2023 - Research.com Medicine in Canada Leader Award
2023 - Research.com Neuroscience in Canada Leader Award
2022 - Research.com Best Scientist Award
2022 - Research.com Medicine in Canada Leader Award
2022 - Research.com Neuroscience in Canada Leader Award
2020 - Izaak Walton Killam Memorial Prize, Canada Council
2015 - Fellow of the Royal Society of Canada Academy of Science
His primary areas of investigation include Neuroscience, Artificial intelligence, Magnetic resonance imaging, Human brain and Pattern recognition. In his study, which falls under the umbrella issue of Neuroscience, Functional imaging is strongly linked to Stereotaxic technique. The study of Artificial intelligence is intertwined with the study of Computer vision in a number of ways.
His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Temporal lobe, Neuroimaging and Brain development. His Human brain study combines topics in areas such as Somatosensory system, Corpus callosum, Functional magnetic resonance imaging, Brain activity and meditation and Cingulate sulcus. His Pattern recognition research includes themes of Maxima and minima, Coordinate system, Surface reconstruction, Random field and Atlas.
Neuroscience, Artificial intelligence, Magnetic resonance imaging, Pattern recognition and Human brain are his primary areas of study. His Neuroscience study frequently draws connections between related disciplines such as Cerebral blood flow. Alan C. Evans combines subjects such as Machine learning and Computer vision with his study of Artificial intelligence.
The various areas that he examines in his Magnetic resonance imaging study include Positron emission tomography, Nuclear medicine and Pathology. Cerebral cortex is frequently linked to Cortex in his study. Cognition and Audiology are commonly linked in his work.
His primary areas of study are Neuroscience, Neuroimaging, Artificial intelligence, Cognition and Disease. His research in Neuroscience tackles topics such as Autism which are related to areas like Functional connectivity. His Neuroimaging research is multidisciplinary, incorporating perspectives in White matter, Sample, Macaque and Brain development.
The study incorporates disciplines such as Machine learning, Computer vision and Pattern recognition in addition to Artificial intelligence. His work carried out in the field of Pattern recognition brings together such families of science as Voxel and Diffusion MRI. As part of one scientific family, Alan C. Evans deals mainly with the area of Cognition, narrowing it down to issues related to the Audiology, and often Autism spectrum disorder, Electroencephalography, Magnetic resonance imaging, First episode psychosis and First episode.
Alan C. Evans spends much of his time researching Neuroimaging, Cognition, Neuroscience, Cohort and Cerebral cortex. His studies deal with areas such as White matter, Prefrontal cortex, Clinical psychology and Motion as well as Neuroimaging. Within one scientific family, he focuses on topics pertaining to Body mass index under Prefrontal cortex, and may sometimes address concerns connected to Brain mapping.
His Cognition study integrates concerns from other disciplines, such as Alzheimer's disease, Contrast, Early psychosis and Audiology. His studies link Schizophrenia with Neuroscience. His Cerebral cortex research is multidisciplinary, incorporating elements of Magnetic resonance imaging and Convolutional neural network.
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.
Brain development during childhood and adolescence: a longitudinal MRI study.
Jay N. Giedd;Jonathan Blumenthal;Neal O. Jeffries;F. X. Castellanos.
Nature Neuroscience (1999)
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
J.G. Sled;A.P. Zijdenbos;A.C. Evans.
IEEE Transactions on Medical Imaging (1998)
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
D L Collins;P Neelin;T M Peters;A C Evans.
Journal of Computer Assisted Tomography (1994)
A unified statistical approach for determining significant signals in images of cerebral activation.
K. J. Worsley;S. Marrett;P. Neelin;A. C. Vandal.
Human Brain Mapping (1996)
A three-dimensional statistical analysis for CBF activation studies in human brain.
K. J. Worsley;A. C. Evans;S. Marrett;P. Neelin.
Journal of Cerebral Blood Flow and Metabolism (1992)
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
J. Mazziotta;A. Toga;A. Evans;P. Fox.
Philosophical Transactions of the Royal Society B (2001)
Developmental trajectories of brain volume abnormalities in children and adolescents with attention-deficit/hyperactivity disorder.
F. Xavier Castellanos;F. Xavier Castellanos;Patti P. Lee;Wendy Sharp;Neal O. Jeffries.
Assessing the significance of focal activations using their spatial extent
K. J. Friston;K. J. Worsley;R. S. J. Frackowiak;J. C. Mazziotta.
Human Brain Mapping (1994)
Design and construction of a realistic digital brain phantom
D.L. Collins;A.P. Zijdenbos;V. Kollokian;J.G. Sled.
IEEE Transactions on Medical Imaging (1998)
Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation
P. Shaw;K. Eckstrand;W. Sharp;J. Blumenthal.
Proceedings of the National Academy of Sciences of the United States of America (2007)
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