D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 80 Citations 24,618 440 World Ranking 213 National Ranking 96
Medicine D-index 89 Citations 30,764 502 World Ranking 7970 National Ranking 4283

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to medical imaging

Overview

What is he best known for?

The fields of study Simon K. Warfield is best known for:

  • Statistics
  • Magnetic resonance imaging
  • Image registration

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 most cited work include:

  • Statistical validation of image segmentation quality based on a spatial overlap index1 (1223 citations)
  • Adaptive, template moderated, spatially varying statistical classification (384 citations)
  • Perinatal risk factors altering regional brain structure in the preterm infant (271 citations)

What are the main themes of his work throughout his whole career to date

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.

Simon K. Warfield most often published in these fields:

  • Radiology (53.85%)
  • Magnetic resonance imaging (43.59%)
  • Artificial intelligence (41.03%)

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.

Best Publications

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)

2069 Citations

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)

1721 Citations

Early Experience Alters Brain Function and Structure

Heidelise Als;Frank H Duffy;Gloria B McAnulty;Michael J Rivkin.
Pediatrics (2004)

1120 Citations

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)

983 Citations

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)

958 Citations

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)

810 Citations

Automated segmentation of MR images of brain tumors

Michael R. Kaus;Simon K. Warfield;Arya Nabavi;Peter M. Black.
Radiology (2001)

727 Citations

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)

634 Citations

Serial intraoperative magnetic resonance imaging of brain shift.

Arya Nabavi;Peter McL. Black;David T. Gering;Carl-Fredrik Westin.
Neurosurgery (2001)

578 Citations

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)

528 Citations

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