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Jean-Philippe Thiran

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Related publications (496)

Diffusion MR Image Segmentation: Towards Global Brain Connectivity Analysis

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

The exploration of the human connectome, a term denoting the global structural connectivity of the brain, is accessible to MRI at millimeter and centimeter scales. In this paper, we propose a methodology to map the connectome by constructing normalized who ...

Societa Editrice Esculapio-Progetto Leonardo, Via Umberto Terracini 30, Bologna, 40131, Italy2009

Shape prior based on statistical map for active contour segmentation

Valérie Duay, Jean-Philippe Thiran, Nawal Houhou, Alia Lemkaddem

We propose a new method for performing active contour segmentation based on the statistical prior knowledge of the object to detect. From a binary training set of objects, a statistical map describes the possible shapes of the object by computing the proba ...

2008

Estimating the Confidence Level of White Matter Connections Obtained with MRI Tractography

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

Background Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. ...

2008

Using entropy as a stream reliability estimate for audio-visual speech recognition

Jean-Philippe Thiran, Mihai Gurban

We present a method for dynamically integrating audio-visual information for speech recognition, based on the estimated reliability of the audio and visual streams. Our method uses an information theoretic measure, the entropy derived from the state probab ...

2008

Dynamic modality weighting for multi-stream HMMs in Audio- Visual Speech Recognition

Jean-Philippe Thiran, Mihai Gurban, Thomas Drugman

Merging decisions from different modalities is a crucial problem in Audio-Visual Speech Recognition. To solve this, state synchronous multi-stream HMMs have been proposed for their important advantage of incorporating stream reliability in their fusion sch ...

ACM2008

Fast Bias Field Correction for 9.4 Tesla Magnetic Resonance Imaging

Murat Kunt, Jean-Philippe Thiran, Meritxell Bach Cuadra, Nicolas Kunz, Rolf Gruetter, Nathalie Just, Xavier Pena Pina

In this paper the problem of intensity inhomogeneity at high magnetic field on magnetic resonance images is addressed. Specifically, rat brain images at 9.4T acquired with a surface coil are bias corrected. We propose a low- pass frequency model that takes ...

2008

Finger-spelling Recognition within a Collaborative Segmentation/Behavior Inference Framework

Jean-Philippe Thiran, Laura Ioana Gui

We introduce a new approach for finger-spelling recognition from video sequences, relying on the collaboration between the feature extraction and behavior inference processes. The inference process dynamically guides the segmentation- based feature extract ...

2008

Brain Surface Segmentation of Magnetic Resonance Images of the Fetus

Jean-Philippe Thiran, Meritxell Bach Cuadra, Dominique Zosso, Nawal Houhou, Marie Schaer, Damien Ferrario

In this work we present a method for the image analysis of Magnetic Resonance Imaging (MRI) of fetuses. Our goal is to segment the brain surface from multiple volumes (axial, coronal and sagittal acquisitions) of a fetus. To this end we propose a two-step ...

2008

Fast multi-view face tracking with pose estimation

Jean-Philippe Thiran, Julien Meynet, Javier Cruz Mota

In this paper, a fast and an effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose we employ a tree of boosted classiﬁers built using either Haar-like ﬁlters or Gauss ﬁlters. A ﬁrst classiﬁer extra ...

2008

Extraction of audio features specific to speech production for multimodal speaker detection

Murat Kunt, Jean-Marc Vesin, Jean-Philippe Thiran, Vlad Popovici, Patricia Besson

A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...

2008

Thalamic nuclei clustering on High Angular Resolution Diffusion Images

Pascal Hagmann, Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Azzurra Grassi, Leila Cammoun

Thalamic nuclei can be distinguished by their characteristic fiber orientations, which influence the diffusion. Fiber orientations are relatively aligned within a nucleus due to the fact that the cerebrocortical striations within a nucleus all target the s ...

2008

Influence of boundary conditions in monopolar deep brain stimulations models

Juan Ramon Mosig, Jean-Philippe Thiran, Grégoire Walckiers

2008

Modelling human perception of static facial expressions

Jean-Philippe Thiran, Michel Bierlaire, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Barbara Cerretani

Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results in a lack of a unique ground-truth, as intended in the standard classification ...

2008

Bi-planar 2D-to-3D Registration in Fourier Domain for Stereoscopic X-Ray Motion Tracking

Kamiar Aminian, Jean-Philippe Thiran, Meritxell Bach Cuadra, Dominique Zosso, Benoît Le Callennec

In this paper we present a new method to track bone movements in stereoscopic X-ray image series of the knee joint. The method is based on two different X-ray image sets: a rotational series of acquisitions of the still subject knee that will allow the tom ...

2008

An Active Contour-based Atlas Registration Model for Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation

Valérie Duay, Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Francisco Javier Sanchez Castro

This paper presents a new non parametric atlas registration framework, derived from the optical flow model and the active contour theory, applied to automatic subthalamic nucleus (STN) targeting in deep brain stimulation (DBS) surgery. In a previous work, ...

Springer Berlin / Heidelberg2008

Fast Texture Segmentation Model based on the Shape Operator and Active Contour

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precisely, we propose a new texture descriptor which intrinsically defines the geom ...

2008

CEC Designer: Domain Specific Modelling for the Industrial Automation Based on the IEC 61499 Standard

Murat Kunt, Jean-Philippe Thiran, Tiziano Leidi

2008

Fast-Marching Tractography for Connection Matrix (Fast-TraC)

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

Although high angular resolution diffusion MRI techniques are able to solve multiple intra-voxel fiber orientations, the usual streamline Diffusion Spectrum Imaging (DSI) tractography algorithms present some limitations in their ability to map complex fibe ...

2008

Hierarchical Image Registration with an Active Contour-Based Atlas Registration Model

Valérie Duay, Jean-Philippe Thiran, Nawal Houhou, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

This paper proposes to apply the non parametric atlas registration framework we have recently developed in [6]. This technique derived from the optical flow model and the active contour framework allows to base the registration of an anatomical atlas on se ...

2008

Time-Varying Segmentation for Mapping of Land Cover Changes

Jean-Philippe Thiran, François Aspert, Meritxell Bach Cuadra

Among all satellite imaging systems, Synthetic Aperture Radar (SAR) is useful for monitoring purposes, as they provide data at any time under all weather conditions. Today, three spaceborne SAR systems are operational, while by the end of 2007 three furthe ...

2007

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