Simon K. Warfield

Active 1995–2026

397
Papers
29,837
Citations
85
h-index
285
i10-index

Citations

Citations per year for Simon K. Warfield1959: 2 citations1965: 2 citations1969: 1 citations1974: 4 citations1987: 2 citations1989: 3 citations1990: 3 citations1995: 2 citations1996: 2 citations1997: 3 citations1998: 21 citations1999: 31 citations2000: 66 citations2001: 115 citations2002: 145 citations2003: 212 citations2004: 311 citations2005: 340 citations2006: 380 citations2007: 462 citations2008: 498 citations2009: 512 citations2010: 550 citations2011: 588 citations2012: 577 citations2013: 562 citations2014: 593 citations2015: 643 citations2016: 523 citations2017: 499 citations2018: 554 citations2019: 903 citations2020: 977 citations2021: 1,043 citations2022: 839 citations2023: 692 citations2024: 879 citations2025: 504 citations2026: 114 citations1960–1964: no citations, so these years are not shown1966–1968: no citations, so these years are not shown1970–1973: no citations, so these years are not shown1975–1986: no citations, so these years are not shown1988: no citations, so this year is not shown1991–1994: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,291 citing papers, 27.5% of this breakdownChina: 1,263 citing papers, 8.1% of this breakdownUnited Kingdom: 1,250 citing papers, 8% of this breakdownGermany: 871 citing papers, 5.6% of this breakdownFrance: 855 citing papers, 5.5% of this breakdownCanada: 804 citing papers, 5.1% of this breakdownNetherlands: 572 citing papers, 3.7% of this breakdownAustralia: 549 citing papers, 3.5% of this breakdownSwitzerland: 463 citing papers, 3% of this breakdownItaly: 431 citing papers, 2.8% of this breakdownSpain: 375 citing papers, 2.4% of this breakdownIndia: 316 citing papers, 2% of this breakdown
0%27.5%Other 22.8%

Fields

  • Medicine49%
  • Computer Science27.1%
  • Neuroscience8.7%
  • Engineering6.3%
  • Biochemistry, Genetics and Molecular Biology2.6%
  • Physics and Astronomy1.8%
  • Other4.5%

Topics

  • Medical Image Segmentation Techniques9.5%
  • Advanced Neuroimaging Techniques and Applications5.4%
  • Neonatal and fetal brain pathology4.3%
  • Advanced MRI Techniques and Applications3.9%
  • Radiomics and Machine Learning in Medical Imaging2.8%
  • Fetal and Pediatric Neurological Disorders2.8%
  • Other71.3%

Coauthors

All papers

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  1. Statistical validation of image segmentation quality based on a spatial overlap index1

    Authors: , , , , , , , , - Academic Radiology 2004 cited by 1,857

  2. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation

    Authors: , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2004 cited by 2,073

  3. A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth

    Authors: , , , , , , , , , , , - Scientific Reports 2017 cited by 374

  4. Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xavier Tomas-Fernandez, Hélène Urien, Isabelle Bloch, Sergi Valverde, Mariano Cabezas, Francisco Javier Vera-Olmos, Norberto Malpica, Charles R.G. Guttmann, Sandra Vukusic, Gilles Edan, Michel Dojat, Martin Styner, Simon K. Warfield, François Cotton, Christian Barillot - Scientific Reports 2018 cited by 282

  5. Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations

    Authors: , , - Artificial Intelligence in Medicine, Artif. Intell. Medicine 2021 cited by 139

  6. Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI

    Authors: , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2010 cited by 367

  7. Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2009 cited by 361

  8. Fetal Brain Volume Predicts Neurodevelopment in Congenital Heart Disease

    Authors: , , , , , , , , , , , , , , , - Circulation 2022 cited by 148

  9. A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images

    Authors: , , , , , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2013 cited by 209

  10. Primary cortical folding in the human newborn: an early marker of later functional development

    Authors: , , , , , , , , , - Brain 2008 cited by 485

  11. Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images

    Authors: , , , , , , , , - NeuroImage 2018 cited by 126

  12. Fetal MRI: A technical update with educational aspirations

    Authors: , , , , , , , , , , , - Concepts in Magnetic Resonance Part A 2014 cited by 121

  13. Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 48

  14. Improved watershed transform for medical image segmentation using prior information

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2004 cited by 727

  15. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bennett A. Landman, Andrey Zhylka, Josien P. W. Pluim, Greg D. Parker, Umesh Rudrapatna, John Evans, Cyril Charron, Derek K. Jones, Chantal M. W. Tax - NeuroImage 2020 cited by 88

  16. Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI

    Authors: , , , , , - NeuroImage 2021 cited by 45

  17. Delayed Cortical Development in Fetuses with Complex Congenital Heart Disease

    Authors: , , , , , , , , , , , , , - Cerebral Cortex 2012 cited by 311

  18. Regional Brain Growth Trajectories in Fetuses with Congenital Heart Disease

    Authors: , , , , , , , , , , , , , , , , , , - Annals of Neurology 2020 cited by 102

  19. Deep learning-based parameter estimation in fetal diffusion-weighted MRI

    Authors: , , , , , , - NeuroImage 2021 cited by 45

  20. Quantitative magnetic resonance imaging of brain development in premature and mature newborns

    Authors: , , , , , , , - Annals of Neurology 1998 cited by 696

  21. Quantitative in vivo MRI measurement of cortical development in the fetus

    Authors: , , , , , , , , , - Brain Structure and Function 2011 cited by 171

  22. 3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation

    Authors: , , , , , , , , - The MIDAS Journal 2008 cited by 169

  23. Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning

    Authors: , , , , , , , - IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) 2018 cited by 96

  24. Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation

    Authors: , , , , , , , , , - Human Brain Mapping 2022 cited by 24