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Jean-Philippe Thiran

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Related publications (496)

Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data

Jean-Philippe Thiran, Alessandro Daducci, Hui Zhang, Erick Jorge Canales Rodriguez, Tim Bjørn Dyrby

Microstructure imaging from diffusion magnetic resonance (MR) data represents an invaluable tool to study non-invasively the morphology of tissues and to provide a biological insight into their microstructural organization. In recent years, a variety of bi ...

Elsevier2015

Structured sparsity through reweighting and application to diffusion MRI

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

We consider the problem of multiple correlated sparse signals reconstruction and propose a new implementation of structured sparsity through a reweighting scheme. We present a particular application for diffusion Magnetic Resonance Imaging data and show ho ...

2015

Discriminant Multi-Label Manifold Embedding for Facial Action Unit Detection

Jean-Philippe Thiran, Anil Yuce, Hua Gao

This article describes a system for participation in the Facial Expression Recognition and Analysis (FERA2015) sub-challenge for spontaneous action unit occurrence detection. The problem of AU detection is a multi-label classification problem by its nature ...

2015

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Dimitri Nestor Alice Van De Ville, David Paul Roger Romascano

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase ...

Elsevier2015

Intracranial Aneurysms: Wall Motion Analysis for Prediction of Rupture

Jean-Philippe Thiran

Intracranial aneurysms are a common pathologic condition with a potential severe complication: rupture. Effective treatment options exist, neurosurgical clipping and endovascular techniques, but guidelines for treatment are unclear and focus mainly on pati ...

Amer Soc Neuroradiology2015

Tensor optimisation for optical-interferometric imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Anna Auria Rasclosa

Image recovery in optical interferometry is an ill-posed nonlinear inverse problem arising from incomplete power spectrum and bispectrum measurements. We reformulate this nonlin- ear problem as a linear problem for the supersymmetric rank-1 order-3 tensor ...

Oxford Univ Press2014

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Alessandro Daducci

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

Institute of Electrical and Electronics Engineers2014

Harmonic Active Contours

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

We propose a segmentation method based on the geometric representation of images as two-dimensional manifolds embedded in a higher dimensional space. The segmentation is formulated as a minimization problem, where the contours are described by a level set ...

Institute of Electrical and Electronics Engineers2014

Hierarchical sparse representation for dictionary-based classification of hyperspectral images

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Giona Matasci, Diego Marcos Gonzalez

2014

Sparsity in tensor optimization for optical-interferometric imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Anna Auria Rasclosa

Image recovery in optical interferometry is an ill-posed nonlinear inverse problem arising from incomplete power spectrum and bispectrum measurements. We review our previous work, which reformulates this nonlinear problem in the framework of tensor recover ...

IEEE2014

Anatomical Priors to improve Global Tractography

Jean-Philippe Thiran, Alia Lemkaddem, Alessandro Daducci

The main assumption of fiber-tracking algorithms is that fiber trajectories are represented by paths of highest diffusion, which is usually accomplished by following the principal diffusion directions in every voxel. The state-of-the-art approaches known a ...

2014

Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging

Jean-Philippe Thiran, Nicolas Kunz, François Lazeyras, Alia Lemkaddem, Alessandro Daducci

Focal epilepsy is increasingly recognized as the result of an altered brain network, both on the structural and functional levels and the characterization of these widespread brain alterations is crucial for our understanding of the clinical manifestation ...

2014

Multicontrats MRI Improved the Clinico-Radiological Correlation in Early Multiple Sclerosis Patients with Minor Deficits

Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alexis Roche, Ying-Chia Lin

Conventional magnetic resonance imaging (MRI) of patients with multiple sclerosis provides only limited insights into the nature of brain tissue damage with modest clinical-radiological correlations. In this study, quantitative and semi-quantitative MRI te ...

2014

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we used an improved version of the Tor Vergata radiative transfer model to simulate the backscattering coefficient for the L-band SAR signals over areas covered with vegetation. Fields of winter wheat, maize and sugar beet observed during th ...

Ieee2014

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches

Jean-Philippe Thiran, Xavier Bresson, Dominique Zosso

In this paper, we present an efficient numerical scheme for the recently introduced geodesic active fields (GAF) framework for geometric image registration. This framework considers the registration task as a weighted minimal surface problem. Hence, the da ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Detecting emotional stress from facial expressions for driving safety

Jean-Philippe Thiran, Anil Yuce, Hua Gao

Monitoring the attentive and emotional status of the driver is critical for the safety and comfort of driving. In this work a real-time non-intrusive monitoring system is developed, which detects the emotional states of the driver by analyzing facial expre ...

2014

Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

Jonas Richiardi, Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Alexis Roche, Ying-Chia Lin

The cerebellum is involved in multiple sclerosis (MS), but its implication in early phases is still poorly understood. We investigated structural and functional cerebellar connectivity alterations in early and minimally impaired MS patients, and their corr ...

2014

Resting-brain functional connectivity predicted by analytic measures of network communication

Jean-Philippe Thiran, Patric Hagmann, Alessandra Griffa, Olaf Sporns

6 The complex relationship between structural and functional connectivity, as measured by noninvasive imaging of the human brain, poses many unresolved challenges and open questions. Here, we apply analytic measures of network communication to the structur ...

National Academy of Sciences2014

MR connectomics identifies a distributed subnetwork lesioned in schizophrenia

Jean-Philippe Thiran, Patric Hagmann, Alessandra Griffa, Kim Do

2014

Multiple Sclerosis Lesion Fingerprint Using Multicontrast MRI

Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alexis Roche, Ying-Chia Lin

Conventional magnetic resonance imaging (MRI) measures of multiple sclerosis patients provide limited information about the nature and the extent of brain damage and repair. We established a clinically compatible protocol including quantitative MRI techniq ...

2014

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