World's Best Scientists 2026 revealed!
Pierre-Marc Jodoin

Pierre-Marc Jodoin

D-Index & Metrics

Computer Science

D-Index
46
Citations
16073
World Ranking
6669
National Ranking
262

Pierre-Marc Jodoin 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 Pierre-Marc Jodoin 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Pierre-Marc Jodoin 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 Pierre-Marc Jodoin 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Pierre-Marc Jodoin is affiliated with Université de Sherbrooke in Canada. Their research spans the intersecting domains of medicine and computer science, with a focus on imaging and analysis techniques relevant to healthcare.

Their recent publications highlight contributions to medical image synthesis, segmentation, and analysis. Notable papers include:

  • GANs for Medical Image Synthesis: An Empirical Study (2023), published in Journal of Imaging
  • ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans (2022), published in Medical Image Analysis
  • LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography (2020), published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • Filtering in tractography using autoencoders (FINTA) (2021), published in Medical Image Analysis
  • Generative Adversarial Networks in Cardiology (2021), published in Canadian Journal of Cardiology

Their work has been disseminated across several publication venues, including:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • Frontiers in Neuroimaging
  • MDPI (MDPI AG)

Frequent collaborators associated with their research include Maxime Descoteaux, Antoine Théberge, Christian Desrosiers, Olivier Bernard, and Jon Haitz Legarreta.

The scientist's main fields of study are Medicine and Computer Science, with significant expertise in the following subfields:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Pediatrics, Perinatology and Child Health
  • Cardiology and Cardiovascular Medicine

The specific research topics addressed in their publications cover:

  • Advanced Neuroimaging Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Advanced MRI Techniques and Applications
  • Medical Imaging and Analysis
  • Advanced Neural Network Applications
  • Cardiovascular Function and Risk Factors
  • Cardiac Imaging and Diagnostics

Best Publications

  • Brain tumor segmentation with Deep Neural Networks

    Mohammad Havaei;Axel Davy;David Warde-Farley;Antoine Biard

  • Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

    Olivier Bernard;Alain Lalande;Clement Zotti;Frederick Cervenansky

  • Changedetection.net: A new change detection benchmark dataset

    Nil Goyette;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography

    Sarah Leclerc;Erik Smistad;Joao Pedrosa;Andreas Ostvik

  • CDnet 2014: An Expanded Change Detection Benchmark Dataset

    Yi Wang;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • Non-local Deep Features for Salient Object Detection

    Zhiming Luo;Akshaya Mishra;Andrew Achkar;Justin Eichel

  • 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

  • Comparative study of background subtraction algorithms

    Yannick Benezeth;Pierre-Marc Jodoin;Bruno Emile;Hélène Laurent

  • Review and evaluation of commonly-implemented background subtraction algorithms

    Y. Benezeth;P.M. Jodoin;B. Emile;H. Laurent

  • Interactive deep learning method for segmenting moving objects

    Yi Wang;Zhiming Luo;Pierre-Marc Jodoin

  • Fast hierarchical importance sampling with blue noise properties

    Victor Ostromoukhov;Charles Donohue;Pierre-Marc Jodoin

  • Abnormal events detection based on spatio-temporal co-occurences

    Unknown

  • Abnormal events detection based on spatio-temporal co-occurences

    Y Benezeth;P.-M Jodoin;V Saligrama;C Rosenberger

  • Foreground-Adaptive Background Subtraction

    J.M. McHugh;J. Konrad;V. Saligrama;P.-M. Jodoin

  • GANs for Medical Image Synthesis: An Empirical Study.

    Youssef Skandarani;Pierre-Marc Jodoin;Alain Lalande

  • Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation

    Clement Zotti;Zhiming Luo;Alain Lalande;Pierre-Marc Jodoin

  • Video Anomaly Identification

    V Saligrama;J Konrad;P Jodoin

  • A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles.

    Martin Cousineau;Pierre-Marc Jodoin;Eleftherios Garyfallidis;Marc-Alexandre Côté

  • MIO-TCD: A new benchmark dataset for vehicle classification and localization.

    Zhiming Luo;Frederic B-Charron;Carl Lemaire;Janusz Konrad

  • Statistical Background Subtraction Using Spatial Cues

    P.-M. Jodoin;M. Mignotte;J. Konrad

  • A Convolutional Neural Network Approach to Brain Tumor Segmentation

    Mohammad Havaei;Francis Dutil;Chris Pal;Hugo Larochelle

  • Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

    Mihaela. Pop;Maxime. Sermesant

Frequent Co-Authors

Venkatesh Saligrama
Venkatesh Saligrama Boston University
Janusz Konrad
Janusz Konrad Boston University
Maxime Descoteaux
Maxime Descoteaux Université de Sherbrooke
Olivier Bernard
Olivier Bernard University of Paris-Saclay
Hugo Larochelle
Hugo Larochelle Google (United States)
Zhiming Luo
Zhiming Luo Xiamen University
Shaozi Li
Shaozi Li Xiamen University
Christian Desrosiers
Christian Desrosiers École de Technologie Supérieure
Christophe Rosenberger
Christophe Rosenberger Université de Caen Normandie
Jose Dolz
Jose Dolz École de Technologie Supérieure

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