World's Best Scientists 2026 revealed!
Christian Ledig

Christian Ledig

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
33
Citations
22115
World Ranking
905
National Ranking
31

Computer Science

D-Index
30
Citations
23458
World Ranking
13795
National Ranking
665

Christian Ledig 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 Christian Ledig 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: 79 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Christian Ledig 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 Christian Ledig 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: 30 D-Index — 3rd percentile

3% 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

  • 2025 - Research.com Rising Stars Award

Overview

Christian Ledig is affiliated with the University of Bamberg in Germany. Their research spans multiple domains, primarily focusing on the intersection of computer science and medicine.

Their work covers the following main fields of study:

  • Computer Science
  • Medicine

Within these broad areas, Ledig contributes to several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Cognitive Neuroscience
  • Biophysics

The main topics explored in their publications reflect an emphasis on medical and computational techniques, such as:

  • AI in cancer detection
  • Functional Brain Connectivity Studies
  • Cell Image Analysis Techniques
  • Artificial Intelligence in Healthcare and Education
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Traumatic Brain Injury Research
  • Medical Image Segmentation Techniques

Recent papers authored or co-authored by Christian Ledig include:

  • "Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs", 2020, published in npj Digital Medicine
  • "Integrative Analysis of Circulating Metabolite Profiles and Magnetic Resonance Imaging Metrics in Patients with Traumatic Brain Injury", 2020, published in International Journal of Molecular Sciences
  • "Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive Outcome", 2020, published in Frontiers in Neurology
  • "Rethinking model prototyping through the MedMNIST+ dataset collection", 2025, published in Scientific Reports
  • "Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis", 2021, published in Frontiers in Big Data

Christian Ledig frequently publishes in the following venues:

  • arXiv (Cornell University)
  • npj Digital Medicine
  • International Journal of Molecular Sciences
  • Scientific Reports
  • Frontiers in Big Data

Collaboration is a significant aspect of their research, with frequent co-authors including:

  • Francesco Di Salvo
  • Sebastian Doerrich
  • Jussi P. Posti
  • Riikka Takala
  • Olli Tenovuo

Best Publications

  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

    Christian Ledig;Lucas Theis;Ferenc Huszar;Jose Caballero

  • Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

    Konstantinos Kamnitsas;Christian Ledig;Virginia F.J. Newcombe;Joanna P. Simpson

  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

    Christian Ledig;Lucas Theis;Ferenc Huszar;Jose Caballero

  • Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

    Jose Caballero;Christian Ledig;Andrew Aitken;Alejandro Acosta

  • ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

    Oskar Maier;Bjoern H. Menze;Janina von der Gablentz;Levin Häni

  • Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

    Konstantinos Kamnitsas;Konstantinos Kamnitsas;Christian F. Baumgartner;Christian Ledig;Virginia F. J. Newcombe

  • Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain

    Antonios Makropoulos;Ioannis S Gousias;Christian Ledig;Paul Aljabar

  • 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

  • DeepMedic for Brain Tumor Segmentation

    Konstantinos Kamnitsas;Konstantinos Kamnitsas;Enzo Ferrante;Sarah Parisot;Christian Ledig

  • Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.

    Wenzhe Shi;Jose Caballero;Christian Ledig;Xiahai Zhuang

  • Differential diagnosis of neurodegenerative diseases using structural MRI data

    Juha Koikkalainen;Hanneke Rhodius-Meester;Antti Tolonen;Frederik Barkhof

  • Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

    Andrew P. Aitken;Christian Ledig;Lucas Theis;Jose Caballero

  • Robust whole-brain segmentation: Application to traumatic brain injury

    Christian Ledig;Rolf A. Heckemann;Rolf A. Heckemann;Alexander Hammers;Alexander Hammers;Juan Carlos Lopez

  • Multi-atlas segmentation with augmented features for cardiac MR images

    Wenjia Bai;Wenzhe Shi;Christian Ledig;Daniel Rueckert

  • A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease

    Tong Tong;Qinquan Gao;Ricardo Guerrero;Christian Ledig

  • Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database.

    Christian Ledig;Andreas Schuh;Ricardo Guerrero;Rolf A. Heckemann

  • Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI

    K Kamnitsas;L Chen;C Ledig;D Rueckert

  • Automatic quantification of normal cortical folding patterns from fetal brain MRI

    Robert Wright;Vanessa Kyriakopoulou;Christian Ledig;Mary A. Rutherford

  • Is the deconvolution layer the same as a convolutional layer

    Wenzhe Shi;Jose Caballero;Lucas Theis;Ferenc Huszar

  • Super resolution using a generative adversarial network

    Wenzhe Shi;Christian Ledig;Zehan Wang;Lucas Theis

  • Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI A Diffusion Tensor Imaging Study

    Virginia F. J. Newcombe;Marta M. Correia;Christian Ledig;Maria G. Abate

Frequent Co-Authors

Daniel Rueckert
Daniel Rueckert Technical University of Munich
Konstantinos Kamnitsas
Konstantinos Kamnitsas University of Oxford
Wenzhe Shi
Wenzhe Shi Twitter (United States)
Ben Glocker
Ben Glocker Imperial College London
Frederik Barkhof
Frederik Barkhof University College London
Joseph V. Hajnal
Joseph V. Hajnal King's College London
Alexander Hammers
Alexander Hammers King's College London
Wiesje M. van der Flier
Wiesje M. van der Flier Vrije Universiteit Amsterdam
David K. Menon
David K. Menon University of Cambridge
Paul Aljabar
Paul Aljabar King's College London

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