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Jean-Philippe Thiran

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Related publications (496)

An Efficient Algorithm for Level Set Method Preserving Distance Function

Jean-Philippe Thiran, Xavier Bresson, Dominique Zosso, Virginia Estellers Casas

The level set method is a popular technique for tracking moving interfaces in several disciplines including computer vision and fluid dynamics. However, despite its high flexibility, the original level set method is limited by two important numerical issue ...

Institute of Electrical and Electronics Engineers2012

Multi-pose lipreading and audio-visual speech recognition

Jean-Philippe Thiran, Virginia Estellers Casas

In this article, we study the adaptation of visual and audio-visual speech recognition systems to non-ideal visual conditions. We focus on overcoming the effects of a changing pose of the speaker, a problem encountered in natural situations where the speak ...

2012

Automatic Mallampati Classification Using Active Appearance Models

Jean-Philippe Thiran, Matteo Sorci, Gabriel Louis Cuendet, Anil Yuce

Difficult tracheal intubation assessment is an important research topic in anesthesia as failed intubations are important causes of mortality in anesthetic practice. The modified Mallampati score is widely used, alone or in conjunction with other criteria, ...

2012

Scale Invariant Feature Transform on the Sphere: Theory and Applications

Jean-Philippe Thiran, Michel Bierlaire, Iva Bogdanova Vandergheynst, Javier Cruz Mota

A SIFT algorithm in spherical coordinates for omnidirectional images is proposed. This algorithm can generate two types of local descriptors, Local Spherical Descriptors and Local Planar Descriptors. With the first ones, point matching between two omnidire ...

Springer Verlag2012

Altered structural connectivity in patients with medial temporal lobe epilepsy: A Diffusion Spectrum Imaging and Graph Analysis study

Jean-Philippe Thiran, Alia Lemkaddem, Alessandra Griffa, Alessandro Daducci

In this study we investigated the effect of medial temporal lobe epilepsy (MTLE) on the global characteristics of brain connectivity estimated by topological measures. We used DSI (Diffusion Spectrum Imaging) to construct a connectivity matrix where the no ...

2012

Computing effective properties of random heterogeneous materials on heterogeneous parallel processors

Jean-Philippe Thiran, Tiziano Leidi, Alberto Ortona

In recent decades, finite element (FE) techniques have been extensively used for predicting effective properties of random heterogeneous materials. In the case of very complex microstructures, the choice of numerical methods for the solution of this proble ...

Elsevier2012

Musical Audio Source Separation Based on User-Selected F0 Track

Jean-Philippe Thiran

A system for user-guided audio source separation is presented in this article. Following previous works on time-frequency music representations, the proposed User Interface allows the user to select the desired audio source, by means of the assumed fundame ...

2012

Spread spectrum magnetic resonance imaging

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Rolf Gruetter, Yves Wiaux, José Pedro Rebelo Ferreira Marques, Gilles Puy

We propose a novel compressed sensing technique to accelerate the magnetic resonance imaging (MRI) acquisition process. The method, coined spread spectrum MRI or simply s2MRI, consists of pre-modulating the signal of interest by a linear chirp before rando ...

Institute of Electrical and Electronics Engineers2012

Whole-brain structural connectivity in temporal lobe epilepsy: a Diffusion Spectrum Imaging study

Jean-Philippe Thiran, François Lazeyras, Alia Lemkaddem, Alessandra Griffa, Alessandro Daducci

Introduction: Medial Temporal Lobe Epilepsy (mTLE) with hippocampal sclerosis is the most frequent cause of drug-resistant focal epilepsy in adults. These patients suffer from widespread subtle white matter abnormalities and abnormal functional connectivit ...

2012

A multi-center study: Intra-scan and inter-scan variability of Diffusion Spectrum Imaging

Jean-Philippe Thiran, François Lazeyras, Alia Lemkaddem, Gunnar Krüger, Alessandro Daducci, Kieran O'Brien

The objective of this study was to investigate whether it is possible to pool together diffusion spectrum imaging data from four different scanners, located at three different sites. Two of the scanners had identical configuration whereas two did not. To m ...

Elsevier2012

Semi-Supervised and Unsupervised Novelty Detection using Nested Support Vector Machines

Jean-Philippe Thiran, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Volker Gass

Very often in change detection only few labels or even none are available. In order to perform change detection in these extreme scenarios, they can be considered as novelty detection problems, semi-supervised (SSND) if some labels are available otherwise ...

Ieee2012

Unsupervised Change Detection via Hierarchical Support Vector Clustering

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Volker Gass

When dealing with change detection problems, information about the nature of the changes is often unavailable. In this paper we propose a solution to perform unsupervised change detection based on nonlinear support vector clustering. We build a series of n ...

2012

The Connectome Mapper: an open-source processing pipeline to map connectomes with MRI

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Alia Lemkaddem, Alessandra Griffa, Alessandro Daducci, Leila Cammoun

Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra- ...

Public Library of Science2012

Lower and upper bounds for approximation of the Kullback-Leibler divergence between Gaussian Mixture Models

Jean-Philippe Thiran, Finnian Paul Kelly

Many speech technology systems rely on Gaussian Mixture Models (GMMs). The need for a comparison between two GMMs arises in applications such as speaker verification, model selection or parameter estimation. For this purpose, the Kullback-Leibler (KL) dive ...

Ieee2012

The influence of frontal glutathione levels on white matter connectivity in healthy and early psychosis subjects: a preliminary study

Jean-Philippe Thiran, Patric Hagmann, Rolf Gruetter, Lijing Xin, Alessandra Griffa, Kim Do

2012

Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

Accurate segmentation of lymph nodes in head and neck (H&N) CT images is essential for the radiotherapy planning of the H&N cancer. Atlas-based segmentation methods are widely used for the automated segmentation of such structures. Multi-atlas approaches a ...

Ieee2012

Graph theory to analyse developmental plasticity in connectivity of preterm children

Jean-Philippe Thiran, François Lazeyras, Alessandra Griffa, Elda Fischi Gomez, Alessandro Daducci

2012

High b-value diffusion-weighted imaging: a sensitive method to reveal white matter differences in schizophrenia

Pierre Marquet, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Reto Meuli, Philipp Baumann, Leila Cammoun

Over the last ten years, Diffusion-weighted Imaging (DWI) has become an important tool to investigate white matter (WM) anomalies in schizophrenia. Despite technological improvement and the exponential use of this technique, discrepancies remain and little ...

Elsevier2012

Brain tissue segmentation on diffusion weighted magnetic resonance data

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Alessandro Daducci, Oscar Esteban-Sanz

2012

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer

Cortical folding (gyrification) is determined during the first months of life, so that adverse events occurring during this period leave traces that will be identifiable at any age. As recently reviewed by Mangin and colleagues2, several methods exist to q ...

2012

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