N. Ayache

发表

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2007, SIAM J. Matrix Anal. Appl..

Log‐Euclidean metrics for fast and simple calculus on diffusion tensors

N. Ayache, V. Arsigny, P. Fillard, 2006, Magnetic resonance in medicine.

Fast and Simple Computations on Tensors with Log-Euclidean Metrics.

N. Ayache, V. Arsigny, P. Fillard, 2005 .

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

Olivier D. Faugeras, Nicholas Ayache, O. Faugeras, 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical models of sets of curves and surfaces based on currents

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2009, Medical Image Anal..

Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics

N. Ayache, V. Arsigny, P. Fillard, 2007 .

Generation of a Statistical Shape Model with Probabilistic Point Correspondences and EM-ICP

N. Ayache, J. Ehrhardt, H. Handels, .

Landmark-based registration using features identified through differential geometry

N. Ayache, X. Pennec, J. Thirion, 2000 .

Measuring brain variability by extrapolating sparse tensor fields measured on sulcal lines

Paul M. Thompson, Nicholas Ayache, Kiralee M. Hayashi, 2007, NeuroImage.

Smoothing and matching of 3-d space curves

Nicholas Ayache, André P. Guéziec, A. Guéziec, 1992, Other Conferences.

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

N. Ayache, G. Malandain, J. Marescaux, 2001 .

Fast segmentation, tracking, and analysis of deformable objects

Nicholas Ayache, Chahab Nastar, C. Nastar, 1993, 1993 (4th) International Conference on Computer Vision.

Non-Rigid Motion Analysis in Medical Images: a Physically Based Approach

Nicholas Ayache, Chahab Nastar, C. Nastar, 1993, IPMI.

A Parametric Deformable Model to Fit Unstructured 3D Data

Laurent D. Cohen, Nicholas Ayache, Eric Bardinet, 1998, Comput. Vis. Image Underst..

Spatio-temporal analysis of nonrigid motion from 4D data

C. Nastar, N. Ayache, 1994, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects.

Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy

Hervé Delingette, Simon R. Arridge, Kawal S. Rhode, 2009, FIMH.

A General Scheme for Automatically Building 3D Morphometric Anatomical Atlases: application to a Sku

Nicholas Ayache, Gérard Subsol, Jean-Philippe Thirion, 1995 .

Multimodal Image Registration by Maximization of the Correlation Ratio

N. Ayache, G. Malandain, X. Pennec, 1998 .

Superquadrics and Free-Form Deformations: A Global Model to Fit and Track 3D Medical Data

Laurent D. Cohen, Nicholas Ayache, Eric Bardinet, 1995, CVRMed.

Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2012, IEEE Transactions on Biomedical Engineering.

Coupled Personalisation of Cardiac Electrophysiology Models for Prediction of Ischemic Ventricular Tachycardia

N. Ayache, H. Delingette, Maxime Sermesant, 2011 .

Rectification of images for binocular and trinocular stereovision

Charles Hansen, Nicholas Ayache, N. Ayache, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Trinocular Stereovision: Recent Results

N. Ayache, F. Lustman, 1987, IJCAI.

Integrating Tactile and Force Feedback with Finite Element Models

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Towards a Statistical Atlas of Cardiac Fiber Structure

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2006, MICCAI.

AN INTERACTIVE INTENSITY-AND FEATURE-BASED NON-RIGID REGISTRATION FRAMEWORK FOR 3 D MEDICAL IMAGES

N. Ayache, X. Pennec, A. Azar, 2005 .

Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Posteriori Validation of Pre-operative Planning in Functional Neurosurgery by Quantification of Brain Pneumocephalus

Nicholas Ayache, Alexis Roche, Didier Dormont, 2002, MICCAI.

Groupwise Spectral Log-Demons Framework for Atlas Construction

Leo Grady, Nicholas Ayache, Farida Cheriet, 2012, MCV.

Interoperative Biopsy Site Relocalization in Endoluminal Surgery

Luc Soler, Nicholas Ayache, Anant Suraj Vemuri, 2016, IEEE Transactions on Biomedical Engineering.

Bi-invariant Means in Lie Groups. Application to Left-invariant Polyaffine Transformations

N. Ayache, V. Arsigny, X. Pennec, 2006 .

DTI registration with exact finite-strain differential

Olivier Clatz, Nicholas Ayache, B. T. Thomas Yeo, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Towards Optical Biopsies with an Integrated Fibered Confocal Fluorescence Microscope

Nicholas Ayache, Georges Le Goualher, Aymeric Perchant, 2004, MICCAI.

Retrospective evaluation of intersubject brain registration

D. Louis Collins, Isabelle Corouge, Nicholas Ayache, 2003, IEEE Transactions on Medical Imaging.

Surface simplex meshes for 3D medical image segmentation

Johan Montagnat, Hervé Delingette, Nicholas Ayache, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions

Hervé Delingette, Luc Soler, Nicholas Ayache, 2006, Proceedings of the IEEE.

c ○ 2004 Kluwer Academic Publishers. Manufactured in The Netherlands. Isotropic Energies, Filters and Splines for Vector Field Regularization

Nicholas Ayache, Pascal Cathier, N. Ayache, 2022 .

Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation

Hervé Delingette, Nicholas Ayache, Ezequiel Geremia, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Glioblastoma growth modeling for radiotherapy target delineation.

N. Ayache, E. Konukoglu, B. Menze, 2011 .

DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential

Olivier Clatz, Nicholas Ayache, B. T. Thomas Yeo, 2009, IEEE Transactions on Medical Imaging.

Spatially Adaptive Random Forests

Nicholas Ayache, Ezequiel Geremia, Bjoern H. Menze, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

A Global Criterion for the Computation of Statistical Shape Model Parameters Based on Correspondence Probabilities

Nicholas Ayache, Xavier Pennec, Heinz Handels, 2008, Bildverarbeitung für die Medizin.

Mapping the Effects of Aβ 1 - 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2011, MICCAI.

Fusion of Histological Sections and MR Images: Towards the Construction of an Atlas of the Human Basal Ganglia

Sébastien Ourselin, Nicholas Ayache, Grégoire Malandain, 2001, MICCAI.

Extension of the ICP Algorithm to Nonrigid Intensity-Based Registration of 3D Volumes

Nicholas Ayache, Grégoire Malandain, Jérôme Declerck, 1997, Comput. Vis. Image Underst..

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

Nicholas Ayache, Mert R. Sabuncu, B. T. Thomas Yeo, 2010, IEEE Transactions on Medical Imaging.

Spherical Demons: Fast Surface Registration

Nicholas Ayache, Mert R. Sabuncu, B. T. Thomas Yeo, 2008, MICCAI.

Finite element modeling for surgery simulation

Hervé Delingette, Nicholas Ayache, Marina Vidrascu, 2001 .

A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments

Hervé Delingette, Nicholas Ayache, Xavier Pennec, 2019, NeuroImage.

Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images

Alzheimer's Disease Neuroimaging Initiative, N. Ayache, X. Pennec, 2015, Neurobiology of Aging.

Multimodal Brain Warping Using the Demons Algorithm and Adaptative Intensity Corrections

N. Ayache, A. Guimond, J. Meunier, 1999 .

Analyzing the Deformation of the Left Ventricle of the Heart with a Parametric Deformable Model

L. Cohen, N. Ayache, É. Bardinet, 1996 .

Maintaining representations of the environment of a mobile robot

Olivier Faugeras, Nicholas Ayache, O. Faugeras, 1988, IEEE Trans. Robotics Autom..

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

Hervé Delingette, Polina Golland, Kensaku Mori, 2012, Lecture Notes in Computer Science.

Augmented Reality guided radio-frequency tumor ablation

N. Ayache, X. Pennec, L. Soler, 2003 .

Fully Automatic Anatomical, Pathological, and Functional Segmentation from CT Scans for Hepatic Surgery

N. Ayache, G. Malandain, J. Marescaux, 2001 .

Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation

Herve Delingette, Nicholas Ayache, Stephane Cotin, 1999, IEEE Trans. Vis. Comput. Graph..

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

Nicholas Ayache, Jacques Feldmar, N. Ayache, 1996, International Journal of Computer Vision.

Nonlinear and anisotropic elastic soft tissue models for medical simulation

Hervé Delingette, Nicholas Ayache, Guillaume Picinbono, 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

A preliminary investigation of the problem of determining ego- and object motions from stereo

O. Faugeras, Zhengyou Zhang, N. Ayache, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Multimodal Elastic Matching of Brain Images

Nicholas Ayache, Alexis Roche, Jean Meunier, 2000, ECCV.

Fast Non Rigid Matching by Gradient Descent: Study and Improvements of the "Demons" Algorithm

N. Ayache, X. Pennec, P. Cachier, 1999 .

Building visual maps by combining noisy stereo measurements

Olivier D. Faugeras, Nicholas Ayache, Bernard Faverjon, 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

Construction et fusion de représentations visuelles (3D) : applications à la robotique mobile

N. Ayache, 1988 .

A Riemannian Framework for Tensor Computing

Xavier Pennec, Pierre Fillard, Nicholas Ayache, 2005, International Journal of Computer Vision.

Building Highly Structured Volume Representations in 3D Medical Images

Laurent D. Cohen, Olivier Monga, Bernhard Geiger, 1989 .

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Joint segmentation via patient-specific latent anatomy model

Bjoern H Menze, P. Golland, N. Ayache, 2009 .

Brain Tumor Growth Simulation

N. Ayache, G. Malandain, H. Delingette, 2004 .

Segmenting Glioma in Multi-Modal Images using a Generative Model for Brain Lesion Segmentation

D. Lashkari, P. Golland, N. Ayache, 2012 .

Probabilisthc Model Personalization using an Efficient Framework: Application to Eikonal-Diffusion Models in Cardiac Electrophysiology

Ender Konukoglu, Maxime Sermesant, Phani Chinchapatnam, 2011 .

Inter-operative Trajectory Registration for Endoluminal Video Synchronization: Application to Biopsy Site Re-localization

Luc Soler, Nicholas Ayache, Anant Suraj Vemuri, 2013, MICCAI.

Virtual reality and augmented reality in digestive surgery

Luc Soler, Jérôme Schmid, Nicholas Ayache, 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

Medical Computer Vision, Virtual Reality and Robotics: Promising Research Tracks

Nicholas Ayache, N. Ayache, 1995, BMVC.

Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data

Philippe Robert, Nicholas Ayache, Marco Lorenzi, 2019, NeuroImage.

A multisubject anatomo-functional parcellation of the brain

Nicholas Ayache, William D. Penny, Jean-Baptiste Poline, 2003 .

A Multiscale Feature Detector for Morphological Analysis of the Brain

Nicholas Ayache, Marius George Linguraru, Miguel Ángel González Ballester, 2003, MICCAI.

Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts

Hervé Delingette, Nicholas Ayache, Patrick Clarysse, 2011, STACOM.

Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease

Philippe Robert, Nicholas Ayache, Marco Lorenzi, 2018, MLCN/DLF/iMIMIC@MICCAI.

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

Stephane Cotin, Hervé Delingette, Nicholas Ayache, 1999, Proceedings Computer Animation 1999.

Atlas-based automatic segmentation of MR images: validation study on the brainstem in radiotherapy context.

N. Ayache, O. Commowick, G. Malandain, 2005, International journal of radiation oncology, biology, physics.

Fully Automatic Brain Tumor Segmentation from Multiple MR Sequences using Hidden Markov Fields and Variational

Carlos A. Silva, N. Ayache, R. Meier, 2013 .

Three-dimensional reconstruction of stained histological slices and 3D non-linear registration with in-vivo MRI for whole baboon brain

N. Ayache, J. Mangin, V. Frouin, 2007, Journal of Neuroscience Methods.

Texture-based classification of confocal laser endomicroscopy images for Barrett’s esophagus surveillance

N. Ayache, F. Lacombe, G. Nardi, 2019 .

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics.

Fanny Orlhac, I. Buvat, N. Ayache, 2019, Radiology.

A Parametric Deformable Model to T Unstructured 3d Data a Parametric Deformable Model to T Unstructured 3d Data

L. Cohen, N. Ayache, É. Bardinet, 1995 .

Segmenting Glioma in Multi-Modal Images using a Generative-Discriminative Model for Brain Lesion Segmentation

N. Ayache, G. Székely, E. Geremia, 2012 .

Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration.

A. Trouvé, N. Ayache, X. Pennec, 2012, Journal of human evolution.

Biophysical Modeling Predicts Ventricular Tachycardia Inducibility and Circuit Morphology: A Combined Clinical Validation and Computer Modeling Approach

P. Taggart, N. Ayache, H. Delingette, 2016, Journal of cardiovascular electrophysiology.

radio-frequency tumour ablation

N. Ayache, X. Pennec, L. Soler, 2005 .

Patch-based Segmentation of Brain Tissues

N. Ayache, M. Reyes, J. Kirby, 2013 .

3 D Convolutional Neural Networks for Tumor Segmentation using Long-range 2 D Context

A. Criminisi, N. Ayache, H. Delingette, 2018 .

Computation of a probabilistic statistical shape model in a maximum-a-posteriori framework.

N. Ayache, J. Ehrhardt, H. Handels, 2009, Methods of information in medicine.

Global and local parameter estimation of a model of the electrical activity of the heart

N. Ayache, H. Delingette, E. McVeigh, 2004 .

Joint Estimation and Smoothing of Clinical DT-MRI with a Log-Euclidean Metric

N. Ayache, V. Arsigny, P. Fillard, 2005 .

Definition and Evaluation of MRI-Based Measures for the Neuroradiological Investigation of Creutzfeld-Jakob Diseases

N. Ayache, M. Linguraru, 2005 .

Early diagnosis of human TSE by multimodality MRI: Spectroscopic detection of thalamic gliosis in a patient with FFI and normal FLAIR and diffusion-weighted imaging

N. Ayache, J. Hauw, D. Galanaud, 2005 .

Respiratory motion compensation within emission tomographic reconstruction

N. Ayache, G. Malandain, M. Reyes, 2005 .

Assessment of brace local action on vertebrae relative poses.

N. Ayache, X. Pennec, F. Cheriet, 2006, Studies in health technology and informatics.

Statistics on Diffeomorphisms in a Log-Euclidean Framework

N. Ayache, O. Commowick, V. Arsigny, 2006 .

A novel framework for the 3D analysis of spine deformation modes.

N. Ayache, X. Pennec, F. Cheriet, 2006, Studies in health technology and informatics.

Evaluating Brain Anatomical Correlations via Canonical Correlation Analysis of Sulcal Lines

P. Thompson, N. Ayache, P. Fillard, 2007 .

Polyrigid and polyaffine transformations: A novel geometrical tool to deal with non-rigid deformations - Application to the registration of histological slices

Nicholas Ayache, Xavier Pennec, Vincent Arsigny, 2005, Medical Image Anal..

Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps.

Nicholas Ayache, Barbara André, Tom Vercauteren, 2012, World journal of gastroenterology.

Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval

Nicholas Ayache, Barbara André, Tom Vercauteren, 2014, MICCAI.

An automatic virtual patient reconstruction from CT-scans for hepatic surgical planning.

G Malandain, H Delingette, N Ayache, 2000, Studies in health technology and informatics.

Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineation

Nicholas Ayache, Ender Konukoglu, Bjoern H Menze, 2013, Physics in medicine and biology.

A three-dimensional histological atlas of the human basal ganglia. II. Atlas deformation strategy and evaluation in deep brain stimulation for Parkinson disease.

Nicholas Ayache, Grégoire Malandain, Didier Dormont, 2009, Journal of neurosurgery.

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

Helko Lehmann, Alejandro F. Frangi, Hervé Delingette, 2011, Interface Focus.

MRI Based Bayesian Personalization of a Tumor Growth Model.

N. Ayache, Jayashree Kalpathy-Cramer, H. Delingette, 2016, IEEE transactions on medical imaging.

LCC-Demons: a robust and accurate dieomorphic registration algorithm

Nicholas Ayache, Sophia Antipolis, Xavier Pennec, 2013 .

Using Surface Curvatures for 3-D Image Registration

Nicholas Ayache, André Guéziec, Serge Benayoun, 1992 .

New Results - Computational Anatomy

Alain Trouvé, Hervé Delingette, Maxime Sermesant, 2006 .

Processing of in vivo fibered confocal microscopy video sequences

Nicholas Ayache, Grégoire Malandain, Tom Vercauteren, 2008 .

New Results - Clinical and Biological Validation

Nicholas Ayache, Grégoire Malandain, Olivier Commowick, 2005 .

Algorithm for 3 D Substructure Matching of Proteins

N. Ayache, X. Pennec, 1994 .

Automatic zonal segmentation of the prostate from 2D and 3D T2-weighted MRI and evaluation for clinical use

N. Ayache, H. Delingette, S. Montagne, 2022, Journal of medical imaging.

Medical image tracking

Nicholas Ayache, Isabelle Herlin, Isaac Cohen, 1993 .

Impact of the surgical experience on cochleostomy location: a comparative temporal bone study between endaural and posterior tympanotomy approaches for cochlear implantation

N. Ayache, H. Delingette, T. Demarcy, 2016, European Archives of Oto-Rhino-Laryngology.

Progress towards model-based estimation of the cardiac electromechanical activity from ECG signals and 4D images

Dominique Chapelle, Maxime Sermesant, Frédérique Clément, 2002 .

From voxels to curvature features

N. Ayache, O. Monga, P. T. Sander, 1992 .

Monitoring slowly evolving tumors

Nicholas Ayache, Kilian M. Pohl, Ron Kikinis, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Regional ux analysis of longitudinal atrophy in Alzheimer ' s disease

N. Ayache, X. Pennec, Lorenzi Marco, 2012 .

Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis

Nicholas Ayache, Stanley Durrleman, Olivier Colliot, 2019, Journal of medical imaging.

Touchless user interface for intraoperative image control: almost there.

Olivier Clatz, Nicholas Ayache, Antoine Iannessi, 2014, Radiographics : a review publication of the Radiological Society of North America, Inc.

New Results - Medical Image Analysis

Hervé Delingette, Olivier Clatz, Ezequiel Geremia, 2009 .

Towards joint morphometry of white matter tracts and gray matter surfaces

N. Ayache, S. Durrleman, Y. Worbe, 2013 .

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part I

Nicholas Ayache, Sebastien Ourselin, Anthony Maeder, 2007, MICCAI.

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

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, Functional Imaging and Modeling of the Heart.

Supplementary Material of the paper: "Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease"

Philippe Robert, Nicholas Ayache, Marco Lorenzi, 2018 .

Geometric matcher for recognizing and positioning 3-D rigid objects from passive stereo

Olivier D. Faugeras, Nicholas Ayache, Bernard Faverjon, 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

Accurate and Robust Registration of 3D medical images using crest lines

Nicholas Ayache, Jean-Philippe Thirion, André Guéziec, 1993 .

Proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling

Hervé Delingette, Nicholas Ayache, N. Ayache, 2003 .

A new representation of fMRI data using anatomo-functional constraints

Nicholas Ayache, Jean-Baptiste Poline, Guillaume Flandin, 2001 .

Electronic device for image registration

Nicholas Ayache, Grégoire Malandain, Alexis Roche, 1999 .

Editorial: Special Issue on Medical Robotics

Nicholas Ayache, Jaydev P. Desai, J. Desai, 2009, Int. J. Robotics Res..

The Digital Health Revolution - Introduction to the Special Theme

Sara Colantonio, Nicholas Ayache, N. Ayache, 2019, ERCIM News.

First international conference on computer vision, virtual reality and robotics in medicine, CVRMed'95

Nicholas Ayache, N. Ayache, 1994 .

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II

Nicholas Ayache, Sebastien Ourselin, Anthony Maeder, 2007, MICCAI.

Radiomics: How to Make Medical Images Speak?

Charles Bouveyron, Nicholas Ayache, Fanny Orlhac, 2019, ERCIM News.

The Digital Patient - Introduction to the special theme

Ioannis G. Tollis, Nicholas Ayache, N. Ayache, 2007, ERCIM News.

Special issue on the 10th International Conference on Medical Imaging and Computer Assisted Intervention--MICCAI 2007. Editorial.

Sébastien Ourselin, Nicholas Ayache, N. Ayache, 2008, Medical image analysis.

Building 3-D Edge-Lines Tracked in an Image Sequence

Nicholas Ayache, Thomas Skordas, Pierre Puget, 1989, IAS.

Fusing 3-D ultrasound and MRI for real-time image-guided neurosurgery

Nicholas Ayache, Xavier Pennec, Pascal Cachier, 2001 .

Image-based modelling

Alejandro F. Frangi, David Atkinson, Denis Friboulet, 2014 .

Liver Segmentation in Contrast Enhanced Helical CT-Scans

Johan Montagnat, Hervé Delingette, Jacques Marescaux, 1997 .

HEPATIC SIMULATION Creating a simulator for training physicians to perform minimally invasive surgical procedures.

N. Ayache, H. Delingette, 2005 .

Voxel-based assessments of treatment effects on longitudinal brain changes in the Multidomain Alzheimer Preventive Trial cohort

V. Manera, N. Ayache, X. Pennec, 2020, Neurobiology of Aging.

Electronic device for image data processing apparatus for simulating the behavior of an object deformable

Stephane Cotin, Hervé Delingette, N. Ayache, 1997 .

Cutting Simulation of Manifold Volumetric Meshes

N. Ayache, H. Delingette, Clement Forest, 2002, MICCAI.

Planification Chirurgicale Hépatique Assistée par Ordinateur

Hervé Delingette, Nicholas Ayache, Grégoire Malandain, 2000 .

A New Metric for Detecting Change in Slowly Evolving Brain Tumors: Validation in Meningioma Patients

Nicholas Ayache, Ron Kikinis, Ender Konukoglu, 2011, Neurosurgery.

Electronic image data processing device for simulating the behavior of a deformable object

Hervé Delingette, Nicholas Ayache, Stephane Cotin, 1998 .

A new 3D segmentation of liver neoplasm, portal venous system and parenchymal contours

Johan Montagnat, Hervé Delingette, Luc Soler, 2000 .

Software - Yav++ Software

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2003 .

Analysis and Simulation of Biomedical Images

Johan Montagnat, Hervé Delingette, Luc Soler, 2006 .

Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Correlating currents-based shape parameters of the right ventricle with clinical variables: Application to tetralogy of Fallot

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Contracts and Grants with Industry - Microsoft Research Award

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2009 .

Functional Imaging and Modeling of the Heart - FIMH 2009

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008 .

Computational Brain Tumours

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2007, ERCIM News.

New Results - Image segmentation

Hervé Delingette, Tom Vercauteren, Grégoire Malandain, 2004 .

Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I

Hervé Delingette, Nicholas Ayache, Polina Golland, 2012, MICCAI 2012.

Using Continuum Mechanics Operators for detection and Quantification of Evolving Processes in 3D Medical Images

Hervé Delingette, Nicholas Ayache, Gérard Subsol, 1999 .

New Results - High performance parallel and distributed computing

Hervé Delingette, Denis Caromel, Olivier Clatz, 2003 .

Personalization of Electromechanical Models of the Cardiac Ventricular Function by Heterogeneous Clinical Data Assimilation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2015 .

Chapter 34 – Landmark-Based Registration Using Features Identified through Differential Geometry

Nicholas Ayache, Xavier Pennec, Jean-Philippe Thirion, 2009 .

Multi-subject anatomo-functional classification for activation studies

Nicholas Ayache, William D. Penny, Jean-Baptiste Poline, 2004 .

New Results - Registration

Alain Pitiot, Luc Soler, Olivier Clatz, 2003 .

Computational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?

Nicholas Ayache, Maxime Sermesant, Xavier Pennec, 2013, European heart journal cardiovascular Imaging.

Chapter 18 – Tumor Growth Modeling in Oncological Image Analysis

Olivier Clatz, Ender Konukoglu, Xavier Pennec, 2008 .

An Augmented Reality System to Guide Liver Punctures

Luc Soler, Nicholas Ayache, Xavier Pennec, 2003 .

Fully Automatic Registration of 3D cat-scan images using surface curvature

A. Guéziec, N. Ayache, J. Thirion, 1991 .

Maintaining representations of the environment of a mobile robot

Olivier D. Faugeras, Nicholas Ayache, O. Faugeras, 1988, IEEE Trans. Robotics Autom..

Understanding the Demon's Algorithmm: 3d Non-rigid Registration by Gradient Descent Understanding the Demon's Algorithmm: 3d Non-rigid Registration by Gradient Descent

N. Ayache, P. Cachier, 2007 .

Simulating the outcome of amyloid treatments in Alzheimer's disease from imaging and clinical data

N. Ayache, G. Frisoni, P. Robert, 2021, Brain communications.

Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?

N. Ayache, H. Delingette, Huiyu Li, 2022, ArXiv.

Multimodal Analysis of Vasogenic Edema in Glioblastoma Patients for Radiotherapy Planning

N. Ayache, Jayashree Kalpathy-Cramer, H. Delingette, 2014, The MIDAS Journal.

Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology

N. Ayache, H. Delingette, S. Montagne, 2021, Insights into Imaging.

Prostate volume prediction on MRI: tools, accuracy and variability

N. Ayache, H. Delingette, S. Montagne, 2022, European Radiology.

A NEW EVALUATION OF THE BRAIN PARENCHYMAL FRACTION : APPLICATION IN MULTIPLE SCLEROSIS GROUP OR LONGITUDINAL STUDIES

N. Ayache, G. Malandain, C. Lebrun, 2007 .

Relationship Between MDCT‐Imaged Myocardial Fat and Ventricular Tachycardia Substrate in Arrhythmogenic Right Ventricular Cardiomyopathy

Ashok J. Shah, N. Ayache, Maxime Sermesant, 2014, Journal of the American Heart Association.

Smart Atlas for Supporting the Interpretation of probe-based Confocal Laser Endomicroscopy (pCLE) of Biliary Strictures: First Classification Results of a Computer-Aided Diagnosis Software based on Image Recognition

N. Ayache, A. Meining, J. Dauguet, 2017 .

Regional ux analysis of longitudinal atrophy in Alzheimer ' s disease

N. Ayache, X. Pennec, Lorenzi Marco, 2012 .

Visual Navigation of a Mobile Robot: Recent Steps

N. Ayache, O.D. Faugeras, F. Lustman, 2002, IEEE International Workshop on Intelligent Robots.

Segmentation of complex 3-D medical objects, a challenge and a requirement for computer assisted surgery planning and performing

Laurent D. Cohen, Olivier Monga, Isaac Cohen, 1994 .

Segmenting, Visualizing And Characterizing 3D Anatomical Structures With Deformable Surfaces

Laurent D. Cohen, Nicholas Ayache, Isaac Cohen, 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI

Grégoire Malandain, Miguel Ángel González Ballester, Guillaume Dugas-Phocion, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Smoothness and degrees of freedom restrictions when using SPM99

Nicholas Ayache, Grégoire Malandain, Jean-Baptiste Poline, 2001, NeuroImage.

New Results - Restauration et segmentation d'images

Alain Pitiot, Jean-Daniel Boissonnat, Grégoire Malandain, 2002 .

SPECT memory activation studies thanks to non-rigid automated 3D image registration

Philippe Robert, Michel Benoit, Nicholas Ayache, 1997, CVRMed.

New Results - Biological Image Analysis

Grégoire Malandain, Barbara André, Tom Vercauteren, 2006 .

Editorial

Sébastien Ourselin, Nicholas Ayache, N. Ayache, 2008, Medical Image Anal..

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N. Ayache, G. Malandain, A. Roche, 2007 .

Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach

Nicholas Ayache, Reza Razavi, Maxime Sermesant, 2017 .

A TLASES FOR B RAIN M APPING AND A NALYSIS

N. Ayache, M. Ballester, M. Linguraru, 2008 .

Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention

Nicholas Ayache, Anthony J. Maeder, Sebastien Ourselin, 2007 .

Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models

N. Ayache, X. Pennec, H. Delingette, 2017, Biomechanics and Modeling in Mechanobiology.

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Alejandro F Frangi, Alfredo I. Hernández, N. Ayache, 2013, Medical & Biological Engineering & Computing.

Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique

Nicholas Ayache, Grégoire Malandain, Jean-Baptiste Poline, 2002, MICCAI.

REGIONAL FLUX ANALYSIS OF LONGITUDINAL ATROPHY IN ALZHEIMER'S DISEASE

Nicholas Ayache, Xavier Pennec, Marco Lorenzi, 2012, Alzheimer's & Dementia.

Probabilistic Flux Analysis of Cerebral Longitudinal Atrophy

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2012 .

Mapping the e ects of A β 1 − 42 levels on the longitudinal changes in healthy aging : hierarchical modeling based on stationary velocity elds

Nicholas Ayache, Xavier Pennec, Giovanni Frisoni, 2011 .

4 D registration of serial brain ’ s MR images : a robust measure of changes applied to Alzheimer ’ s disease

Nicholas Ayache, Xavier Pennec, Marco Lorenzi, 2010 .

4D registration of serial brain’s MR images: a robust measure of changes applied to Alzheimer’s disease

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2010 .

Model-Based Detection of Tubular Structures in 3D Images

Nicholas Ayache, Karl Krissian, Grégoire Malandain, 2000, Comput. Vis. Image Underst..

Expert knowledge-guided segmentation system for brain MRI

Alain Pitiot, Hervé Delingette, Paul M. Thompson, 2003, NeuroImage.

Retrospective Evaluation of Inter-subject Brain Registration

D. Louis Collins, Isabelle Corouge, Nicholas Ayache, 2001, MICCAI.

Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2006, Medical Image Anal..

Reconstruction of digital terrain model with a lake

Laurent D. Cohen, Nicholas Ayache, Eric Bardinet, 1993, Optics & Photonics.

Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis

Hervé Delingette, Nicholas Ayache, David Rey, 1999, IPMI.

Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data

Philippe Robert, Nicholas Ayache, Marco Lorenzi, 2019, ICML.

A Bayesian framework for joint morphometry of surface and curve meshes in multi‐object complexes

Pietro Gori, Nicholas Ayache, Stanley Durrleman, 2017, Medical Image Anal..

Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models

Maxime Sermesant, Mihaela Pop, Graham A. Wright, 2016, STACOM@MICCAI.

Progress on Customization of Predictive MRI-Based Macroscopic Models from Experimental Data

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2013, STACOM.

In vivo Contact EP Data and ex vivo MR-Based Computer Models: Registration and Model-Dependent Errors

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2012, STACOM.

EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2011, STACOM.

Correspondence Between Simple 3-D MRI-Based Computer Models and In-Vivo EP Measurements in Swine With Chronic Infarctions

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2011, IEEE Transactions on Biomedical Engineering.

A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation

Nicholas Ayache, Eugene Crystal, Maxime Sermesant, 2011, FIMH.

Robust nonrigid registration to capture brain shift from intraoperative MRI

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2005, IEEE Transactions on Medical Imaging.

Hybrid Formulation of the Model-Based Non-rigid Registration Problem to Improve Accuracy and Robustness

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2005, MICCAI.

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

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2005, IEEE Transactions on Medical Imaging.

Generalized Image Models and Their Application as Statistical Models of Images

Nicholas Ayache, Xavier Pennec, Marius George Linguraru, 2003, MICCAI.

Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

Nicholas Ayache, James S. Duncan, J. Duncan, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Patient-Specific Biomechanical Model of the Brain: Application to Parkinson's Disease Procedure

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2003, IS4TH.

Virtual reality applied to hepatic surgery simulation: the next revolution.

H Delingette, N Ayache, D Mutter, 1998, Annals of surgery.

Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature

N. Ayache, H. Delingette, S. Montagne, 2022, Insights into imaging.

Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology.

Hervé Delingette, Ender Konukoglu, Maxime Sermesant, 2011, Progress in biophysics and molecular biology.

Registration of 4D Cardiac CT Sequences Under Trajectory Constraints With Multichannel Diffeomorphic Demons

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, IEEE Transactions on Medical Imaging.

A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data

Sébastien Ourselin, Nicholas Ayache, Grégoire Malandain, 2007, NeuroImage.

Building, Registrating, and Fusing Noisy Visual Maps

Olivier D. Faugeras, Nicholas Ayache, O. Faugeras, 1988, Int. J. Robotics Res..

Automatic Classification of SPECT Images of Alzheimer's Disease Patients and Control Subjects

Nicholas Ayache, Grégoire Malandain, Jonathan Stoeckel, 2004, MICCAI.

Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis

Stanley Durrleman, Olivier Colliot, Nicholas Ayache, 2019, Medical Image Anal..

FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis

Stanley Durrleman, Olivier Colliot, Nicholas Ayache, 2018 .

Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training

Nicholas Ayache, Stanley Durrleman, Olivier Colliot, 2018, MICCAI.

Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields

Xavier Pennec, Marco Lorenzi, Nicholas Ayache, 2016, Front. Neurosci..

Reconstructing a 3D structure from serial histological sections

Sébastien Ourselin, Nicholas Ayache, Xavier Pennec, 2001, Image Vis. Comput..

Diffeomorphic demons: Efficient non-parametric image registration

Tom Vercauteren, Xavier Pennec, Aymeric Perchant, 2009, NeuroImage.

Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images

N. Ayache, C. Marquette, J. Benzaquen, 2022, Cancers.

Fully Automatic Anatomical, Pathological, and Functional Segmentation from CT Scans for Hepatic Surgery

Johan Montagnat, Hervé Delingette, Luc Soler, 2000, Medical Imaging: Image Processing.

Tracking Medical 3D Data with a Deformable Parametric Model

Laurent D. Cohen, Nicholas Ayache, Eric Bardinet, 1996, ECCV.

Variability of the Human Cardiac Laminar Structure

Hervé Delingette, Nicholas Ayache, Patrick Clarysse, 2011, STACOM.

Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI

Hervé Delingette, Nicholas Ayache, Patrick Clarysse, 2011, FIMH.

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

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2007, IEEE Transactions on Medical Imaging.

Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Fast and Simple Calculus on Tensors in the Log-Euclidean Framework

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2005, MICCAI.

A Riemannian Framework for the Processing of Tensor-Valued Images

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2005, DSSCV.

Integration of Merged Delayed‐Enhanced Magnetic Resonance Imaging and Multidetector Computed Tomography for the Guidance of Ventricular Tachycardia Ablation: A Pilot Study

Nicholas Ayache, Maxime Sermesant, Hubert Cochet, 2013, Journal of cardiovascular electrophysiology.

Regional Myocardial Wall Thinning at Multidetector Computed Tomography Correlates to Arrhythmogenic Substrate in Postinfarction Ventricular Tachycardia: Assessment of Structural and Electrical Substrate

Nicholas Ayache, Maxime Sermesant, Hubert Cochet, 2013, Circulation. Arrhythmia and electrophysiology.

How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

Fanny Orlhac, I. Buvat, N. Ayache, 2020, European Radiology.

MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images

N. Ayache, P. Hofman, M. Ilié, 2023, Medical Image Anal..

Deep reinforcement learning in medical imaging: A literature review

N. Ayache, H. Nguyen, Khoa Luu, 2021, Medical Image Anal..

Deformable biomechanical models: Application to 4D cardiac image analysis

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2003, Medical Image Anal..

Biomechanical Model Construction from Different Modalities: Application to Cardiac Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2002, MICCAI.

Cardiac Electrophysiological Activation Pattern Estimation From Images Using a Patient-Specific Database of Synthetic Image Sequences

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2014, IEEE Transactions on Biomedical Engineering.

Validation of a method to compensate multicenter effects affecting CT radiomic features

Nicholas Ayache, Frédérique Frouin, Fanny Orlhac, 2019 .

In vivo detection of thalamic gliosis: a pathoradiologic demonstration in familial fatal insomnia.

N. Ayache, J. Hauw, D. Galanaud, 2008, Archives of neurology.

Combined Diffusion Imaging and MR Spectroscopy in the Diagnosis of Human Prion Diseases

N. Ayache, D. Dormont, N. Ayache, 2010, American Journal of Neuroradiology.

Differentiation of sCJD and vCJD forms by automated analysis of basal ganglia intensity distribution in multisequence MRI of the brain-definition and evaluation of new MRI-based ratios

Nicholas Ayache, Didier Dormont, Marius George Linguraru, 2006, IEEE Transactions on Medical Imaging.

Texture based MRI segmentation with a two-stage hybrid neural classifier

Paul M. Thompson, Arthur W. Toga, N. Ayache, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2007, IPMI.

Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2010, Medical Image Anal..

Biocomputing: numerical simulation of glioblastoma growth using diffusion tensor imaging

Olivier Clatz, Nicholas Ayache, Maxime Sermesant, 2008, Physics in Medicine and Biology.

Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2006, MICCAI.

An electromechanical model of the heart for image analysis and simulation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2006, IEEE Transactions on Medical Imaging.

Building a Consistent 3D Representation of a Mobile Robot Environment by Combining Multiple Stereo Views

Olivier D. Faugeras, Nicholas Ayache, O. Faugeras, 1987, IJCAI.

New Ratios for the Detection and Classification of CJD in Multisequence MRI of the Brain

Nicholas Ayache, Didier Dormont, Marius George Linguraru, 2005, MICCAI.

SimulAD: a dynamical model for personalized simulation and disease staging in Alzheimer’s disease

N. Ayache, G. Frisoni, P. Robert, 2022, Neurobiology of Aging.

Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability

Paul M. Thompson, Nicholas Ayache, Xavier Pennec, 2005, IPMI.

Efficient registration of stereo images by matching graph descriptions of edge segments

Nicholas Ayache, Bernard Faverjon, B. Faverjon, 1987, International Journal of Computer Vision.

Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes

Marco Lorenzi, Nicholas Ayache, Clement Abi Nader, 2018, MLCN/DLF/iMIMIC@MICCAI.

Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2012 .

Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images

Nicholas Ayache, Maxime Sermesant, Hubert Cochet, 2019, IEEE Transactions on Biomedical Engineering.

Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns

N. Ayache, H. Delingette, E. Stretton, 2014, Journal of Neuro-Oncology.

Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2012, Medical Image Anal..

Patient-specific Electromechanical Models of the Heart for the Prediction of Pacing Acute Effects in Crt: a Preliminary Clinical Validation

Hervé Delingette, Kawal S. Rhode, Dominique Chapelle, 2022 .

Inter-model consistency and complementarity: learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology.

S Niederer, H Zhang, Alejandro F Frangi, 2011, Progress in biophysics and molecular biology.

A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation

Hervé Delingette, Nicholas Ayache, Ender Konukoglu, 2011, Comput. Graph..

Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, STACOM/CESC.

Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2010, MICCAI.

IMAGE-DRIVEN COMPUTATIONAL MODELS OF THE HEART FOR TETRALOGY OF FALLOT

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010 .

Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2010, IEEE Transactions on Medical Imaging.

Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study

Hervé Delingette, Nicholas Ayache, Eugene Crystal, 2009, Medical Image Anal..

Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, Recent Advances in the 3D Physiological Human.

Cardiac Electrophysiology Model Adjustment Using the Fusion of MR and Optical Imaging

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, MICCAI.

Toward patient-specific myocardial models of the heart.

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2008, Heart failure clinics.

Towards an Identification of Tumor Growth Parameters from Time Series of Images

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2007, MICCAI.

An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology

Hervé Delingette, Kawal S. Rhode, Nicholas Ayache, 2007, FIMH.

Cardiosense 3 D : Patient-Specific Cardiac Simulation INRIA Large Wingspan Project

D. Chapelle, N. Ayache, H. Delingette, 2005 .

Anatomically consistent CNN-based segmentation of organs-at-risk in cranial radiotherapy

Pierre-Yves Bondiau, Nicholas Ayache, Pawel Mlynarski, 2020, Journal of medical imaging.

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Jürgen Weese, Sébastien Ourselin, Kawal S. Rhode, 2015, IEEE Transactions on Medical Imaging.

A Log-Euclidean Framework for Statistics on Diffeomorphisms

Nicholas Ayache, Xavier Pennec, Olivier Commowick, 2006, MICCAI.

Applications of artificial intelligence in cardiovascular imaging

N. Ayache, H. Delingette, Maxime Sermesant, 2021, Nature Reviews Cardiology.

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow

Hervé Delingette, Nicholas Ayache, Qiao Zheng, 2018, Medical Image Anal..

Personalization of Reaction-Diffusion Tumor Growth Models in MR Images: Application to Brain Gliomas Characterization and Radiotherapy Planning

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2010 .

Simulating the outcome of amyloid treatments in Alzheimer’s Disease from multi-modal imaging and clinical data

N. Ayache, G. Frisoni, P. Robert, 2020, bioRxiv.

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

Nicholas Ayache, Xavier Pennec, Tom Vercauteren, 2008, MICCAI.

A scheme for automatically building three-dimensional morphometric anatomical atlases: application to a skull atlas

Nicholas Ayache, Gérard Subsol, Jean-Philippe Thirion, 1998, Medical Image Anal..

Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis

Pietro Gori, Nicholas Ayache, Stanley Durrleman, 2018, IEEE Transactions on Medical Imaging.

Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical Image Anal..

Preliminary Validation Using in vivo Measures of a Macroscopic Electrical Model of the Heart

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2003, IS4TH.

Inferring brain variability from diffeomorphic deformations of currents: An integrative approach

Paul M. Thompson, Alain Trouvé, Nicholas Ayache, 2008, Medical Image Anal..

Improving realism of a surgery simulator: linear anisotropic elasticity, complex interactions and force extrapolation

Hervé Delingette, Nicholas Ayache, Jean-Christophe Lombardo, 2002, Comput. Animat. Virtual Worlds.

Clinical Evaluation of a Respiratory Gated Guidance System for Liver Punctures

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2007, MICCAI.

Non-parametric Diffeomorphic Image Registration with the Demons Algorithm

Nicholas Ayache, Xavier Pennec, Tom Vercauteren, 2007, MICCAI.

Preprocessing : data selection , pseudo ECG III . 3 − D centerlines reconstruction

Nicholas Ayache, Grégoire Malandain, Régis Vaillant, 2011 .

Deep learning with mixed supervision for brain tumor segmentation

Hervé Delingette, Nicholas Ayache, Antonio Criminisi, 2018, Journal of medical imaging.

Frequency-Based Nonrigid Motion Analysis: Application to Four Dimensional Medical Images

Nicholas Ayache, Chahab Nastar, C. Nastar, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Artificial vision for mobile robots - stereo vision and multisensory perception

Nicholas Ayache, N. Ayache, 1991 .

Soft Tissue Modeling for Surgery Simulation

Hervé Delingette, Nicholas Ayache, N. Ayache, 2004 .

Non-linear anisotropic elasticity for real-time surgery simulation

Hervé Delingette, Nicholas Ayache, Guillaume Picinbono, 2003, Graph. Model..

Real-Time Large Displacement Elasticity for Surgery Simulation: Non-linear Tensor-Mass Model

Hervé Delingette, Nicholas Ayache, Guillaume Picinbono, 2000, MICCAI.

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases

Nicholas Ayache, Hervé Delingette, Nicolas Duchateau, 2018, IEEE Transactions on Medical Imaging.

3D tomographic reconstruction of coronary arteries using a precomputed 4D motion field.

Régis Vaillant, N. Ayache, G. Malandain, 2004, Physics in medicine and biology.

Reconstruction of Coronary Arteries from One Rotational X-Ray Projection Sequence

Nicholas Ayache, Grégoire Malandain, Régis Vaillant, 2004 .

4-D Tomographic Representation of Coronary Arteries from One Rotational X-Ray Sequence

Ève Coste-Manière, Grégoire Malandain, Frederic Devernay, 2003, MICCAI.

Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease

Nicholas Ayache, Xavier Pennec, Marco Lorenzi, 2015, NeuroImage.

Image-based motion detection in 4D images and application to respiratory motion suppression

Nicholas Ayache, Grégoire Malandain, Marine Breuilly, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

4D deformation field of coronary arteries from monoplane rotational X-ray angiography

Nicholas Ayache, Grégoire Malandain, Régis Vaillant, 2003, CARS.

Automatic trinocular 3D reconstruction of coronary artery centerlines from rotational X-ray angiography

Nicholas Ayache, Grégoire Malandain, Regis Vaillant, 2002 .

Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population

Hervé Delingette, Nicholas Ayache, Patrick Clarysse, 2012, IEEE Transactions on Medical Imaging.

High Speed Trinocular Stereo for Mobile-Robot Navigation

Charles Hansen, Nicholas Ayache, Francis Lustman, 1990 .

An augmented reality system for liver thermal ablation: Design and evaluation on clinical cases

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2009, Medical Image Anal..

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images

Nicholas Ayache, Koenraad Van Leemput, Polina Golland, 2010, MICCAI.

Computer Vision, Virtual Reality and Robotics in Medicine

Nicholas Ayache, N. Ayache, 1995, Lecture Notes in Computer Science.

Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models

Nicholas Ayache, Farida Cheriet, Xavier Pennec, 2006, AMDO.

Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model

Hervé Delingette, Nicholas Ayache, Jayashree Kalpathy-Cramer, 2017, IEEE Transactions on Medical Imaging.

MRI Based Bayesian Personalization of a Tumor Growth Model

Nicholas Ayache, Herve Delingette, Jayashree Kalpathy-Cramer, 2016, IEEE Transactions on Medical Imaging.

Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images

Hervé Delingette, Nicholas Ayache, Dorin Comaniciu, 2013, MICCAI.

A geometric algorithm to find small but highly similar 3D substructures in proteins

Nicholas Ayache, Xavier Pennec, N. Ayache, 1998, Bioinform..

Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent

Nicholas Ayache, Xavier Pennec, Pascal Cathier, 1999, MICCAI.

Hepatic surgery simulation

Hervé Delingette, Nicholas Ayache, N. Ayache, 2005, CACM.

AI and Healthcare: towards a Digital Twin?

Nicholas Ayache, N. Ayache, 2019 .

Geometric and physical representations for a simulator of hepatic surgery.

H Delingette, N Ayache, J M Clément, 1996, Studies in health technology and informatics.

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2013, IEEE Transactions on Medical Imaging.

Left Atrial Segmentation Challenge 2013: MRI training

Maria A. Zuluaga, M. A. Chikh, A. J. Geers, 2015 .

Using deformable surfaces to segment 3-D images and infer differential structures

ISAAC COHEN, LAURENT D. COHEN, NICHOLAS AYACHE, 1992, CVGIP Image Underst..

Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping

Hervé Delingette, Maxime Sermesant, Reza Razavi, 2017, IEEE Transactions on Biomedical Engineering.

Quantifying Registration Uncertainty With Sparse Bayesian Modelling

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2017, IEEE Transactions on Medical Imaging.

Building Patient-Specific Physical and Physiological Computational Models from Medical Images

Hervé Delingette, Nicholas Ayache, N. Ayache, 2015 .

Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI

Ben Glocker, Olivier Clatz, Ezequiel Geremia, 2013 .

Automatic registration of 3D images using surface curvature

Nicholas Ayache, Jean-Philippe Thirion, Serge Benayoun, 1992, Optics & Photonics.

Locally affine registration of free-form surfaces

Nicholas Ayache, Jacques Feldmar, N. Ayache, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Surgery Simulation and Soft Tissue Modeling

Hervé Delingette, Nicholas Ayache, N. Ayache, 2003, Lecture Notes in Computer Science.

Application of an Automatically Built 3D Morphometric Brain Atlas: Study of Cerebral Ventricle Shape

Nicholas Ayache, Gérard Subsol, Jean-Philippe Thirion, 1996, VBC.

Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis

N. Ayache, S. Durrleman, O. Colliot, 2020, NeuroImage.

Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning

James S. Duncan, Michael F. Insana, Nicholas Ayache, 2020, Proc. IEEE.

Medical computer vision, virtual reality and robotics

Nicholas Ayache, N. Ayache, 1995, Image Vis. Comput..

Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data

Guido Gerig, Alain Trouvé, Nicholas Ayache, 2013, International Journal of Computer Vision.

3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation

Nicholas Ayache, Qiao Zheng, Hervé Delingette, 2018, IEEE Transactions on Medical Imaging.

Tracking Points on Deformable Objects Using Curvature Information

Nicholas Ayache, Isaac Cohen, Patrick Sulger, 1992, ECCV.

A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images

Nicholas Ayache, Simon K. Warfield, Alistair A. Young, 2014, Medical Image Anal..

Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

Leo Grady, Nicholas Ayache, Farida Cheriet, 2013, International Journal of Computer Vision.

Unifying maximum likelihood approaches in medical image registration

Nicholas Ayache, Grégoire Malandain, Alexis Roche, 2000, Int. J. Imaging Syst. Technol..

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

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 1998, MICCAI.

20th anniversary of the Medical Image Analysis journal (MedIA).

Nicholas Ayache, John S. Duncan, J. Duncan, 2016, Medical image analysis.

Trinocular Stereo Vision for Robotics

Nicholas Ayache, F. Lustman, N. Ayache, 1991, IEEE Trans. Pattern Anal. Mach. Intell..

Physically based analysis of deformations in 3D images

Nicholas Ayache, Chahab Nastar, C. Nastar, 1993, Optics & Photonics.

A New Physically Based Model for Efficient Tracking and Analysis of Deformations

Nicholas Ayache, Chahab Nastar, C. Nastar, 1991, Geometric Reasoning for Perception and Action.

Features extraction and analysis methods for sequences of ultrasound Images

Nicholas Ayache, Isabelle Herlin, N. Ayache, 1992, Image Vis. Comput..

Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging

Hervé Delingette, Kawal S. Rhode, Daniel Rueckert, 2005, Medical Image Anal..

3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context

Hervé Delingette, Nicholas Ayache, Antonio Criminisi, 2018, Comput. Medical Imaging Graph..

Velocity-based cardiac contractility personalization from images using derivative-free optimization.

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2015, Journal of the mechanical behavior of biomedical materials.

Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles

Pietro Gori, Stanley Durrleman, Olivier Colliot, 2016, IEEE Transactions on Medical Imaging.

Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior

Nicholas Ayache, Xavier Pennec, Vikash Gupta, 2013, MICCAI.

Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia

Hervé Delingette, Nicholas Ayache, Reza Razavi, 2011, Interface Focus.

Learning a Probabilistic Model for Diffeomorphic Registration

Hervé Delingette, Nicholas Ayache, Boris Mailhé, 2018, IEEE Transactions on Medical Imaging.

Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration

Hervé Delingette, Nicholas Ayache, Boris Mailhé, 2018, DLMIA/ML-CDS@MICCAI.

Robust Non-rigid Registration Through Agent-Based Action Learning

Hervé Delingette, Li Zhang, Nicholas Ayache, 2017, MICCAI.

Laplacian Forests: Semantic Image Segmentation by Guided Bagging

Nicholas Ayache, Antonio Criminisi, Herve Lombaert, 2014, MICCAI.

Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images

Sébastien Ourselin, Nicholas Ayache, Alexis Roche, 2000, MICCAI.

Epidaure: A research project in medical image analysis, simulation, and robotics at INRIA

Nicholas Ayache, N. Ayache, 2003, IEEE Transactions on Medical Imaging.

Iconic feature based nonrigid registration: the PASHA algorithm

Nicholas Ayache, Xavier Pennec, Didier Dormont, 2003, Comput. Vis. Image Underst..

Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features

Jean-Francois Mangin, Nicholas Ayache, Xavier Pennec, 2001, MICCAI.

Three-dimensional multimodal brain warping using the Demons algorithm and adaptive intensity corrections

Nicholas Ayache, Alexis Roche, Jean Meunier, 2001, IEEE Transactions on Medical Imaging.

Automatic Retrieval of Anatomical Structures in 3D Medical Images

Nicholas Ayache, Gérard Subsol, Jérôme Declerck, 1995, CVRMed.

A Generative Approach for Image-Based Modeling of Tumor Growth

Antti Honkela, Nicholas Ayache, Koenraad Van Leemput, 2011, IPMI.

3D anatomical variability assessment of the scoliotic spine using statistics on Lie groups

Nicholas Ayache, Farida Cheriet, Xavier Pennec, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Topological segmentation of discrete surfaces

Nicholas Ayache, Gilles Bertrand, Grégoire Malandain, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2013, NeuroImage.

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical & Biological Engineering & Computing.

An Automatic Segmentation of T2-FLAIR Multiple Sclerosis Lesions

Grégoire Malandain, Nicholas Ayache, Jean-Christophe Souplet, 2008, The MIDAS Journal.

Tracking and motion analysis of the left ventricle with deformable superquadrics

Laurent D. Cohen, Nicholas Ayache, Eric Bardinet, 1996, Medical Image Anal..

Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images

Olivier Clatz, Nicholas Ayache, Ezequiel Geremia, 2010, MICCAI.

Expert knowledge-guided segmentation system for brain MRI

Alain Pitiot, Hervé Delingette, Paul M. Thompson, 2003, NeuroImage.

Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images

Olivier Clatz, Nicholas Ayache, Ezequiel Geremia, 2011, NeuroImage.

Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank pdf

Hervé Delingette, Nicholas Ayache, Qiao Zheng, 2019, ArXiv.

The OncoAge Consortium: Linking Aging and Oncology from Bench to Bedside and Back Again

N. Ayache, M. Barlaud, E. Gilson, 2019, Cancers.

Parameter Estimation of a 3D Cardiac Electrophysiology Model Including the Restitution Curve Using Optical and MR Data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration

N. Ayache, H. Delingette, J. Raffort, 2022, Angiology.

Surface Contact and Reaction Force Models for Laparoscopic Simulation

Hervé Delingette, Nicholas Ayache, Clement Forest, 2004, ISMS.

Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, FIMH.

International Journal of Computer Vision Manuscript No. 10.1007/s11263-010-0405-z The final publication is available at www.springerlink.com iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2022 .

Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, MICCAI.

Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration

Nicholas Ayache, Xavier Pennec, Radu Stefanescu, 2005, MICCAI.

Complexity of cerebral atrophy evaluation in relapsing-remitting multiple sclerosis context

Nicholas Ayache, Grégoire Malandain, Jean-Christophe Souplet, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Steps Toward the Automatic Interpretation of 3D Images

Jean-Daniel Boissonnat, Laurent D. Cohen, Nicholas Ayache, 1990 .

ORIGINAL RESEARCH Combined Diffusion Imaging and MR Spectroscopy in the Diagnosis of Human Prion Diseases

N. Ayache, D. Galanaud, D. Dormont, 2010 .

Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity

Bishesh Khanal, Nicholas Ayache, Xavier Pennec, 2017, Front. Neurosci..

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation— With Application to Tumor and Stroke

Gábor Székely, Koenraad Van Leemput, Polina Golland, 2016, IEEE Transactions on Medical Imaging.

Personalized cardiac modeling and simulations in euHeart

N. Ayache, J. Weese, N. Smith, 2013, Medical & Biological Engineering & Computing.

Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix

N. Ayache, H. Delingette, Tommaso Mansi, 2020, IEEE Transactions on Medical Imaging.

Image-Based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms

Maxime Sermesant, Hubert Cochet, Nicholas Ayache, 2017, IEEE Transactions on Biomedical Engineering.

Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets

Loïc Le Folgoc, Nicholas Ayache, Ján Margeta, 2014, MCV.

Certifying and Reasoning on Cost Annotations in C Programs

Roberto M. Amadio, Yann Régis-Gianas, Nicholas Ayache, 2012, FMICS.

Accurate and robust stereovision with a large number of aerial images

Nicholas Ayache, D. Canu, J. A. Sirat, 1995, Remote Sensing.

Guest Editorial Special Issue on Medical Imaging and Image Computing in Computational Physiology

Alejandro F. Frangi, Nicholas Ayache, Peter J. Hunter, 2013, IEEE Trans. Medical Imaging.

Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2005, MICCAI.

Grid powered nonlinear image registration with locally adaptive regularization

Nicholas Ayache, Xavier Pennec, Radu Stefanescu, 2004, Medical Image Anal..

Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2001, IEEE Transactions on Medical Imaging.

Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models

Hervé Delingette, Nicholas Ayache, María Jimena Costa, 2007, MICCAI.

Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation

Nicholas Ayache, Grégoire Malandain, Didier Dormont, 2005, MICCAI.

Mosaicing of Confocal Microscopic In Vivo Soft Tissue Video Sequences

Nicholas Ayache, Xavier Pennec, Tom Vercauteren, 2005, MICCAI.

A Complete Augmented Reality Guidance System for Liver Punctures: First Clinical Evaluation

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2005, MICCAI.

Computational Anatomy and Computational Physiology for Medical Image Analysis

Nicholas Ayache, N. Ayache, 2005, CVBIA.

Model-based multiscale detection of 3D vessels

Nicholas Ayache, Karl Krissian, Grégoire Malandain, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2011, NeuroImage.

Radiotherapy planning for glioblastoma based on a tumor growth model: implications for spatial dose redistribution

Nicholas Ayache, Ender Konukoglu, Bjoern H Menze, 2014, Physics in medicine and biology.

A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration

Nicholas Ayache, Xavier Pennec, Olivier Commowick, 2009, Journal of Mathematical Imaging and Vision.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

Nicholas Ayache, Computer-Assisted Intervention, N. Ayache, 2012, Lecture Notes in Computer Science.

Uncertainty Quantification of Cochlear Implant Insertion from CT Images

Hervé Delingette, Nicholas Ayache, Dan Gnansia, 2016, CLIP@MICCAI.

Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI

Nicholas Ayache, Tommaso Mansi, Julian Krebs, 2019, STACOM@MICCAI.

An augmented reality system to guide radio‐frequency tumour ablation

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2005, Comput. Animat. Virtual Worlds.

Online hard example mining vs. fixed oversampling strategy for segmentation of new multiple sclerosis lesions from longitudinal FLAIR MRI

N. Ayache, O. Colliot, B. Bodini, 2022, Frontiers in Neuroscience.

Deep Learning for the Detection, Localization, and Characterization of Focal Liver Lesions on Abdominal US Images.

N. Ayache, H. Delingette, J. Correas, 2022, Radiology: Artificial Intelligence.

A review of deformable surfaces: topology, geometry and deformation

Johan Montagnat, Hervé Delingette, Nicholas Ayache, 2001, Image Vis. Comput..

Computation of the mid-sagittal plane in 3-D brain images

Sébastien Ourselin, Nicholas Ayache, Sylvain Prima, 2002, IEEE Transactions on Medical Imaging.

Sampling image segmentations for uncertainty quantification

Hervé Delingette, Nicholas Ayache, Jan Unkelbach, 2016, Medical Image Anal..

Anisotropic elasticity and force extrapolation to improve realism of surgery simulation

Hervé Delingette, Nicholas Ayache, Jean-Christophe Lombardo, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

Efficient linear elastic models of soft tissues for real-time surgery simulation.

H Delingette, N Ayache, S Cotin, 1999, Studies in health technology and informatics.

Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets

Guido Gerig, Alain Trouvé, Nicholas Ayache, 2009, MICCAI.

Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy

Xavier Pennec, Nicholas Ayache, Tom Vercauteren, 2008, The Insight Journal.

Spatially Adaptive Random Forest

Nicholas Ayache, Ezequiel Geremia, Bjoern H Menze, 2017 .

Removing tetrahedra from a manifold mesh

Hervé Delingette, Nicholas Ayache, Clement Forest, 2002, Proceedings of Computer Animation 2002 (CA 2002).

Endomicroscopic image retrieval and classification using invariant visual features

Nicholas Ayache, Michael B. Wallace, Barbara André, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition

Nicholas Ayache, Ján Margeta, Antonio Criminisi, 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval

Nicholas Ayache, Michael B. Wallace, Barbara André, 2012, IEEE Transactions on Medical Imaging.

Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis

Nicholas Ayache, Barbara André, Tom Vercauteren, 2011, MCBR-CDS.

Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos

Nicholas Ayache, Michael B. Wallace, Barbara André, 2011, MICCAI.

A smart atlas for endomicroscopy using automated video retrieval

Nicholas Ayache, Michael B. Wallace, Barbara André, 2011, Medical Image Anal..

Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval

Nicholas Ayache, Michael B. Wallace, Barbara André, 2009, MCBR-CDS.

Insight into Efficient Image Registration Techniques and the Demons Algorithm

Nicholas Ayache, Xavier Pennec, Ezio Malis, 2007, IPMI.

Medical image registration using geometric hashing

Nicholas Ayache, A. P. Gueziec, X. Pennec, 1997 .

Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy

Hervé Delingette, Reza Razavi, Maxime Sermesant, 2019, IEEE Transactions on Biomedical Engineering.

AUTOMATIC SEGMENTATION OF THE BLADDER USING DEFORMABLE MODELS

Hervé Delingette, Nicholas Ayache, María Jimena Costa, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks pdf

Nicholas Ayache, Pierre-Yves Bondiau, Herv'e Delingette, 2019, ArXiv.

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2013, Comput. Vis. Image Underst..

Image-based modeling of tumor growth in patients with glioma.

Nicholas Ayache, Ender Konukoglu, Bjoern H. Menze, 2011 .

An efficient locally affine framework for the smooth registration of anatomical structures

N. Ayache, G. Malandain, O. Commowick, 2008, Medical Image Anal..

New Vector Field Regularization Techniques for Nonrigid Image Registration

Nicholas Ayache, Pascal Cathier, N. Ayache, 2003, WBIR.

Using SPM to Detect Evolving MS Lesions

Nicholas Ayache, Grégoire Malandain, David Rey, 2001, MICCAI.

Regularization Methods in Non-Rigid Registration :II. Isotropic Energies, Filters and Splines

Nicholas Ayache, Pascal Cachier, N. Ayache, 2001 .

Joint Segmentation via Patient-Specific Latent

Polina Golland, William M. Wells, Nicholas Ayache, 2009 .

YAV++: a Software Platform for Medical Image Processing and Visualization

Johan Montagnat, Hervé Delingette, David Rey, 2001 .

Machine Vision for Medicine of 21st Century

Nicholas Ayache, N. Ayache, 2000, MVA.

Learning Structured Deformations using Diffeomorphic Registration pdf

Hervé Delingette, Nicholas Ayache, Boris Mailhé, 2018, ArXiv.

Preliminary specificity study of the Bestel-Clément-Sorine electromechanical model of the heart using parameter calibration from medical images.

M Sermesant, H Delingette, C A Rinaldi, 2013, Journal of the mechanical behavior of biomedical materials.

Stereo vision and multisensory perception: applications for mobile robotics (French)

Nicholas Ayache, N. Ayache, 1989 .

Endomicroscopic video retrieval using mosaicing and visualwords

Nicholas Ayache, Michael B. Wallace, Barbara André, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs

Hervé Delingette, Steffen E. Petersen, Qiao Zheng, 2020, Frontiers in Cardiovascular Medicine.

Decision Forests for Segmentation of the Left Atrium from 3D MRI

Nicholas Ayache, Ján Margeta, Antonio Criminisi, 2013, STACOM.

Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2012, MCV.

Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images

Hervé Delingette, Nicholas Ayache, Pengcheng Shi, 2012, MICCAI.

Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, STACOM.

Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data

Nicholas Ayache, Ján Margeta, Ezequiel Geremia, 2011, STACOM.

Synthetic Echocardiographic Image Sequences for Cardiac Inverse Electro-Kinematic Learning

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, MICCAI.

Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, STACOM/CESC.

Non-invasive Activation Times Estimation Using 3D Echocardiography

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, STACOM/CESC.

LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, MICCAI.

Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009, FIMH.

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

N. Ayache, H. Delingette, Maxime Sermesant, 2009, FIMH.

Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery

R. Kikinis, N. Ayache, A. Golby, 2023, 2308.10868.

Comparison of the endocast growth of chimpanzees and bonobos via temporal regression and spatiotemporal registration

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2010 .

Non-rigid Atlas to Subject Registration with Pathologies for Conformal Brain Radiotherapy

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2004, MICCAI.

Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process

Nicholas Ayache, Neil Roberts, Sylvain Prima, 2001, MICCAI.

Bias Field Correction of Breast MR Images

Nicholas Ayache, Michael Brady, Jérôme Declerck, 1996, VBC.

Combining Bayesian And Deep Learning Methods For The Delineation Of The Fan In Ultrasound Images

Nicholas Ayache, Anne-Laure Rousseau, Herv'e Delingette, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Analysis Of A Sequence Of Stereo Scenes Containing Multiple Moving Objects Using Rigidity Constraints

Olivier D. Faugeras, Nicholas Ayache, Zhengyou Zhang, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

A Prototype Representation to Approximate White Matter Bundles with Weighted Currents

Pietro Gori, Stanley Durrleman, Olivier Colliot, 2014, MICCAI.

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

N. Ayache, X. Pennec, H. Delingette, 2011, International Journal of Computer Vision.

Asclepios : a Research Project at INRIA for the Analysis and Simulation of Biomedical Images

Hervé Delingette, Olivier Clatz, Grégoire Malandain, 2006 .

Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2007, MICCAI.

Uniform Distribution, Distance and Expectation Problems for Geometric Features Processing

Nicholas Ayache, Xavier Pennec, N. Ayache, 1998, Journal of Mathematical Imaging and Vision.

Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps

Nicholas Ayache, Herve Lombaert, Michael Arcaro, 2015, IPMI.

A Statistical Model of White Matter Fiber Bundles Based on Currents

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2009, IPMI.

Use of a 4D planispheric transformation for the tracking and analysis of LV motion with tagged MR images

Nicholas Ayache, Elliot R. McVeigh, Jérôme Declerck, 1999, Medical Imaging.

Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)

N. Ayache, H. Delingette, S. Montagne, 2023, Machine Learning for Biomedical Imaging.

A Patch-Based Approach for the Segmentation of Pathologies: Application to Glioma Labelling

Hervé Delingette, Nicholas Ayache, Nicolas Cordier, 2016, IEEE Transactions on Medical Imaging.

Class‐specific variable selection in high‐dimensional discriminant analysis through Bayesian Sparsity

Charles Bouveyron, Nicholas Ayache, Pierre-Alexandre Mattei, 2018, Journal of Chemometrics.

Extended Modality Propagation: Image Synthesis of Pathological Cases

Hervé Delingette, Nicholas Ayache, Nicolas Cordier, 2016, IEEE Transactions on Medical Imaging.

Classification of SPECT Images of Normal Subjects versus Images of Alzheimer's Disease Patients

Philippe Robert, Nicholas Ayache, Grégoire Malandain, 2001, MICCAI.

Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI

N. Ayache, G. Malandain, M. Ballester, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation— With Application to Tumor and Stroke

Bjoern H Menze, D. Lashkari, P. Golland, 2016, IEEE Transactions on Medical Imaging.

ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone

YingLiang Ma, Zhong Chen, Hervé Delingette, 2016, Medical & Biological Engineering & Computing.

Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology

N. Ayache, H. Delingette, Maxime Sermesant, 2017, FIMH.

Sparse Bayesian Registration

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2014, MICCAI.

Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration

Nicholas Ayache, Xavier Pennec, Vincent Arsigny, 2003, MICCAI.

Journal of Mathematical Imaging and Vision Manuscript No. a Fast and Log-euclidean Polyaffine Framework for Locally Linear Registration

N. Ayache, O. Commowick, V. Arsigny, 2022 .

Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study

D. Comaniciu, N. Ayache, X. Pennec, 2015, FIMH.

An efficient locally affine framework for the registration of anatomical structures

Nicholas Ayache, Grégoire Malandain, Olivier Commowick, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

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

N. Ayache, X. Pennec, Tom Kamiel Magda Vercauteren, 2008, MICCAI.

Grid Enabled Non-rigid Registration with a Dense Transformation and a priori Information

Nicholas Ayache, Xavier Pennec, Radu Stefanescu, 2003, MICCAI.

Regularization in Image Non-Rigid Registration: I. Trade-off between Smoothness and Intensity Similarity

Nicholas Ayache, Pascal Cachier, N. Ayache, 2001 .

Cutting Simulation of Manifold Volumetric Meshes

Hervé Delingette, Nicholas Ayache, Clement Forest, 2002, MICCAI.

Definition of a four-dimensional continuous planispheric transformation for the tracking and the analysis of left-ventricle motion

Nicholas Ayache, Jérôme Declerck, Jacques Feldmar, 1998, Medical Image Anal..

Definition of a 4D continuous polar transformation for the tracking and the analysis of LV motion

Nicholas Ayache, Jérôme Declerck, Jacques Feldmar, 1997, CVRMed.

Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data

N. Ayache, P. Robert, Marco Lorenzi, 2019, NeuroImage.

Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data

N. Ayache, P. Robert, Marco Lorenzi, 2019, ArXiv.

3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation pdf

Hervé Delingette, Nicholas Ayache, Qiao Zheng, 2018, ArXiv.

A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, IEEE Transactions on Medical Imaging.

Cardiac Motion Recovery by Coupling an Electromechanical Model and Cine-MRI Data: First Steps

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, The MIDAS Journal.

Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

J. Duncan, N. Ayache, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images

Bjoern H Menze, A. Criminisi, N. Ayache, 2011, NeuroImage.

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

D. Chapelle, P. Lambiase, N. Ayache, 2012, Medical Image Anal..

Toward patient-specific myocardial models of the heart.

N. Ayache, H. Delingette, Maxime Sermesant, 2008, Heart failure clinics.

Population‐based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2018, International journal for numerical methods in biomedical engineering.

Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2017, Biomechanics and Modeling in Mechanobiology.

Preliminary specificity study of the Bestel-Clément-Sorine electromechanical model of the heart using parameter calibration from medical images.

N. Ayache, H. Delingette, M. Sorine, 2013, Journal of the mechanical behavior of biomedical materials.

Clinical applications of image fusion for electrophysiology procedures

YingLiang Ma, Hervé Delingette, Richard James Housden, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping.

N. Ayache, H. Delingette, Maxime Sermesant, 2016, IEEE transactions on bio-medical engineering.

An Integrated Platform for Dynamic Cardiac Simulation and Image Processing: Application to Personalised Tetralogy of Fallot Simulation

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, VCBM.

Building maps of local apparent conductivity of the epicardium with a 2-D electrophysiological model of the heart

Hervé Delingette, Maxime Sermesant, Elliot R. McVeigh, 2006, IEEE Transactions on Biomedical Engineering.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Dante De Nigris, Sascha E. A. Muenzing, Marleen de Bruijne, 2011, IEEE Transactions on Medical Imaging.

3D-2D projective registration of free-form curves and surfaces

Nicholas Ayache, Jacques Feldmar, Fabienne Betting, 1995, Proceedings of IEEE International Conference on Computer Vision.

A New Framework for Fusing Stereo Images with Volumetric Medical Images

Nicholas Ayache, Frederic Devernay, Jacques Feldmar, 1995, CVRMed.

Estimating Local Apparent Conductivity with a 2-D Electrophysiological Model of the Heart

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2005, FIMH.

Statistical Analysis of Longitudinal MRI Data: Applications for Detection of Disease Activity in MS

D. Louis Collins, Andrew L. Janke, Nicholas Ayache, 2002, MICCAI.

Medical Image Analysis and Simulation

Nicholas Ayache, N. Ayache, 1997, ASIAN.

Evaluating 3D registration of CT-scan images using crest lines

Nicholas Ayache, Jean-Philippe Thirion, Jerome Knoplioch, 1993, Optics & Photonics.

Research Tracks in Computer Vision Applied to 3D Medical Images

Nicholas Ayache, N. Ayache, 1994 .

Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images

Sébastien Ourselin, Ludwig M. Auer, Nicholas Ayache, 2000, MICCAI.

Virtual Reality, Augmented Reality and Robotics in surgical procedures of the liver

Hervé Delingette, Luc Soler, Stéphane Nicolau, 2004 .

Sparse Bayesian registration of medical images for self‐tuning of parameters and spatially adaptive parametrization of displacements

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2017, Medical Image Anal..

TETRALOGY OF FALLOT : CAN IT PROVIDE INSIGHT INTO PATIENT TREATMENT ?

N. Ayache, X. Pennec, Maxime Sermesant, 2013 .

A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning

Boris C. Bernhardt, Hervé Delingette, Nicholas Ayache, 2009, MICCAI.

From Semantics to Computer Science: Asclepios: a research project team at INRIA for the analysis and simulation of biomedical images

N. Ayache, G. Malandain, X. Pennec, 2009 .

Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI

Grégoire Malandain, Miguel Ángel González Ballester, Guillaume Dugas-Phocion, 2004, MICCAI.

Tracking brain deformations in time sequences of 3D US images

Nicholas Ayache, Xavier Pennec, Pascal Cathier, 2003, Pattern Recognit. Lett..

Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine

N. Ayache, 1995 .