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Jean-Philippe Thiran

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Related publications (496)

Soft tissue artifact assessment during treadmill walking in subjects with total knee arthroplasty

Kamiar Aminian, Jean-Philippe Thiran, Arnaud Barré

Accurate measurement of knee kinematics during functional activities suffers mainly from soft tissue artifact (STA): the combination of local surface deformations and rigid movement of markers relative to the underlying bone (also called rigid STA movement ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Semi-Supervised Novelty Detection using SVM entire solution path

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

Very often, the only reliable information available to perform change detection is the description of some unchanged regions. Since sometimes these regions do not contain all the relevant information to identify their counterpart (the changes), we consider ...

Institute of Electrical and Electronics Engineers2013

Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations

Jean-Philippe Thiran, Marie Schaer, Leila Cammoun

Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dys ...

Frontiers Research Foundation2013

Direct detection of small motion from dynamic tomography images

Jean-Philippe Thiran, Shima Sepehri

2013

Reduced Fronto-Temporal and Limbic Connectivity in the 22q11.2 Deletion Syndrome: Vulnerability Markers for Developing Schizophrenia?

Jean-Philippe Thiran, Marie Schaer, Leila Cammoun

The 22q11.2 deletion syndrome (22q11DS) is a widely recognized genetic model allowing the study of neuroanatomicalvbiomarkers that underlie the risk for developing schizophrenia. Recent advances in magnetic resonance image analysesvenable the examination o ...

Public Library of Science2013

Sparse image reconstruction on the sphere: implications of a new sampling theorem

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy, Jason Douglas McEwen

A new sampling theorem on the sphere has been developed recently, reducing the number of samples required to represent a band-limited signal by a factor of two for equiangular sampling schemes. For signals sparse in a spatially localised measure, such as i ...

Institute of Electrical and Electronics Engineers2013

Sparsity Averaging for Compressive Imaging

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Jason Douglas McEwen, Rafael Eduardo Carrillo Rangel

We discuss a novel sparsity prior for compressive imaging in the context of the theory of compressed sensing with coherent redundant dictionaries, based on the observation that natural images exhibit strong average sparsity over multiple coherent frames. W ...

IEEE Institute of Electrical and Electronics Engineers2013

Kernel sparse subspace clustering

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier

2013

Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking

Jean-Philippe Thiran, Michel Bierlaire, Javier Cruz Mota

In this paper, we introduce the incremental temporally weighted principal component analysis (ITWPCA) algorithm, based on singular value decomposition update, and the incremental temporally weighted visual tracking with spatial penalty (ITWVTSP) algorithm ...

Institute of Electrical and Electronics Engineers2013

l0-deconvolution for compressive diffusion MRI

Jean-Philippe Thiran, Yves Wiaux, Alessandro Daducci, Anna Auria Rasclosa

Diffusion MRI is a well established imaging modality providing a powerful way to non-invasively probe the structure of the white matter. Despite the potential of the technique, the intrinsic long scan times of these sequences have hampered their use in cli ...

2013

Robust Phase-Correlation based Registration of Airborne Videos using Motion Estimation

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

This paper presents a robust algorithm for the registration of airborne video sequences with reference images from a different source (airborne or satellite), based on phase-correlation. Phase-correlations using Fourier-Melin Invariant (FMI) descriptors al ...

Springer-Verlag2013

A convex optimization framework for global tractography

Jean-Philippe Thiran, Alia Lemkaddem, Alessandro Daducci

In this article we present a novel approach for diffusion MRI global tractography. Our formulation models the signal in each voxel as a linear combination of fiber-tract basis func- tions, which consist of a comprehensive set of plausible fiber tracts that ...

2013

Structural connectomics in brain diseases

Jean-Philippe Thiran, Patric Hagmann, Philipp Baumann, Alessandra Griffa

Imaging the connectome in vivo has become feasible through the integration of several rapidly developing fields of science and engineering, namely magnetic resonance imaging and in particular diffusion MRI on one side, image processing and network theory o ...

Elsevier2013

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Jean-Philippe Thiran

Tracking vocal tract formant frequencies (

f_p

) and estimating the fundamental frequency (

f_0

) are two tracking problems that have been tackled in many speech processing works, often independently, with applications to articulatory parameters estimation ...

Institute of Electrical and Electronics Engineers2013

Improved Local Binary Pattern Based Action Unit Detection Using Morphological and Bilateral Filters

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce

Automatic facial action unit (AU) detection in videos is the key ingredient to all systems that utilize a subject face for either interaction or analysis purposes. With the ever growing range of possible applications, achieving a high accuracy in the simpl ...

2013

Estimation of Soil Moisture from Airborne Hyperspectral Imagery with Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we propose to estimate soil moisture in bare soils directly from hyperspectral imagery using support vector regression (nu-SVR). nu-SVR is a supervised non-parametric learning technique, e.g. making no assumption on the underlying data distr ...

2013

Adjustable fixation system for neurosurgical devices

Jean-Philippe Thiran, Rémi Charrier, David Haag

The system comprises at least a support (5) to be attached to a patient by fixing means (4), said support having an outer thread (7), a first nut (9) with an inner thread (11 ) cooperating with said outer thread (7) and an anchor having a spherical bottom ...

2012

Mapping the human connectome at multiple scales with diffusion spectrum MRI

Jean-Philippe Thiran, Djalel Eddine Meskaldji, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns, Kim Do

The global structural connectivity of the brain, the human connectome, is now accessible at millimeter scale with the use of MRI. In this paper, we describe an approach to map the connectome by constructing normalized whole-brain structural connection matr ...

Elsevier2012

A new early and automated MRI-based predictor of motor improvement after stroke

Jean-Philippe Thiran, Djalel Eddine Meskaldji, Reto Meuli, Nouchine Hadjikhani, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Alexis Roche, Richard Frackowiak

Objectives: In this study, we investigated the structural plasticity of the contralesional motor network in ischemic stroke patients using diffusion magnetic resonance imaging (MRI) and explored a model that combines a MRI-based metric of contralesional ne ...

2012

On dynamic stream weighting for Audio-Visual Speech Recognition

Jean-Philippe Thiran, Mihai Gurban, Virginia Estellers Casas

The integration of audio and visual information improves speech recognition performance, specially in the presence of noise. In these circumstances it is necessary to introduce audio and visual weights to control the contribution of each modality to the re ...

2012

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