World's Best Scientists 2026 revealed!
Ghassan Hamarneh

Ghassan Hamarneh

D-Index & Metrics

Computer Science

D-Index
59
Citations
13760
World Ranking
3429
National Ranking
134

Ghassan Hamarneh 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 Ghassan Hamarneh 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: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Ghassan Hamarneh 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 Ghassan Hamarneh 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: 59 D-Index — 77th percentile

77% 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

  • 2010 - ACM Senior Member

Overview

Ghassan Hamarneh is a researcher affiliated with Simon Fraser University in Canada. Their research primarily spans the fields of Medicine and Computer Science, with a significant focus on Artificial Intelligence applications in medical imaging and healthcare.

Their work includes multiple publications in prominent venues, with frequent contributions to:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Image Analysis
  • Scientific Reports
  • IEEE Transactions on Medical Imaging

Hamarneh's main domains of study include Medicine and Computer Science, further specializing in subfields such as:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Oncology
  • Epidemiology

Their research topics encompass:

  • Cutaneous Melanoma Detection and Management
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Artificial Intelligence in Healthcare and Education
  • Advanced Fluorescence Microscopy Techniques
  • Explainable Artificial Intelligence (XAI)
  • Advanced Neural Network Applications

Some recent papers authored or co-authored by Ghassan Hamarneh include:

  • "Deep semantic segmentation of natural and medical images: a review," 2020, PolyPublie (École Polytechnique de Montréal)
  • "A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods," 2020, Patterns
  • "A survey on deep learning for skin lesion segmentation," 2023, Medical Image Analysis
  • "Guidelines and evaluation of clinical explainable AI in medical image analysis," 2022, Medical Image Analysis
  • "Deep learning for biomedical image reconstruction: a survey," 2020, Research Portal (King's College London)

Frequent collaborators in their research include:

  • Kumar Abhishek
  • Ivan R. Nabi
  • Ben Cardoen
  • Weina Jin
  • Rafeef Garbi

Ghassan Hamarneh has been recognized as an ACM Senior Member since 2010. Their research integrates AI techniques with medical diagnostics, particularly in imaging and oncology contexts, reflecting a multidisciplinary approach bridging technology and medicine.

Best Publications

  • A Survey on Shape Correspondence

    Oliver van Kaick;Hao Zhang;Ghassan Hamarneh;Daniel Cohen-Or

  • Deep semantic segmentation of natural and medical images: a review

    Saeid Asgari Taghanaki;Kumar Abhishek;Joseph Paul Cohen;Julien Cohen-Adad

  • BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.

    Jeremy Kawahara;Colin J. Brown;Steven P. Miller;Brian G. Booth

  • Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets

    Jeremy Kawahara;Sara Daneshvar;Giuseppe Argenziano;Ghassan Hamarneh

  • Combo loss: Handling input and output imbalance in multi-organ segmentation

    Saeid Asgari Taghanaki;Saeid Asgari Taghanaki;Yefeng Zheng;S. Kevin Zhou;Bogdan Georgescu

  • Deep features to classify skin lesions

    Jeremy Kawahara;Aicha BenTaieb;Ghassan Hamarneh

  • A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods.

    Ismail M. Khater;Ivan Robert Nabi;Ghassan Hamarneh

  • Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

    Ching-Wei Wang;Cheng-Ta Huang;Meng-Che Hsieh;Chung-Hsing Li

  • Adversarial Stain Transfer for Histopathology Image Analysis

    Aicha Bentaieb;Ghassan Hamarneh

  • Watershed segmentation using prior shape and appearance knowledge

    Ghassan Hamarneh;Xiaoxing Li

  • $n$ -SIFT: $n$ -Dimensional Scale Invariant Feature Transform

    W. Cheung;G. Hamarneh

  • Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach

    A Yazdanpanah;G Hamarneh;B R Smith;M V Sarunic

  • Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers

    Jeremy Kawahara;Ghassan Hamarneh

  • VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis

    Ghassan Hamarneh;Preet Jassi

  • N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES

    W. Cheung;G. Hamarneh

  • Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells

    Zhi Lu;Gustavo Carneiro;Andrew P. Bradley;Daniela Ushizima

  • Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network

    Anmol Sharma;Ghassan Hamarneh

  • Topology Aware Fully Convolutional Networks for Histology Gland Segmentation

    Aïcha BenTaieb;Ghassan Hamarneh

  • Active learning for interactive 3d image segmentation

    Andrew Top;Ghassan Hamarneh;Rafeef Abugharbieh

  • Deformable organisms for automatic medical image analysis.

    Tim McInerney;Tim McInerney;Ghassan Hamarneh;Ghassan Hamarneh;Martha Elizabeth Shenton;Demetri Terzopoulos;Demetri Terzopoulos

Frequent Co-Authors

Mark E. Schweitzer
Mark E. Schweitzer Wayne State University
Steven P. Miller
Steven P. Miller University of Toronto
Torsten Möller
Torsten Möller University of Vienna
Hao Zhang
Hao Zhang Simon Fraser University
Allard Jongman
Allard Jongman University of Kansas
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Mark S. Drew
Mark S. Drew Simon Fraser University
Yefeng Zheng
Yefeng Zheng Tencent (China)
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)

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