World's Best Scientists 2026 revealed!
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Computer Science
France
2026

D-Index & Metrics

Computer Science

D-Index
116
Citations
62668
World Ranking
174
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in France Leader Award
  • 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
  • 2009 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Nicholas Ayache is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily spans the fields of Medicine and Computer Science, with 62 and 41 publications respectively. Within these main fields, subfields of study include Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

The scientist's work covers a range of focused topics such as Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, Dementia and Cognitive Impairment Research, Advanced Neural Network Applications, Artificial Intelligence in Healthcare and Education, Prostate Cancer Diagnosis and Treatment, and Advanced X-ray and CT Imaging.

Notable recent papers authored or co-authored by Nicholas Ayache include:

  • How can we combat multicenter variability in MR radiomics? Validation of a correction procedure (2020, European Radiology)
  • Deep reinforcement learning in medical imaging: A literature review (2021, HAL - Le Centre pour la Communication Scientifique Directe)
  • 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)

Frequent co-authors who have collaborated with Nicholas Ayache include Hervé Delingette, Sarah Montagne, Dimitri Hamzaoui, Raphaële Renard-Penna, and Marco Lorenzi.

The scientist's works are often published in venues such as arXiv (Cornell University), European Radiology, Journal of Medical Imaging, Alzheimer's & Dementia, and HAL (Le Centre pour la Communication Scientifique Directe).

Nicholas Ayache has contributed to book publications as well, including a book titled Digital Anatomy published by Springer Nature in 2021.

Among honors received, they were recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2009.

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

  • Medical image analysis: progress over two decades and the challenges ahead

    J.S. Duncan;N. Ayache

  • Diffeomorphic demons: efficient non-parametric image registration.

    Tom Vercauteren;Xavier Pennec;Aymeric Perchant;Nicholas Ayache

  • A Riemannian Framework for Tensor Computing

    Xavier Pennec;Pierre Fillard;Nicholas Ayache

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

    S. Cotin;H. Delingette;N. Ayache

  • The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration

    Alexis Roche;Grégoire Malandain;Xavier Pennec;Nicholas Ayache

  • HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

    Nicholas Ayache;Olivier D. Faugeras

  • Maintaining representations of the environment of a mobile robot

    N. Ayache;O. D. Faugeras

  • Reconstructing a 3D structure from serial histological sections

    Sébastien Ourselin;Alexis Roche;Gérard Subsol;Xavier Pennec

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

    Stéphane Cotin;Hervé Delingette;Nicholas Ayache

  • Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception

    Nicholas Ayache;Peter T. Sander

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

    Nicholas Ayache;Sébastien Ourselin;Anthony Maeder

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

    H. Delingette;S. Cotin;N. Ayache

  • Model-Based Detection of Tubular Structures in 3D Images

    Karl Krissian;Grégoire Malandain;Nicholas Ayache;Régis Vaillant

  • A log-euclidean framework for statistics on diffeomorphisms

    Vincent Arsigny;Olivier Commowick;Xavier Pennec;Nicholas Ayache

  • Rigid, affine and locally affine registration of free-form surfaces

    Jacques Feldmar;Nicholas Ayache

  • Non-parametric diffeomorphic image registration with the demons algorithm

    Tom Vercauteren;Xavier Pennec;Aymeric Perchant;Nicholas Ayache

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach

    Tom Vercauteren;Xavier Pennec;Aymeric Perchant;Nicholas Ayache

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

    Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat

Frequent Co-Authors

Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Grégoire Malandain
Grégoire Malandain French Institute for Research in Computer Science and Automation - INRIA
Tom Vercauteren
Tom Vercauteren King's College London
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Eric Bardinet
Eric Bardinet Université Paris Cité
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Sebastien Ourselin
Sebastien Ourselin King's College London

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