What is he best known for?
The fields of study he is best known for:
- Statistics
- Neuroscience
- Artificial intelligence
Ziad S. Saad focuses on Artificial intelligence, Regression, Resting state fMRI, Neuroscience and Statistics.
The Artificial intelligence study combines topics in areas such as Functional magnetic resonance imaging and Magnetic resonance imaging.
The various areas that Ziad S. Saad examines in his Functional magnetic resonance imaging study include Cognitive psychology, Social connectedness, Connectome and Interpretability.
His work carried out in the field of Regression brings together such families of science as Social psychology, Group analysis and Brain mapping.
His Resting state fMRI research is multidisciplinary, incorporating perspectives in Robust statistics, Estimator, Artifact and Pattern recognition.
His research in the fields of Functional connectivity, Cognition, Attentional control and Stimulation overlaps with other disciplines such as Task.
His most cited work include:
- Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression (674 citations)
- Mapping sources of correlation in resting state FMRI, with artifact detection and removal (372 citations)
- A New Method for Improving Functional-to-Structural MRI Alignment using Local Pearson Correlation (308 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Artificial intelligence, Functional magnetic resonance imaging, Brain mapping and Voxel.
As a part of the same scientific study, Ziad S. Saad usually deals with the Neuroscience, concentrating on Diffusion MRI and frequently concerns with SMA*.
His research in Artificial intelligence intersects with topics in Cognition, Stability, Magnetic resonance imaging, Computer vision and Pattern recognition.
His Pattern recognition research includes themes of Electrocorticography, Resting state fMRI, Cortical surface and Statistical power.
His work in Functional magnetic resonance imaging addresses subjects such as White noise, which are connected to disciplines such as Functional imaging, Neurophysiology and Linear interpolation.
The study incorporates disciplines such as Cognitive psychology, Cerebral cortex, Prefrontal cortex, Grey matter and Human brain in addition to Brain mapping.
He most often published in these fields:
- Neuroscience (34.85%)
- Artificial intelligence (28.79%)
- Functional magnetic resonance imaging (22.73%)
What were the highlights of his more recent work (between 2013-2019)?
- Neuroscience (34.85%)
- Artificial intelligence (28.79%)
- Magnetic resonance imaging (15.15%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Neuroscience, Artificial intelligence, Magnetic resonance imaging, Pattern recognition and Neuroimaging.
His work in the fields of Brain mapping, Functional magnetic resonance imaging and Sensory system overlaps with other areas such as Olfactory tubercle.
The concepts of his Brain mapping study are interwoven with issues in Motor cortex and Neurostimulation.
Within one scientific family, Ziad S. Saad focuses on topics pertaining to Cognitive load under Functional magnetic resonance imaging, and may sometimes address concerns connected to Sample size determination.
His Artificial intelligence study incorporates themes from Surgery and Cognition.
His research on Pattern recognition also deals with topics like
- Multilevel model and Brain activity and meditation most often made with reference to Electrocorticography,
- Data mining and related Connectome and Tractography.
Between 2013 and 2019, his most popular works were:
- Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns (205 citations)
- Applications of multivariate modeling to neuroimaging group analysis: a comprehensive alternative to univariate general linear model. (136 citations)
- Three-Dimensional Digital Template Atlas of the Macaque Brain. (90 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Neuroscience
- Artificial intelligence
His main research concerns Neuroscience, Artificial intelligence, Cognition, Pattern recognition and Task.
His study in Primary motor cortex, Associative learning, Brain mapping, Functional magnetic resonance imaging and Motor cortex is carried out as part of his Neuroscience studies.
His Artificial intelligence study combines topics in areas such as Proxy, Data mining and Stability.
His Cognition research is multidisciplinary, incorporating elements of Electrocorticography, Multilevel model and Cortical surface.
His Pattern recognition research incorporates elements of Resting state fMRI and Brain activity and meditation.
Borrowing concepts from Functional connectivity, Ziad S. Saad weaves in ideas under Task.
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