André Dekker

Active 1998–2026

Also published as
Andre Dekker · Andre, Dekker
228
Papers
33,042
Citations
68
h-index
166
i10-index

Citations

Citations per year for André Dekker1983: 1 citations1986: 1 citations1988: 1 citations1989: 1 citations1990: 1 citations1991: 1 citations1996: 1 citations1998: 2 citations1999: 5 citations2000: 7 citations2001: 1 citations2002: 4 citations2003: 7 citations2004: 9 citations2005: 15 citations2006: 11 citations2007: 16 citations2008: 29 citations2009: 40 citations2010: 38 citations2011: 51 citations2012: 61 citations2013: 79 citations2014: 104 citations2015: 231 citations2016: 366 citations2017: 465 citations2018: 729 citations2019: 1,582 citations2020: 2,127 citations2021: 2,420 citations2022: 1,995 citations2023: 1,399 citations2024: 2,060 citations2025: 1,092 citations2026: 156 citations1984–1985: no citations, so these years are not shown1987: no citations, so this year is not shown1992–1995: no citations, so these years are not shown1997: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,492 citing papers, 23.1% of this breakdownUnited States: 2,584 citing papers, 17.1% of this breakdownItaly: 931 citing papers, 6.2% of this breakdownNetherlands: 845 citing papers, 5.6% of this breakdownUnited Kingdom: 743 citing papers, 4.9% of this breakdownGermany: 731 citing papers, 4.8% of this breakdownCanada: 540 citing papers, 3.6% of this breakdownFrance: 508 citing papers, 3.4% of this breakdownSwitzerland: 341 citing papers, 2.3% of this breakdownSouth Korea: 303 citing papers, 2% of this breakdownSpain: 301 citing papers, 2% of this breakdownAustralia: 289 citing papers, 1.9% of this breakdown
0%23.1%Other 23.1%

Fields

  • Medicine78.4%
  • Computer Science7.2%
  • Physics and Astronomy3.8%
  • Biochemistry, Genetics and Molecular Biology3.2%
  • Engineering3%
  • Health Professions1.4%
  • Other3%

Topics

  • Radiomics and Machine Learning in Medical Imaging22.3%
  • AI in cancer detection5.1%
  • Lung Cancer Diagnosis and Treatment4.8%
  • Advanced X-ray and CT Imaging3.6%
  • MRI in cancer diagnosis3.6%
  • Medical Imaging Techniques and Applications2.8%
  • Other57.8%

Coauthors

All papers

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  1. Radiomics: the bridge between medical imaging and personalized medicine

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Reviews Clinical Oncology 2017 cited by 5,579

  2. Radiomics: Extracting more information from medical images using advanced feature analysis

    Authors: , , , , , , , , , , - European Journal of Cancer 2012 cited by 5,925

  3. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Authors: , , , , , , , , , , , , , , , , - Nature Communications 2014 cited by 5,145

  4. Radiomics: the process and the challenges

    Authors: , , , , , , , , , , , , , , , - Magnetic Resonance Imaging 2012 cited by 2,252

  5. Characterisation and classification of oligometastatic disease: a European Society for Radiotherapy and Oncology and European Organisation for Research and Treatment of Cancer consensus recommendation

    Authors: , , , , , , , , , , , , , , , , , , , - The Lancet Oncology 2020 cited by 1,066

  6. Repeatability and Reproducibility of Radiomic Features: A Systematic Review

    Authors: , , , - International Journal of Radiation Oncology*Biology*Physics 2018 cited by 884

  7. Distributed Analytics on Sensitive Medical Data: The Personal Health Train

    Authors: , , , , , , , , , , - Data Intelligence, Data Intell. 2019 cited by 131

  8. American Association of Physicists in Medicine Task Group 263: Standardizing Nomenclatures in Radiation Oncology

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Norman L. Brown, Wilko F.A.R. Verbakel, Yves Archambault, Steven J. Chmura, André Dekker, Don G. Eagle, Thomas J. FitzGerald, Theodore S. Hong, Rishabh Kapoor, Beth Lansing, Shruti Jolly, Mary E. Napolitano, J. F. PERCY, M Rose, Salim Siddiqui, Christof Schadt, William E. Simon, William L. Straube, Sara St. James, Kenneth Ulin, Sue S. Yom, Torunn I. Yock - International Journal of Radiation Oncology*Biology*Physics 2017 cited by 203

  9. Radiomics and Dosiomics Signature From Whole Lung Predicts Radiation Pneumonitis: A Model Development Study With Prospective External Validation and Decision-curve Analysis

    Authors: , , , , , , - International Journal of Radiation Oncology*Biology*Physics 2022 cited by 101

  10. Defining the role of real-world data in cancer clinical research: The position of the European Organisation for Research and Treatment of Cancer

    Authors: , , , , , , , , , , , , , , , , , - European Journal of Cancer 2023 cited by 88

  11. Fundamentals of Clinical Data Science

    Authors: , , - 2018 cited by 232

  12. A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features

    Authors: , , , , , , , , , , - Physics and Imaging in Radiation Oncology 2021 cited by 102

  13. Vulnerabilities of radiomic signature development: The need for safeguards

    Authors: , , , , , , , , , , - Radiotherapy and Oncology 2018 cited by 317

  14. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Medical Physics 2018 cited by 302

  15. Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

    Authors: , , , , , , , , , , , , , , , , - Medical Physics 2018 cited by 247

  16. Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability

    Authors: , , , , , , , , , , , - Acta Oncologica 2013 cited by 425

  17. Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

    Authors: , , , , , , , - Radiotherapy and Oncology 2017 cited by 368

  18. GAN-based one dimensional medical data augmentation

    Authors: , , , , , , , , - Soft Computing, Soft Comput. 2023 cited by 50

  19. Distributed learning on 20 000+ lung cancer patients – The Personal Health Train

    Authors: , , , , , , , , , , , , , , , , , , , , , - Radiotherapy and Oncology 2020 cited by 163

  20. Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach

    Authors: , , , , , - Quantitative Imaging in Medicine and Surgery 2024 cited by 39

  21. Artificial intelligence‐based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance

    Authors: , , , , , - Medical Physics 2020 cited by 118

  22. Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alon Witztum, Kelly E. Woods, Yuan Yao, Keyvan Farahani, Sanjay Aneja, Peter Gabriel, Lubomire Hadjiiski, Dan Ruan, Jeffrey H. Siewerdsen, Steven Bratt, Michelle Casagni, Chen Su, John C. Christodouleas, Anthony DiDonato, James A. Hayman, Rishhab Kapoor, Saul A. Kravitz, Sharon Sebastian, Martin von Siebenthal, Walter Bosch, Coen Hurkmans, Sue S. Yom, Ying Xiao - International Journal of Radiation Oncology*Biology*Physics 2023 cited by 35

  23. Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review

    Authors: , , , , - Physics in Medicine and Biology 2023 cited by 37

  24. Health Literacy and eHealth: Challenges and Strategies

    Authors: , , , , - JCO Clinical Cancer Informatics 2022 cited by 84