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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
77
Citations
27938
World Ranking
1251
National Ranking
15

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Hervé Delingette is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans multiple disciplines, primarily focused on Medicine, Computer Science, and Engineering, covering extensive work in various specialized subfields of study.

The main fields of Hervé Delingette's research are:

  • Medicine (87 publications)
  • Computer Science (75 publications)
  • Engineering (34 publications)

They have contributed significantly to subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Pulmonary and Respiratory Medicine
  • Biomedical Engineering

Their research topics are focused on several key areas:

  • Medical Image Segmentation Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Prostate Cancer Diagnosis and Treatment
  • Advanced X-ray and CT Imaging
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis

Hervé Delingette has published papers in various scientific venues, frequently contributing to:

  • arXiv (Cornell University) with 13 publications
  • Medical Image Analysis with 5 publications
  • Journal of Medical Imaging with 3 publications
  • Angiology with 3 publications
  • Insights into Imaging with 2 publications

Among their recent papers are the following:

  • Applications of artificial intelligence in cardiovascular imaging, 2021, Nature Reviews Cardiology
  • Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology, 2021, Insights into Imaging
  • Anatomically consistent CNN-based segmentation of organs-at-risk in cranial radiotherapy, 2020, Journal of Medical Imaging
  • Deep Learning for the Detection, Localization, and Characterization of Focal Liver Lesions on Abdominal US Images, 2022, Radiology Artificial Intelligence
  • Anisotropic Soft Robots Based on 3D Printed Meso-Structured Materials: Design, Modeling by Homogenization and Simulation, 2020, IEEE Robotics and Automation Letters

They have worked with several frequent co-authors, including:

  • Nicholas Ayache (30 collaborations)
  • Dimitri Hamzaoui (11 collaborations)
  • Fabien Lareyre (11 collaborations)
  • Raphaële Renard-Penna (10 collaborations)
  • Sarah Montagne (9 collaborations)

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • Real-time elastic deformations of soft tissues for surgery simulation

    S. Cotin;H. Delingette;N. Ayache

  • A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation

    Stéphane Cotin;Hervé Delingette;Nicholas Ayache

  • A hybrid elastic model allowing real-time cutting, deformations and force-feedback for surgery training and simulation

    H. Delingette;S. Cotin;N. Ayache

  • General Object Reconstruction Based on Simplex Meshes

    Hervé Delingette

  • SOFA--an open source framework for medical simulation.

    Jérémie Allard;Stéphane Cotin;François Faure;Pierre-Jean Bensoussan

  • SOFA: A Multi-Model Framework for Interactive Physical Simulation

    François Faure;Christian Duriez;Hervé Delingette;Jérémie Allard

  • Toward realistic soft-tissue modeling in medical simulation

    H. Delingette

  • Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

    Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat

  • 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

  • Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

    Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat

  • A review of deformable surfaces: topology, geometry and deformation

    Johan Montagnat;Hervé Delingette;Nicholas Ayache

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

    Nicholas Ayache;Hervé Delingette;Polina Golland;Kensaku Mori

  • Virtual Reality Applied to Hepatic Surgery Simulation: The Next Revolution

    Jacques Marescaux;Jean-Marie Clément;Vincent Tassetti;Christophe Koehl

  • Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis.

    David Rey;Gérard Subsol;Hervé Delingette;Nicholas Ayache

  • Robust nonrigid registration to capture brain shift from intraoperative MRI

    O. Clatz;H. Delingette;I.-F. Talos;A.J. Golby

  • Non-linear anisotropic elasticity for real-time surgery simulation

    Guillaume Picinbono;Hervé Delingette;Nicholas Ayache

  • Nonlinear and anisotropic elastic soft tissue models for medical simulation

    G. Picinbono;H. Delingette;N. Ayache

  • 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

Frequent Co-Authors

Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS
Stéphane Cotin
Stéphane Cotin French Institute for Research in Computer Science and Automation - INRIA
Grégoire Malandain
Grégoire Malandain French Institute for Research in Computer Science and Automation - INRIA
Kawal Rhode
Kawal Rhode King's College London
Christian Duriez
Christian Duriez University of Lille
Antonio Criminisi
Antonio Criminisi Microsoft (United States)

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