What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Internal medicine
- Artificial intelligence
Anqi Qiu mainly investigates Neuroscience, Large deformation diffeomorphic metric mapping, Brain mapping, Computer vision and Metric.
His work in the fields of Neuroscience, such as Hippocampal formation, Putamen, Globus pallidus and Excitatory postsynaptic potential, overlaps with other areas such as Model representation.
His Large deformation diffeomorphic metric mapping course of study focuses on Shape analysis and Thalamus, Lateral ventricles, Neuroimaging and Healthy aging.
As a member of one scientific family, Anqi Qiu mostly works in the field of Brain mapping, focusing on White matter and, on occasion, Diffusion MRI and Fornix.
The Computer vision study combines topics in areas such as Diffeomorphism, Artificial intelligence and Pattern recognition.
His Metric study combines topics in areas such as Bijection, Algebra, Surface, Bijection, injection and surjection and Product.
His most cited work include:
- Basal ganglia volume and shape in children with attention deficit hyperactivity disorder. (191 citations)
- Prenatal Maternal Depression Associates with Microstructure of Right Amygdala in Neonates at Birth (148 citations)
- Large Deformation Diffeomorphic Metric Curve Mapping (147 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Neuroscience, Large deformation diffeomorphic metric mapping, Artificial intelligence, Brain mapping and Developmental psychology.
Anqi Qiu frequently studies issues relating to Diffusion MRI and Neuroscience.
His research in Large deformation diffeomorphic metric mapping intersects with topics in Algorithm, Geometry, Atlas and Metric.
His Artificial intelligence research integrates issues from Polygon mesh, Computer vision and Pattern recognition.
Brain mapping is frequently linked to White matter in his study.
His study in Developmental psychology is interdisciplinary in nature, drawing from both Cognition, Audiology and Attention deficit hyperactivity disorder.
He most often published in these fields:
- Neuroscience (30.65%)
- Large deformation diffeomorphic metric mapping (25.00%)
- Artificial intelligence (22.98%)
What were the highlights of his more recent work (between 2017-2021)?
- Offspring (9.68%)
- Neuroscience (30.65%)
- Amygdala (7.66%)
In recent papers he was focusing on the following fields of study:
Anqi Qiu mainly focuses on Offspring, Neuroscience, Amygdala, Depression and Neuroimaging.
His study in Neuroscience concentrates on Cognition and Functional networks.
The concepts of his Depression study are interwoven with issues in Insula and Clinical psychology.
His Neuroimaging research is multidisciplinary, relying on both Visual inspection, Artificial intelligence and Receiver operating characteristic.
Anqi Qiu works mostly in the field of Artificial intelligence, limiting it down to topics relating to Polynomial and, in certain cases, Numerical analysis.
His Functional magnetic resonance imaging research includes elements of Cognitive reserve, Orbitofrontal cortex, Brain mapping and Spatial memory.
Between 2017 and 2021, his most popular works were:
- Perinatal maternal depressive symptoms alter amygdala functional connectivity in girls (30 citations)
- Automated quality assessment of structural magnetic resonance images in children: Comparison with visual inspection and surface-based reconstruction. (29 citations)
- A review on neuroimaging studies of genetic and environmental influences on early brain development. (22 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Internal medicine
- Geometry
His primary areas of investigation include Maternal sensitivity, Functional magnetic resonance imaging, Amygdala, Neuroimaging and Neuroscience.
His studies deal with areas such as Cognitive reserve, Cognitive psychology, Early childhood and Brain mapping as well as Functional magnetic resonance imaging.
The various areas that Anqi Qiu examines in his Amygdala study include Hippocampal formation, Neuroanatomy and Physiology.
His Neuroimaging study incorporates themes from Transfer of learning, Deep learning, Convolutional neural network, Artificial intelligence and Receiver operating characteristic.
His Artificial intelligence research incorporates themes from Covariate and Pattern recognition.
He has researched Neuroscience in several fields, including Genome-wide association study, Functional studies and Genetic association.
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