What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
Danilo Bzdok focuses on Neuroscience, Neuroimaging, Brain mapping, Cognition and Cortex.
His work deals with themes such as Meta-analysis, Resting state fMRI, Inference and Neuroinformatics, which intersect with Neuroimaging.
He has researched Inference in several fields, including Activation likelihood estimation, Data mining and Contrast.
The Data mining study combines topics in areas such as Probability distribution, Resampling, False discovery rate and Word error rate.
His Brain mapping research includes themes of Voxel and Task-positive network.
His Cognition research incorporates elements of Cognitive psychology and Amygdala.
His most cited work include:
- Activation likelihood estimation meta-analysis revisited. (798 citations)
- Activation likelihood estimation meta-analysis revisited. (798 citations)
- Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy. (364 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Cognition, Neuroscience, Neuroimaging, Artificial intelligence and Cognitive psychology.
His study focuses on the intersection of Cognition and fields such as Cognitive science with connections in the field of Social neuroscience.
His work in Neuroscience is not limited to one particular discipline; it also encompasses Schizophrenia.
The study incorporates disciplines such as Meta-analysis, Functional magnetic resonance imaging, Inference and Data science in addition to Neuroimaging.
Danilo Bzdok has included themes like Statistical hypothesis testing, Data mining and Biomedicine in his Inference study.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Functional connectivity.
He most often published in these fields:
- Cognition (45.13%)
- Neuroscience (47.79%)
- Neuroimaging (47.35%)
What were the highlights of his more recent work (between 2019-2021)?
- Cognition (45.13%)
- Neuroscience (47.79%)
- Artificial intelligence (27.88%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cognition, Neuroscience, Artificial intelligence, Cognitive psychology and Neuroimaging.
In the subject of general Cognition, his work in Inferior parietal lobe is often linked to Specialization, thereby combining diverse domains of study.
In the field of Neuroscience, his study on Neural substrate, Connectomics and Social cognition overlaps with subjects such as Association.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Prefrontal cortex.
He combines subjects such as Variation, Social support, Brain network and Loneliness with his study of Cognitive psychology.
Danilo Bzdok undertakes interdisciplinary study in the fields of Neuroimaging and Simple through his works.
Between 2019 and 2021, his most popular works were:
- Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. (56 citations)
- Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. (56 citations)
- The Neurobiology of Social Distance. (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
Danilo Bzdok mainly focuses on Machine learning, Artificial intelligence, Cognitive psychology, Cognition and Neuroimaging.
The various areas that Danilo Bzdok examines in his Machine learning study include Enhanced Data Rates for GSM Evolution, Sample size determination and Regression.
His Artificial intelligence study integrates concerns from other disciplines, such as Contrast and Multivariate statistics.
His study on Cognition is covered under Neuroscience.
His Neuroscience study frequently links to other fields, such as Diffusion MRI.
His Neuroimaging research includes elements of Diagnostic marker, Gender identity and Functional brain.
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