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Maxime Sermesant

Maxime Sermesant

D-Index & Metrics

Computer Science

D-Index
50
Citations
11431
World Ranking
5564
National Ranking
116

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
Kawal Rhode
Kawal Rhode King's College London
Derek L. G. Hill
Derek L. G. Hill Panoramic Digital Health
Dominique Chapelle
Dominique Chapelle French Institute for Research in Computer Science and Automation - INRIA
Grégoire Malandain
Grégoire Malandain French Institute for Research in Computer Science and Automation - INRIA
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Daniel Rueckert
Daniel Rueckert Technical University of Munich

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