm.
He is studying Robustness, which is a component of Artificial intelligence.
His Pattern recognition research incorporates elements of Non-local means, Resting state fMRI, Autoencoder and Outlier.
The various areas that he examines in his Functional magnetic resonance imaging study include Preprocessor, Cognition, Correlation and Signal.
His Algorithm research is multidisciplinary, relying on both Tomographic reconstruction, Iterative reconstruction, Leverage, Phase retrieval and Autoregressive model.
His Iterative reconstruction research is multidisciplinary, incorporating elements of Cartesian coordinate system, Metric and Beamforming.
Between 2015 and 2021, his most popular works were:
- A fingerprint of the epileptogenic zone in human epilepsies (60 citations)
- Childhood Music Training Induces Change in Micro and Macroscopic Brain Structure: Results from a Longitudinal Study. (46 citations)
- MEG/EEG Group Analysis With Brainstorm. (37 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Algorithm
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Neuroscience, Cerebral cortex and Epilepsy.
His Artificial intelligence research includes elements of Atlas, Kernel density estimation and Functional magnetic resonance imaging.
His Pattern recognition research incorporates themes from Kernel regression, Image registration, Kernel and Ground truth.
His work in Cerebral cortex covers topics such as Resting fmri which are related to areas like Functional specialization, Cartography and Spectral clustering.
Richard M. Leahy interconnects Frontal lobe and Radiology in the investigation of issues within Epilepsy.
Richard M. Leahy combines subjects such as Single-photon emission computed tomography, Stimulation, Perfusion and Electroencephalography with his study of Evoked potential.
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