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Jean-Philippe Thiran

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Related publications (496)

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

Jean-Philippe Thiran, Alessandro Daducci, Erick Jorge Canales Rodriguez

In this study, we developed a robust inversion algorithm to estimate the Neurite Orientation Dispersion and Density Imaging (NODDI) model. It is based on the Accelerated Microstructure Imaging via Convex Optimization (AMICO) framework. However, in contrast ...

2018

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

Jean-Philippe Thiran, Meritxell Bach Cuadra, Dimitri Nestor Alice Van De Ville, Elena Najdenovska, Thomas William Arthur Bolton, Constantin Tuleasca, Adrien Jean Régis Maurice Hilaire

OBJECTIVE Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard stereotactic deep brain stimulation or radiofrequency thalamotomy or, alternatively, minimally invasive techniques, including stereotactic rad ...

AMER ASSOC NEUROLOGICAL SURGEONS2018

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Jean-Philippe Thiran

Training robust deep learning (DL) systems for medical image classification or segmentation is challenging due to limited images covering different disease types and severity. We propose an active learning (AL) framework to select most informative samples ...

Springer2018

Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations

Jean-Philippe Thiran, Benoît Macq, Gabriel Girard, Gaëtan Olivier D Rensonnet

Many closed-form analytical models have been proposed to relate the diffusion-weighted magnetic resonance imaging (DW-MRI) signal to microstructural features of white matter tissues. These models generally make assumptions about the tissue and the diffusio ...

2018

Sparse Recovery of Strong Reflectors With an Application to Non-Destructive Evaluation

Martin Vetterli, Jean-Philippe Thiran, Dimitris Perdios, Hanjie Pan, Adrien Georges Jean Besson, Eric Bezzam

In this paper we show that it is sufficient to recover the locations of K strong reflectors within an insonified medium from three receive elements and 2K+1 samples per element. The proposed approach leverages advances in sampling signals with a finite rat ...

IEEE2018

Compressive Multiplexing of Ultrasound Signals

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson, Marcel Arditi

High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have been deve ...

IEEE2018

In-vivo probabilistic atlas of human thalamic nuclei based on diffusion-weighted magnetic resonance imaging

Jean-Philippe Thiran, Meritxell Bach Cuadra, Patric Hagmann, Elena Najdenovska, Maxime Descoteaux

The thalamic nuclei are involved in many neurodegenerative diseases and therefore, their identification is of key importance in numerous clinical treatments. Automated segmentation of thalamic subparts is currently achieved by exploring diffusion-weighted ...

NATURE PUBLISHING GROUP2018

Face Frontalization for Cross-Pose Facial Expression Recognition

Jean-Philippe Thiran, Christophe René Joseph Ecabert, Hazim Kemal Ekenel, Deniz Engin

In this paper, we have explored the effect of pose normalization for cross-pose facial expression recognition. We have first presented an expression preserving face frontalization method. After face frontalization step, for facial expression representation ...

IEEE COMPUTER SOC2018

Unified multi-modal characterization of microstructural parameters of brain tissue using diffusion MRI and multi-echo T2 data

Jean-Philippe Thiran, Nicolas Kunz, Alessandro Daducci, Erick Jorge Canales Rodriguez, Marco Pizzolato

In this study, a unified framework to estimate different microstructure indices from diffusion MRI and multi-echo T2 (MET2) data was proposed.The new methodology takes into account the common and complementary information provided by both modalities. While ...

2018

Central nervous system microbleeds in the acute phase are associated with structural integrity by DTI one year after mild traumatic brain injury: A longitudinal study

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci, Pietro Bontempi

Introduction: Several imaging modalities are under investigation to unravel the pathophysiological mystery of delayed performance deficits in patients after mild traumatic brain injury (mTBI). Although both imaging and neuropsychological studies have been ...

ELSEVIER URBAN & PARTNER SP Z O O2018

Deep Convolutional Neural Network for Ultrasound Image Enhancement

Adrien Besson, Jean-Philippe Thiran, Dimitris Perdios, Adrien Georges Jean Besson, Florian Martinez, Marcel Arditi, Manuel Vonlanthen

The problem of improving image quality in ultrafast ultrasound (US) imaging by means of regularized iterative algorithms has raised a vast interest in the US community. These approaches usually rely on standard image processing priors, such as wavelet spar ...

IEEE2018

Realistic 3D Fiber Crossing Phantom Models for Monte Carlo Diffusion Simulations

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Gaëtan Olivier D Rensonnet, Jonathan Rafael Patino Lopez

2018

1024-Channel 3D Ultrasound Digital Beamformer in a Single 5W FPGA

Jean-Philippe Thiran, Giovanni De Micheli, Federico Angiolini, Aya Mohamed Naguib Ahmed Ibrahim

3D ultrasound, an emerging medical imaging technique that is presently only used in hospitals, has the potential to enable breakthrough telemedicine applications, provided that its cost and power dissipation can be minimized. In this paper, we present an F ...

IEEE2017

Single-FPGA complete 3D and 2D medical ultrasound imager

Jean-Philippe Thiran, Giovanni De Micheli, Federico Angiolini, Damien Doy, Aya Mohamed Naguib Ahmed Ibrahim, Marcel Arditi

3D ultrasound (US) acquisition acquires volumetric images, thus alleviating a classical US imaging bottleneck that requires a highly-trained sonographer to operate the US probe. However, this opportunity has not been explored in practice, since 3D US machi ...

IEEE2017

Soil Moisture Estimation by SAR in Alpine Fields Using Gaussian Process Regressor Trained by Model Simulations

Jean-Philippe Thiran, Jelena Stamenkovic

In this paper, we address the problem of retrieving soil moisture over a grassland alpine area from Synthetic Aperture Radar (SAR) data using a statistical algorithm trained by simulations of a physical model. A time series of C-band VV-polarized Wide Swat ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Experimental verification of optimal frequency range for microwave head imaging

Juan Ramon Mosig, Michael Mattes, Jean-Philippe Thiran, Mina Bjelogrlic, Benjamin Fuchs

This work presents the experimental verification of the power transmission of a radiating field into the human head for Microwave Imaging (MWI) applications. We aim at finding the range of frequencies that optimize the power scattered by any anomalies from ...

2017

Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

Jean-Philippe Thiran, Yves Wiaux, Dimitris Perdios, Adrien Georges Jean Besson, Rafael Eduardo Carrillo Rangel, Florian Martinez, Marcel Arditi

Conventional ultrasound (US) image reconstruction methods rely on delay-and-sum (DAS) beamforming, which is a relatively poor solution of the image reconstruction problem. An alternative to DAS consists in using iterative techniques which require both an a ...

2017

In-vivo Bundle-Specific Axon Diameter Distributions Estimation across the Corpus Callosum

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Maxime Descoteaux

Over the last decade microstructure imaging has become commonly endorsed to estimate quantitative features of neuronal tissue. However, those techniques estimate the microstructure only locally. Microstructure informed tractography was recently proposed to ...

2017

A Computer Vision System to Localize and Classify Wastes on the Streets

Jean-Philippe Thiran, Andreas von Kaenel, Mohammad Saeed Rad, André Droux, Hazim Kemal Ekenel

Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cleanliness could reduce the littering by awareness actions. In this paper, we ...

Springer International Publishing2017

When does a volume of a bundle achieve saturation? A microstructure informed tractography study

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Maxime Descoteaux

Volumetric analysis of bundles derived from tractography is a popular statistical measure used in neurological disorder studies. Recent research performed by Gauvin shows that different bundles saturate with different tractography parameters, however, to a ...

2017

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