Martin Styner spends much of his time researching Neuroimaging, Artificial intelligence, Neuroscience, Diffusion MRI and White matter. His Neuroimaging study integrates concerns from other disciplines, such as Autism, Autism spectrum disorder, Human Connectome Project, Physiology and Resting State Functional Connectivity MRI. His Artificial intelligence research integrates issues from Machine learning, Computer vision and Pattern recognition.
His work carried out in the field of Neuroscience brings together such families of science as Endocrinology, Internal medicine and Brain size. His Diffusion MRI research is included under the broader classification of Magnetic resonance imaging. Martin Styner combines subjects such as Anatomy, Viral shedding and Brain mapping with his study of White matter.
Martin Styner mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Diffusion MRI and White matter. His research brings together the fields of Neuroimaging and Artificial intelligence. His Pattern recognition research is multidisciplinary, incorporating perspectives in Geodesic, Data mining and Atlas.
His Diffusion MRI research includes themes of Atlas and Statistics. His work deals with themes such as Corpus callosum, Neuroscience, Pediatrics and Brain size, which intersect with White matter. The study incorporates disciplines such as Internal medicine and Pathology in addition to Magnetic resonance imaging.
Artificial intelligence, White matter, Neuroimaging, Pattern recognition and Neuroscience are his primary areas of study. His Deep learning, Segmentation and Discriminative model study in the realm of Artificial intelligence connects with subjects such as Set. His research integrates issues of Diffusion MRI, Pediatrics and Audiology in his study of White matter.
His Neuroimaging study incorporates themes from Extra axial, Cognition, Internal medicine, Human brain and Physiology. His research investigates the connection with Pattern recognition and areas like Artificial neural network which intersect with concerns in Classifier and Temporomandibular joint. His Neuroscience study combines topics from a wide range of disciplines, such as Neurodegeneration and Immune activation.
His primary areas of investigation include Cognition, Neuroimaging, Artificial intelligence, Developmental psychology and Cognitive development. His study in Neuroimaging is interdisciplinary in nature, drawing from both Connectome, Physiology, Audiology and Brain development. His studies deal with areas such as Machine learning, Wavefront, Geodesic and Pattern recognition as well as Artificial intelligence.
His Developmental psychology research incorporates themes from Fractional anisotropy, Gestational age and Gut microbiome. His studies in Cognitive development integrate themes in fields like White matter, Gut flora, Effects of sleep deprivation on cognitive performance, Cortex and Animal data. His White matter research is multidisciplinary, incorporating perspectives in Prenatal care, Diffusion MRI, Depression, Pediatrics and Brain mapping.
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Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva.
IEEE Transactions on Medical Imaging (2009)
Differences in white matter fiber tract development present from 6 to 24 months in infants with autism.
Jason J. Wolff;Hongbin Gu;Guido Gerig;Jed T. Elison.
American Journal of Psychiatry (2012)
Parametric estimate of intensity inhomogeneities applied to MRI
M. Styner;C. Brechbuhler;G. Szckely;G. Gerig.
IEEE Transactions on Medical Imaging (2000)
Early brain development in infants at high risk for autism spectrum disorder
Heather Cody Hazlett;Hongbin Gu;Brent C. Munsell;Sun Hyung Kim.
A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes
Rajendra A. Morey;Christopher M. Petty;Christopher M. Petty;Yuan Xu;Jasmeet Pannu Hayes;Jasmeet Pannu Hayes.
Image analysis and superimposition of 3-dimensional cone-beam computed tomography models
Lucia H.S. Cevidanes;Martin A. Styner;William R. Proffit.
American Journal of Orthodontics and Dentofacial Orthopedics (2006)
Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM
Martin Styner;Ipek Oguz;Shun Xu;Christian Brechbühler.
Insight Journal (2006)
Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years.
Heather Cody Hazlett;Michele D. Poe;Guido Gerig;Martin Styner.
Archives of General Psychiatry (2011)
Superimposition of 3D cone-beam CT models of orthognathic surgery patients.
Lucia H.S. Cevidanes;L. J. Bailey;G. R. Tucker;M. A. Styner.
Dentomaxillofacial Radiology (2005)
Evaluation of 3D correspondence methods for model building.
Martin A. Styner;Kumar T. Rajamani;Lutz-Peter Nolte;Gabriel Zsemlye.
information processing in medical imaging (2003)
Profile was last updated on December 6th, 2021.
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