World's Best Scientists 2026 revealed!
Maxime Sermesant

Maxime Sermesant

D-Index & Metrics

Computer Science

D-Index
50
Citations
11431
World Ranking
5565
National Ranking
116

Maxime Sermesant 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 Maxime Sermesant 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: 266 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.

Maxime Sermesant 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 Maxime Sermesant 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Maxime Sermesant is affiliated with Université Côte d'Azur in France, focusing on research in medicine, specifically within cardiology and cardiovascular medicine. Their work integrates fields such as radiology, nuclear medicine and imaging, pulmonary and respiratory medicine, biomedical engineering, and computer vision and pattern recognition.

Their research emphasizes several core topics:

  • Cardiac Imaging and Diagnostics
  • Cardiovascular Function and Risk Factors
  • Cardiac electrophysiology and arrhythmias
  • Cardiac Valve Diseases and Treatments
  • Advanced MRI Techniques and Applications
  • Atrial Fibrillation Management and Outcomes
  • Cardiac Arrhythmias and Treatments

Among their recent papers is Applications of artificial intelligence in cardiovascular imaging (2021), published in Nature Reviews Cardiology. Other notable publications include:

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging, 2020, Medical Image Analysis
  • Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge, 2022, Medical Image Analysis
  • Three-dimensional right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading, 2020, European Heart Journal - Cardiovascular Imaging
  • Deep learning formulation of electrocardiographic imaging integrating image and signal information with data-driven regularization, 2020, EP Europace

Frequent coauthors of Maxime Sermesant include:

  • Hubert Cochet
  • Pierre Jaï­s
  • Marta Nuñez-Garcia
  • Óscar Cámara
  • Buntheng Ly

The main venues where they publish work comprise:

  • EP Europace
  • Heart Rhythm
  • arXiv (Cornell University)
  • European Heart Journal - Cardiovascular Imaging
  • Archives of Cardiovascular Diseases Supplements

Maxime Sermesant has authored multiple book publications under Springer Science+Business Media, including titles such as:

  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (2022)
  • Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges (2021)
  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers (2024)
  • Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (2022)

Best Publications

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

    Olivier Bernard;Alain Lalande;Clement Zotti;Frederick Cervenansky

  • Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation

    O. Clatz;M. Sermesant;P.-Y. Bondiau;H. Delingette

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • SVF-Net: Learning Deformable Image Registration Using Shape Matching

    Marc-Michel Rohé;Manasi Datar;Tobias Heimann;Maxime Sermesant

  • Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation

    Maxime Sermesant;Radomir Chabiniok;Phani Pradeep Chinchapatnam;T. Mansi

  • An electromechanical model of the heart for image analysis and simulation

    M. Sermesant;H. Delingette;N. Ayache

  • Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.

    Radomir Chabiniok;Radomir Chabiniok;Vicky Y. Wang;Myrianthi Hadjicharalambous;Liya Asner

  • Functional Imaging and Modeling of the Heart

    Nicholas Ayache;Hervé Delingette;Maxime Sermesant

  • iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues

    Tommaso Mansi;Xavier Pennec;Maxime Sermesant;Hervé Delingette

  • A system for real-time XMR guided cardiovascular intervention

    K.S. Rhode;M. Sermesant;D. Brogan;S. Hegde

  • Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties.

    Maxime Sermesant;Philippe Moireau;Oscar Camara;Jacques Sainte-Marie

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART

    Oscar Camara;Mihaela Pop;Kawal Rhode;Maxime Sermesant

  • A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts

    J.-M. Peyrat;M. Sermesant;X. Pennec;H. Delingette

  • Deformable biomechanical models: application to 4D cardiac image analysis.

    Maxime Sermesant;Clément Forest;Xavier Pennec;Hervé Delingette

  • Application of soft tissue modelling to image-guided surgery.

    Timothy J. Carter;Maxime Sermesant;David M. Cash;Dean C. Barratt

  • euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling

    Nic Smith;Nic Smith;Adelaide de Vecchi;Matthew McCormick;David Nordsletten

  • Applications of artificial intelligence in cardiovascular imaging.

    Maxime Sermesant;Hervé Delingette;Hubert Cochet;Pierre Jaïs

  • A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database

    M. Alessandrini;M. De Craene;O. Bernard;S. Giffard-Roisin

  • A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts

    Ruben Doste;David Soto‐Iglesias;Gabriel Bernardino;Alejandro Alcaine

  • Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges

    Oscar Camara;Tommaso Mansi;Mihaela Pop;Kawal Rhode

  • Functional Imaging and Modeling of the Heart, 5th International Conference, FIMH 2009, Nice, France, June 3-5, 2009. Proceedings

    Nicholas Ayache;Herve Delingette;Maxime Sermesant

Frequent Co-Authors

Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Reza Razavi
Reza Razavi King's College London
Kawal Rhode
Kawal Rhode King's College London
Pierre Jaïs
Pierre Jaïs University of Bordeaux
Derek L. G. Hill
Derek L. G. Hill Panoramic Digital Health
Elliot R. McVeigh
Elliot R. McVeigh University of California, San Diego
Olivier Bernard
Olivier Bernard University of Paris-Saclay
Michel Haïssaguerre
Michel Haïssaguerre University of Bordeaux

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