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Mads Nielsen 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 Mads Nielsen 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+

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

Mads Nielsen 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 Mads Nielsen 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+

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

Overview

Mads Nielsen is affiliated with the University of Copenhagen in Denmark and has contributed extensively to the fields of Medicine and Computer Science. Their research primarily focuses on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Epidemiology, and Health Informatics.

The scientist's work encompasses several main topics, including:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Healthcare
  • Dementia and Cognitive Impairment Research

Mads Nielsen has published research in a variety of venues, frequently appearing in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Radiology
  • SSRN Electronic Journal

Selected recent papers authored or coauthored by Mads Nielsen include:

  • An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload, 2022, Radiology
  • Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients, 2021, Scientific Reports
  • The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up, 2021, The Journal of Machine Learning for Biomedical Imaging
  • Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare, 2020, Medical Image Analysis
  • Impact of adding breast density to breast cancer risk models: A systematic review, 2020, European Journal of Radiology

Mads Nielsen has collaborated with several frequent coauthors, notably:

  • Mostafa Mehdipour Ghazi
  • Aasa Feragen
  • Anders Nymark Christensen
  • Martin G. Tolsgaard
  • Martin Lillholm

In addition to research articles, Nielsen has contributed to book publications, including a title published by Springer Science+Business Media:

  • Information Processing in Medical Imaging, 2021

Best Publications

  • Proceedings European Conference on Computer Vision 2002

    Anders Heyden;Gunnar Sparr;Mads Nielsen;Peter Johansen

  • Computer Vision - Eccv 2002

    Anders Heyden;Gunnar Sparr;Mads Nielsen;Peter Johansen

  • Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network

    Adhish Prasoon;Kersten Petersen;Christian Igel;François Lauze

  • Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

    Michiel Kallenberg;Kersten Petersen;Mads Nielsen;Andrew Y. Ng

  • Scale-space theories in computer vision

    Mads Nielsen;Peter Johansen;Ole Fogh Olsen;Joachim Weickert

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

  • Gaussian Scale-Space Theory

    Jon Sporring;Luc Florack;Mads Nielsen;Peter Johansen

  • Early detection of Alzheimer's disease using MRI hippocampal texture

    Lauge Sørensen;Christian Igel;Naja Liv Hansen;Merete Osler

  • Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

    Lauge Sørensen;Christian Igel;Akshay Pai;Ioana Balas

  • Eye typing using Markov and active appearance models

    D.W. Hansen;J.P. Hansen;M. Nielsen;A.S. Johansen

  • Regularization, Scale-Space, and Edge Detection Filters

    Mads Nielsen;Luc Florack;Rachid Deriche

  • Texture-Based Analysis of COPD: A Data-Driven Approach

    L. Sorensen;M. Nielsen;Pechin Lo;H. Ashraf

  • Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative.

    Erik B. Dam;Martin Lillholm;Joselene Marques;Mads Nielsen

  • Manifold valued statistics, exact principal, geodesic analysis and the effect of linear, approximations

    Stefan Sommer;François Lauze;Søren Hauberg;Mads Nielsen

  • Modeling and off-design performance of a 1 kWe HT-PEMFC (high temperature-proton exchange membrane fuel cell)-based residential micro-CHP (combined-heat-and-power) system for Danish single-family households

    Alexandros Arsalis;Mads Pagh Nielsen;Søren Knudsen Kær

  • Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

    Mostafa Mehdipour Ghazi;Mads Nielsen;Akshay Pai;M Jorge Cardoso

  • Mass preserving image registration for lung CT.

    Vladlena Gorbunova;Jon Sporring;Pechin Lo;Martine Loeve

  • Quantitative vertebral morphometry using neighbor-conditional shape models

    Marleen de Bruijne;Michael T. Lund;László B. Tankó;Paola C. Pettersen

  • The Intrinsic Structure of Optic Flow Incorporating Measurement Duality

    Luc Florack;Wiro Niessen;Mads Nielsen

  • Non-rigid registration by geometry-constrained diffusion

    Per Rønsholt Andresen;Mads Nielsen

Frequent Co-Authors

Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Søren Knudsen Kær
Søren Knudsen Kær Aalborg University
Christian Igel
Christian Igel University of Copenhagen
Marco Loog
Marco Loog Radboud University
Sebastien Ourselin
Sebastien Ourselin King's College London
Marc Modat
Marc Modat King's College London
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Brian Elmegaard
Brian Elmegaard Technical University of Denmark
Nico Karssemeijer
Nico Karssemeijer Radboud University
Wiro J. Niessen
Wiro J. Niessen University Medical Center Groningen

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