2017 - Royal Netherlands Academy of Arts and Sciences
Artificial intelligence, Computer vision, Segmentation, White matter and Internal medicine are his primary areas of study. Wiro J. Niessen combines subjects such as Nuclear magnetic resonance and Pattern recognition with his study of Artificial intelligence. His Computer vision study frequently draws parallels with other fields, such as Imaging phantom.
The various areas that he examines in his Segmentation study include Voxel, Tomography and Brain tissue. His White matter study combines topics from a wide range of disciplines, such as Nuclear medicine, Hyperintensity and Diffusion MRI. Wiro J. Niessen has researched Internal medicine in several fields, including Genome-wide association study, Oncology and Cardiology.
Wiro J. Niessen mainly investigates Artificial intelligence, Computer vision, Radiology, Segmentation and Magnetic resonance imaging. As part of his studies on Artificial intelligence, Wiro J. Niessen frequently links adjacent subjects like Pattern recognition. His study in Computer vision is interdisciplinary in nature, drawing from both Visualization and Robustness.
His study looks at the relationship between Radiology and fields such as Coronary arteries, as well as how they intersect with chemical problems. The study incorporates disciplines such as Internal medicine, Nuclear medicine and Cardiology in addition to Magnetic resonance imaging. Wiro J. Niessen usually deals with White matter and limits it to topics linked to Hyperintensity and Pathology and Diffusion MRI.
His scientific interests lie mostly in Rotterdam Study, Radiology, Magnetic resonance imaging, Artificial intelligence and Dementia. His Rotterdam Study research includes elements of Hyperintensity, Cognition, Audiology and Cognitive decline. His work deals with themes such as Neuroimaging and Neuroscience, which intersect with Magnetic resonance imaging.
His Artificial intelligence study incorporates themes from Computer vision and Pattern recognition. Wiro J. Niessen has included themes like Alzheimer's disease and Hazard ratio in his Dementia study. His study looks at the relationship between White matter and topics such as Diffusion MRI, which overlap with Pathology.
His primary areas of investigation include Rotterdam Study, Radiology, Neuroscience, Artificial intelligence and Magnetic resonance imaging. His Rotterdam Study research integrates issues from Odds ratio, Exome sequencing, Diffusion MRI, Cognition and Genetic variation. His research in Radiology intersects with topics in Image registration, Segmentation, Carotid arteries and Follow up studies.
His Artificial intelligence research incorporates themes from Tree, Catheterization procedure, Computer vision and Pattern recognition. His studies in Computer vision integrate themes in fields like Fluoroscopy and Catheter. His research integrates issues of Neuroimaging and Alzheimer's disease, Dementia, Disease in his study of Magnetic resonance imaging.
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.
Muliscale Vessel Enhancement Filtering
Alejandro F. Frangi;Wiro J. Niessen;Koen L. Vincken;Max A. Viergever.
medical image computing and computer assisted intervention (1998)
Incidental findings on brain MRI in the general population.
Meike W Vernooij;M Arfan Ikram;Hervé L Tanghe;Arnaud J P E Vincent.
The New England Journal of Medicine (2007)
Prevalence and risk factors of cerebral microbleeds The Rotterdam Scan Study
M. W. Vernooij;A. van der Lugt;M. A. Ikram;P. A. Wielopolski.
Three-dimensional modeling for functional analysis of cardiac images, a review
A.F. Frangi;W.J. Niessen;M.A. Viergever.
IEEE Transactions on Medical Imaging (2001)
Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling
A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen.
IEEE Transactions on Medical Imaging (2002)
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.
L Schmaal;D P Hibar;P G Sämann;G B Hall.
Molecular Psychiatry (2017)
Model-based quantitation of 3-D magnetic resonance angiographic images
A.F. Frangi;W.J. Niessen;R.M. Hoogeveen;T. van Walsum.
IEEE Transactions on Medical Imaging (1999)
Cerebral microbleeds are associated with worse cognitive function: the Rotterdam Scan Study.
M.M.F. Poels;M.A. Ikram;A. van der Lugt;A. Hofman.
Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy
O. Dzyubachyk;W.A. van Cappellen;J. Essers;W.J. Niessen.
IEEE Transactions on Medical Imaging (2010)
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms
Michiel Schaap;Coert T. Metz;Theo van Walsum;Alina G. van der Giessen.
Medical Image Analysis (2009)
Profile was last updated on December 6th, 2021.
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