World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6742
World Ranking
11118
National Ranking
439

Christian Desrosiers 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 Desrosiers 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: 264 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Christian Desrosiers 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 Desrosiers 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Christian Desrosiers is affiliated with the École de Technologie Supérieure in Canada. Their research primarily spans the fields of Computer Science and Medicine, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Neurology.

Their scholarly work covers main topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Medical Image Segmentation Techniques, AI in cancer detection, Advanced Neuroimaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, and general Medical Imaging and Analysis.

Desrosiers has published extensively in various venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • Pattern Recognition
  • IEEE Access

Among recent papers authored or co-authored by Desrosiers are:

  • Boundary loss for highly unbalanced segmentation, 2020, Medical Image Analysis
  • Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature, 2021, Frontiers in Aging Neuroscience
  • Deep co-training for semi-supervised image segmentation, 2020, Pattern Recognition
  • Federated Learning for Healthcare Applications, 2023, IEEE Internet of Things Journal
  • Self-paced and self-consistent co-training for semi-supervised image segmentation, 2021, Medical Image Analysis

Collaborative work is an important aspect of Desrosiers' career. Frequent co-authors include:

  • Ismail Ben Ayed
  • José Dolz
  • Hervé Lombaert
  • Ahmad Chaddad
  • David Osowiechi

Best Publications

  • A Comprehensive Survey of Neighborhood-based Recommendation Methods

    Christian Desrosiers;George Karypis

  • Boundary loss for highly unbalanced segmentation.

    Hoel Kervadec;Jihene Bouchtiba;Christian Desrosiers;Eric Granger

  • HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation

    Jose Dolz;Karthik Gopinath;Jing Yuan;Herve Lombaert

  • A Comprehensive Survey of Neighborhood-based Recommendation Methods

    Unknown

  • 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.

    Jose Dolz;Christian Desrosiers;Ismail Ben Ayed

  • Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature.

    Jie Mei;Christian Desrosiers;Johannes Frasnelli

  • Deep co-training for semi-supervised image segmentation

    Jizong Peng;Guillermo Estrada;Marco Pedersoli;Christian Desrosiers

  • Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

    Li Wang;Dong Nie;Guannan Li;Elodie Puybareau

  • Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning.

    Arnab Kumar Mondal;Jose Dolz;Christian Desrosiers

  • Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

    Jose Dolz;Christian Desrosiers;Li Wang;Jing Yuan

  • Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder

    Ahmad Chaddad;Ahmad Chaddad;Christian Desrosiers;Lama Hassan;Camel Tanougast

  • Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities

    Jose Dolz;Ismail Ben Ayed;Christian Desrosiers

  • Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

    Aaron Carass;Jennifer L. Cuzzocreo;Shuo Han;Carlos R. Hernandez-Castillo

  • Esophagus segmentation in CT via 3D fully convolutional neural network and random walk

    Tobias Fechter;Sonja Adebahr;Dimos Baltas;Ismail Ben Ayed

  • IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet

    Jose Dolz;Christian Desrosiers;Ismail Ben Ayed

  • Federated Learning for Healthcare Applications

    Unknown

  • Deep Radiomic Analysis of MRI Related to Alzheimer’s Disease

    Ahmad Chaddad;Christian Desrosiers;Tamim Niazi

  • Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

    Jose Dolz;Xiaopan Xu;Jérôme Rony;Jing Yuan

  • Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time

    Ahmad Chaddad;Paul Daniel;Christian Desrosiers;Matthew Toews

  • Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age

    Ahmad Chaddad;Christian Desrosiers;Matthew Toews

  • Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network.

    Hawraa Haj-Hassan;Ahmad Chaddad;Youssef Harkouss;Christian Desrosiers

  • Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation.

    Karthik Gopinath;Christian Desrosiers;Herve Lombaert

  • High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity

    Mingli Zhang;Christian Desrosiers

  • Self-paced and self-consistent co-training for semi-supervised image segmentation

    Ping Wang;Jizong Peng;Marco Pedersoli;Yuanfeng Zhou

  • Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

    Jose Dolz;Xiaopan Xu;Jerome Rony;Jing Yuan

Frequent Co-Authors

Jose Dolz
Jose Dolz École de Technologie Supérieure
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Caiming Zhang
Caiming Zhang Shandong University
Alain Hertz
Alain Hertz Polytechnique Montréal
Eric Granger
Eric Granger École de Technologie Supérieure
Pierre-Marc Jodoin
Pierre-Marc Jodoin Université de Sherbrooke
Kaleem Siddiqi
Kaleem Siddiqi McGill University
Pierre Hansen
Pierre Hansen HEC Montréal
George Karypis
George Karypis University of Minnesota

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