What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Psychiatry
- Neuroscience
His primary scientific interests are in Psychosis, Psychiatry, Neuroimaging, Internal medicine and Neuroscience.
The concepts of his Psychosis study are interwoven with issues in Voxel-based morphometry, Young adult, Case-control study, Generalizability theory and Clinical psychology.
His Psychiatry research is multidisciplinary, relying on both Magnetic resonance imaging and Audiology.
His Neuroimaging research incorporates themes from Cognition, Dementia, Disease, Artificial intelligence and Machine learning.
His Internal medicine study combines topics in areas such as Endocrinology and Oncology.
His study looks at the intersection of Neuroscience and topics like Grey matter with Limbic system, First episode and Basal ganglia.
His most cited work include:
- Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition (319 citations)
- Depression-related variation in brain morphology over 3 years: effects of stress? (278 citations)
- BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease (218 citations)
What are the main themes of his work throughout his whole career to date?
Nikolaos Koutsouleris mostly deals with Psychosis, Clinical psychology, Schizophrenia, Neuroscience and Psychiatry.
His Psychosis research includes elements of Generalizability theory, Disease, Grey matter, Neurocognitive and Depression.
His Clinical psychology course of study focuses on Bipolar disorder and Schizoaffective disorder and Major depressive disorder.
His Schizophrenia study also includes
- Audiology, which have a strong connection to Basal ganglia,
- Internal medicine which connect with Endocrinology.
Nikolaos Koutsouleris combines subjects such as Schizophrenia and Voxel-based morphometry with his study of Neuroscience.
The various areas that Nikolaos Koutsouleris examines in his Psychiatry study include Magnetic resonance imaging and Multivariate statistics.
He most often published in these fields:
- Psychosis (49.52%)
- Clinical psychology (33.33%)
- Schizophrenia (36.19%)
What were the highlights of his more recent work (between 2019-2021)?
- Psychosis (49.52%)
- Schizophrenia (36.19%)
- Clinical psychology (33.33%)
In recent papers he was focusing on the following fields of study:
Nikolaos Koutsouleris spends much of his time researching Psychosis, Schizophrenia, Clinical psychology, Cognition and Neurocognitive.
His research investigates the link between Psychosis and topics such as Depression that cross with problems in Grey matter.
The study incorporates disciplines such as Confounding, Basal ganglia, Machine learning and Artificial intelligence in addition to Schizophrenia.
His Clinical psychology study deals with Positive and Negative Syndrome Scale intersecting with Anxiety.
His Cognition research incorporates elements of Multivariate statistics and Audiology.
His Psychiatry research is multidisciplinary, incorporating perspectives in Systematic review and Quality of life.
Between 2019 and 2021, his most popular works were:
- Prevention of Psychosis: Advances in Detection, Prognosis, and Intervention (55 citations)
- Prevention of Psychosis: Advances in Detection, Prognosis, and Intervention (55 citations)
- Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. (50 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Schizophrenia
- Psychiatry
Psychosis, Schizophrenia, Clinical psychology, Neurocognitive and Artificial intelligence are his primary areas of study.
His studies deal with areas such as Major depressive disorder, Depression and Generalizability theory as well as Psychosis.
His work carried out in the field of Schizophrenia brings together such families of science as Bipolar disorder, Cognition, Cohort study and Audiology.
His Clinical psychology research is multidisciplinary, relying on both Translational medicine, Prognostic models, Moderation, Proportional hazards model and Publication bias.
His Neurocognitive research integrates issues from Multiple sclerosis and Support vector machine.
Nikolaos Koutsouleris focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Grey matter and Internal capsule.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
