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Jean-Philippe Thiran

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Publications associées (496)

An interactive toolbox for atlas-based segmentation and coding of volumetric images

Valérie Duay, Gloria Menegaz, Jean-Philippe Thiran, Sara Luti

2007

Joint Object Segmentation and Behavior Classification in Image Sequences

Jean-Philippe Thiran, Laura Ioana Gui

In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial for both tasks, since it enables them to cooperate so that knowledge relevant t ...

2007

Deriving scalar maps from Diffusion Spectrum MRI

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Van Jay Wedeen, Leila Cammoun

Whole brain DSI acquisitions are now clinically feasible. It is therefore necessary to have scalar maps available in order to easily visualize summary statistics of the full 3D diffusion pdf available in every voxel. We show how to derive from DSI not only ...

IEEE2007

Scale-space analysis and active contours for omnidirectional images

Jean-Philippe Thiran, Pierre Vandergheynst, Iva Bogdanova Vandergheynst, Xavier Bresson

A new generation of optical devices that generate images covering a larger part of the field of view than conventional cameras, namely catadioptric cameras, is slowly emerging. These omnidirectional images will most probably deeply impact computer vision i ...

Institute of Electrical and Electronics Engineers2007

Multisensory Interactions within Human Primary Cortices Revealed by BOLD Dynamics

Jean-Philippe Thiran, Reto Meuli, Clotaire Michel

Whether signals from different sensory modalities converge and interact within primary cortices in humans is unresolved, despite emerging evidence in animals. This is partially because of debates concerning the appropriate analyses of functional magnetic r ...

2007

A method to study alterations in networks of structural connectivity

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun

IEEE2007

Localization of electrodes in the subthalamic nucleus on magnetic resonance imaging

Jean-Philippe Thiran, Reto Meuli

Object. The authors describe a new method of localizing electrodes on magnetic resonance (MR) images and focus on the positions of both the most efficient contact and the electrode related to the MR imaging target. Methods. Thirty-one patients who had unde ...

2007

Analysis of Head Mounted Wireless Camera Videos for Early Diagnosis of Autism

Jean-Philippe Thiran, Aude Billard, Basilio Noris, Julien Meynet

2007

Low-Dimensional Motion Features for Audio-Visual Speech Recognition

Jean-Philippe Thiran, Mihai Gurban, Andrés Vallés

Audio-visual speech recognition promises to improve the performance of speech recognizers, especially when the audio is corrupted, by adding information from the visual modality, more specifically, from the video of the speaker. However, the number of visu ...

2007

Définition et sélection d’attributs visuels pour la reconnaissance audio-visuelle de la parole

Jean-Philippe Thiran, Mihai Gurban, Thomas Drugman, Andrés Vallés

2007

Direct Fourier Tomographic Reconstruction Image-To-Image Filter

Jean-Philippe Thiran, Meritxell Bach Cuadra, Dominique Zosso

We present an open-source ITK implementation of a direct Fourier method for tomographic reconstruction, applicable to parallel-beam x-ray images. Direct Fourier reconstruction makes use of the central-slice theorem to build a polar 2D Fourier space from th ...

2007

How much confidence do we have in a MRI tractography experiment?

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli

When performing a tractography experiment it is essential to know whether a reconstructed tract results from the diffusion signal itself or from some random effect or noise. In this study, we introduce a way to associate to every connection a confidence le ...

IEEE2007

Face Detection with Boosted Gaussian Features

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult task because of the large face intra-class variability which is due to the imp ...

2007

Active Contours and Information Theory for Supervised Segmentation on Scalar Images

Valérie Duay, Gloria Menegaz, Jean-Philippe Thiran, Sara Luti

2007

Information Theoretic Combination of Classifiers with Application to AdaBoost

Jean-Philippe Thiran, Julien Meynet

2007

Robust infants face tracking using active appearance models: a mixed-state CONDENSATION approach

Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Luigi Bagnato

In this paper a new extension of the CONDENSATION algorithm, with application to infants face tracking, will be introduced. In this work we address the problem of tracking a face and its features in baby video sequences. A mixed state particle filtering sc ...

Springer Verlag2007

Representing Diffusion MRI in 5D Simplifies Regularization and Segmentation of White Matter Tracts

Jean-Philippe Thiran, Xavier Bresson, Patric Hagmann, Lisa Jonasson, Van Jay Wedeen

Institute of Electrical and Electronics Engineers2007

Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions

Jean-Philippe Thiran, Benoit Mory

We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the probability density functions of both regions within the optimization process ...

2007

A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences

Jean-Philippe Thiran, Laura Ioana Gui

In this paper, we advance the state of the art in variational image segmentation through the fusion of bottom-up segmentation and top-down classification of object behavior over an image sequence. Such an approach is beneficial for both tasks and is carrie ...

2007

Fisher's Discriminant and Relevant Component Analysis for static facial expression classification

Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini

This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) represe ...

2007

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