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Bram van Ginneken

Bram van Ginneken

Award Badge
Computer Science
Netherlands
2026

D-Index & Metrics

Medicine

D-Index
116
Citations
73622
World Ranking
4268
National Ranking
163

Computer Science

D-Index
108
Citations
70671
World Ranking
253
National Ranking
2

Bram van Ginneken publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Bram van Ginneken sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 403 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Bram van Ginneken D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Bram van Ginneken sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 108 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Netherlands Leader Award
  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2023 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Bram van Ginneken is affiliated with Radboud University in the Netherlands. Their research primarily focuses on the field of Medicine with a notable concentration in Radiology, Nuclear Medicine and Imaging. Additional subfields of study include Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering, and Health Informatics.

The scientist's work extensively covers topics related to Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, and Lung Cancer Diagnosis and Treatment. Other main topics include Artificial Intelligence in Healthcare and Education, AI in cancer detection, Medical Imaging and Analysis, and Chronic Obstructive Pulmonary Disease (COPD) Research.

Notable recent publications include:

  • The Medical Segmentation Decathlon (2022), published in Nature Communications
  • CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation (2020), published in Radiology
  • Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study (2020), published in The Lancet Oncology
  • Deep learning for chest X-ray analysis: A survey (2021), published in Medical Image Analysis
  • Artificial intelligence in radiology: 100 commercially available products and their scientific evidence (2021), published in European Radiology

Bram van Ginneken frequently collaborates with several researchers, including:

  • Keelin Murphy
  • Colin Jacobs
  • Mathias Prokop
  • Matthieu Rutten
  • Alessa Hering

Publication venues where Bram van Ginneken has consistently contributed include Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), Medical Image Analysis, European Radiology, and Radiology.

Best Publications

  • A survey on deep learning in medical image analysis

    Geert J. S. Litjens;Thijs Kooi;Babak Ehteshami Bejnordi;Arnaud Arindra Adiyoso Setio

  • Ridge-based vessel segmentation in color images of the retina

    J. Staal;M.D. Abramoff;M. Niemeijer;M.A. Viergever

  • Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

    Babak Ehteshami Bejnordi;Mitko Veta;Paul Johannes van Diest;Bram van Ginneken

  • Reflectance and texture of real-world surfaces

    Kristin J. Dana;Bram van Ginneken;Shree K. Nayar;Jan J. Koenderink

  • Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

    Hayit Greenspan;Bram van Ginneken;Ronald M. Summers

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

    Arnaud Arindra Adiyoso Setio;Francesco Ciompi;Geert Litjens;Paul Gerke

  • Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

    T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva

  • Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

    Arnaud Arindra Adiyoso Setio;Alberto Traverso;Thomas de Bel;Moira S.N. Berens

  • Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

    Geert Litjens;Clara I. Sánchez;Nadya Timofeeva;Meyke Hermsen

  • The Liver Tumor Segmentation Benchmark (LiTS)

    Patrick Bilic;Patrick Ferdinand Christ;Eugene Vorontsov;Grzegorz Chlebus

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • Comparative study of retinal vessel segmentation methods on a new publicly available database

    Meindert Niemeijer;Meindert Niemeijer;Joes Staal;Bram van Ginneken;Marco Loog

  • Large scale deep learning for computer aided detection of mammographic lesions

    Thijs Kooi;Geert J. S. Litjens;Bram van Ginneken;Albert Gubern-Mérida

  • CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation.

    Mathias Prokop;Wouter van Everdingen;Tjalco van Rees Vellinga;Henriëtte Quarles van Ufford

  • A large annotated medical image dataset for the development and evaluation of segmentation algorithms

    Amber L. Simpson;Michela Antonelli;Spyridon Bakas;Michel Bilello

  • Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

    Geert J. S. Litjens;Robert Toth;Wendy J. M. van de Ven;Caroline Hoeks

  • Computer analysis of computed tomography scans of the lung: a survey

    I. Sluimer;A. Schilham;M. Prokop;B. van Ginneken

  • Active shape model segmentation with optimal features

    B. van Ginneken;A.F. Frangi;J.J. Staal;B.M. ter Haar Romeny

  • Computer-aided diagnosis in chest radiography: a survey

    B. Van Ginneken;B.M. Ter Haar Romeny;M.A. Viergever

  • Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database.

    Bram van Ginneken;Mikkel Bille Stegmann;Marco Loog

Frequent Co-Authors

Mathias Prokop
Mathias Prokop Radboud University
Clara I. Sánchez
Clara I. Sánchez University of Amsterdam
Max A. Viergever
Max A. Viergever Utrecht University
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Matthijs Oudkerk
Matthijs Oudkerk University of Groningen
Harry J. de Koning
Harry J. de Koning Erasmus University Rotterdam
Ivana Išgum
Ivana Išgum University of Amsterdam
Willem P.Th.M. Mali
Willem P.Th.M. Mali Utrecht University
Carel B. Hoyng
Carel B. Hoyng Radboud University

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