Nikos Paragios

Active 1996–2025

335
Papers
22,766
Citations
69
h-index
202
i10-index

Citations

Citations per year for Nikos Paragios1956: 1 citations1978: 5 citations1979: 1 citations1981: 2 citations1984: 1 citations1985: 1 citations1986: 1 citations1990: 1 citations1991: 2 citations1992: 1 citations1995: 1 citations1996: 5 citations1997: 7 citations1998: 10 citations1999: 36 citations2000: 40 citations2001: 56 citations2002: 144 citations2003: 145 citations2004: 214 citations2005: 376 citations2006: 450 citations2007: 462 citations2008: 590 citations2009: 544 citations2010: 639 citations2011: 708 citations2012: 749 citations2013: 814 citations2014: 890 citations2015: 799 citations2016: 842 citations2017: 751 citations2018: 683 citations2019: 809 citations2020: 964 citations2021: 1,020 citations2022: 776 citations2023: 541 citations2024: 592 citations2025: 403 citations2026: 57 citations1957–1977: no citations, so these years are not shown1980: no citations, so this year is not shown1982–1983: no citations, so these years are not shown1987–1989: no citations, so these years are not shown1993–1994: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,357 citing papers, 20.3% of this breakdownChina: 3,159 citing papers, 19.1% of this breakdownFrance: 1,277 citing papers, 7.7% of this breakdownGermany: 1,017 citing papers, 6.2% of this breakdownUnited Kingdom: 945 citing papers, 5.7% of this breakdownCanada: 619 citing papers, 3.7% of this breakdownIndia: 408 citing papers, 2.5% of this breakdownItaly: 370 citing papers, 2.2% of this breakdownAustralia: 359 citing papers, 2.2% of this breakdownSwitzerland: 354 citing papers, 2.1% of this breakdownSpain: 349 citing papers, 2.1% of this breakdownSouth Korea: 330 citing papers, 2% of this breakdown
0%20.3%Other 24.2%

Fields

  • Computer Science60.6%
  • Medicine18.6%
  • Engineering11.5%
  • Biochemistry, Genetics and Molecular Biology2%
  • Neuroscience1.9%
  • Physics and Astronomy1.4%
  • Other4%

Topics

  • Medical Image Segmentation Techniques11%
  • Advanced Image and Video Retrieval Techniques5.3%
  • Advanced Vision and Imaging4.6%
  • Video Surveillance and Tracking Methods4.3%
  • Radiomics and Machine Learning in Medical Imaging4.1%
  • Advanced Neural Network Applications3%
  • Other67.7%

Coauthors

All papers

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  1. Deformable Medical Image Registration: A Survey

    Authors: , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2013 cited by 1,542

  2. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

    Authors: , , , , , , , , , , , , , , , , , , - The Lancet Oncology 2018 cited by 1,230

  3. Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

    Authors: , , , , , , , , , - Annals of Oncology 2017 cited by 765

  4. Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics

    Authors: , , , , , , , , , , , , , , , , , , - Scientific Reports 2020 cited by 264

  5. Slice-to-volume medical image registration: A survey

    Authors: , - Medical Image Analysis, Medical Image Anal. 2017 cited by 180

  6. Artificial intelligence applications for thoracic imaging

    Authors: , , , - European Journal of Radiology 2019 cited by 198

  7. Data fusion through cross-modality metric learning using similarity-sensitive hashing

    Authors: , , , - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 cited by 482

  8. Handbook of Mathematical Models in Computer Vision

    Authors: , , - DAGLIB 2005 cited by 574

  9. DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting

    Authors: , , , - Medical Image Analysis, Medical Image Anal. 2010 cited by 409

  10. Demystification of AI-driven medical image interpretation: past, present and future

    Authors: , , , , , , - European Radiology 2018 cited by 157

  11. Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2011 cited by 442

  12. Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

    Authors: , , , , , - Lecture notes in computer science, ECCV (10) 2018 cited by 158

  13. Building detection in very high resolution multispectral data with deep learning features

    Authors: , , , - IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015 cited by 297

  14. Deep learning: definition and perspectives for thoracic imaging

    Authors: , , , - European Radiology 2019 cited by 110

  15. AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Valérie Bousson, Ahmed Mekki, Robert-Yves Carlier, Marie‐Pierre Revel, Nikos Paragios - Medical Image Analysis, Medical Image Anal. 2020 cited by 158

  16. EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

    Authors: , , , , , - PeerJ 2018 cited by 101

  17. Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Journal for ImmunoTherapy of Cancer 2020 cited by 96

  18. Model-Based 3D Hand Pose Estimation from Monocular Video

    Authors: , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2011 cited by 268

  19. Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

    Authors: , , - Computer Vision and Image Understanding, Comput. Vis. Image Underst. 2013 cited by 197

  20. U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets

    Authors: , , , , , , , , , , , - Lecture notes in computer science, MICCAI (3) 2019 cited by 62

  21. AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation

    Authors: , , , , , , - Lecture notes in computer science, MICCAI (4) 2018 cited by 85

  22. Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy

    Authors: , , , , , , , , , - Zeitschrift für Medizinische Physik 2023 cited by 43

  23. Dense image registration through MRFs and efficient linear programming

    Authors: , , , , - Medical Image Analysis, Medical Image Anal. 2008 cited by 431

  24. Learning Grammars for Architecture-Specific Facade Parsing

    Authors: , , - International Journal of Computer Vision, Int. J. Comput. Vis. 2016 cited by 65