2019 - IEEE Fellow For contributions to medical imaging
His biological study deals with issues like Statistics, which deal with fields such as Matching (statistics). Borrowing concepts from Statistics, he weaves in ideas under Matching (statistics). Simon K. Warfield applies the principles of Cohort and Statistical significance in his work under Internal medicine. His study brings together the fields of Internal medicine and Cohort. In his research, Simon K. Warfield performs multidisciplinary study on Radiology and Nuclear medicine. With his scientific publications, his incorporates both Nuclear medicine and Magnetic resonance imaging. Magnetic resonance imaging and Brain size are frequently intertwined in his study. His study ties his expertise on Pattern recognition (psychology) together with the subject of Artificial intelligence. His Pattern recognition (psychology) study frequently draws connections between related disciplines such as Artificial intelligence.
His work on Artificial intelligence as part of general Voxel research is often related to Pattern recognition (psychology), thus linking different fields of science. His research on Artificial intelligence often connects related areas such as Pattern recognition (psychology). Psychiatry is integrated with Pathology and Internal medicine in his study. He integrates Pathology with Radiology in his research. His Radiology study frequently draws connections between adjacent fields such as Brain size. Simon K. Warfield combines Internal medicine and Psychiatry in his studies. His Magnetic resonance imaging study frequently involves adjacent topics like Brain size. His study on Computer vision is mostly dedicated to connecting different topics, such as Image (mathematics). While working in this field, Simon K. Warfield studies both Algorithm and Computer vision.
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Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation
S.K. Warfield;K.H. Zou;W.M. Wells.
IEEE Transactions on Medical Imaging (2004)
Statistical validation of image segmentation quality based on a spatial overlap index.
Kelly H. Zou;Kelly H. Zou;Simon K. Warfield;Aditya Bharatha;Clare M.C. Tempany.
Academic Radiology (2004)
Early Experience Alters Brain Function and Structure
Heidelise Als;Frank H Duffy;Gloria B McAnulty;Michael J Rivkin.
Pediatrics (2004)
Abnormal Cerebral Structure Is Present at Term in Premature Infants
Terrie E Inder;Simon K Warfield;Hong Wang;Petra Susan Hüppi;Petra Susan Hüppi.
Pediatrics (2005)
Improved watershed transform for medical image segmentation using prior information
V. Grau;A.U.J. Mewes;M. Alcaniz;R. Kikinis.
IEEE Transactions on Medical Imaging (2004)
Quantitative magnetic resonance imaging of brain development in premature and mature newborns
Petra S. Hüppi;Simon Warfield;Ron Kikinis;Patrick D. Barnes.
Annals of Neurology (1998)
Automated segmentation of MR images of brain tumors
Michael R. Kaus;Simon K. Warfield;Arya Nabavi;Peter M. Black.
Radiology (2001)
Periventricular white matter injury in the premature infant is followed by reduced cerebral cortical gray matter volume at term.
Terrie E. Inder;Petra S. Huppi;Petra S. Huppi;Simon Warfield;Ron Kikinis.
Annals of Neurology (1999)
Serial intraoperative magnetic resonance imaging of brain shift.
Arya Nabavi;Peter McL. Black;David T. Gering;Carl-Fredrik Westin.
Neurosurgery (2001)
Early alteration of structural and functional brain development in premature infants born with intrauterine growth restriction
Cristina Borradori Tolsa;Slava Zimine;Simon K Warfield;Monica Freschi.
Pediatric Research (2004)
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Publications: 76
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