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Jean-Philippe Thiran

Cette personne a quitté l’EPFL

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Publications associées (483)

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

Jean-Philippe Thiran, Leila Cammoun, Marie Schaer, Leila Faiza Ben Hamida 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

Comparing Steam and PGSE Diffusion MRI Signal of RAT Lymph Nodes Using In-Silico Simulations

Jean-Philippe Thiran, Gabriel Girard, Erick Jorge Canales Rodriguez, Elda Fischi Gomez, Rémy Marc M Gardier, Juan Luis Villarreal Haro, Arnaud François Pascal Savoy

Diffusion magnetic resonance imaging (dMRI) has demonstrated great capabilities to quantify tissue microstructure using biophysical diffusion models. Over the years, various gradient sequences have been proposed to provide sensitivity and specificity to va ...

IEEE Computer Society2024

Model-informed machine learning for multi-component T2 relaxometry

Jean-Philippe Thiran, Tobias Kober, Meritxell Bach Cuadra, Tom Hilbert, Erick Jorge Canales Rodriguez, Cristina Granziera, Muhamed Barakovic, Marco Pizzolato, Elda Fischi Gomez, Thomas Yu, Gian Franco Piredda

Recovering the distribution from multi-echo magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-structure, such as the myelin water fraction (MWF). In this work, we propose to comb ...

2020

Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology

Jean-Philippe Thiran, Reto Meuli, Tobias Kober, Cristina Granziera, Tom Hilbert, Guillaume Bonnier, Gian Franco Piredda

Purpose To exploit the improved comparability and hardware independency of quantitative MRI, databases of MR physical parameters in healthy tissue are required, to which tissue properties of patients can be compared. In this work, normative values for long ...

WILEY2020

Single-Shot CNN-Based Ultrasound Imaging with Sparse Linear Arrays

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

Sparse arrays are a topic of high interest within the ultrasound (US) imaging community, because of their promising ability to reduce costs, complexity, energy consumption, and data transfer requirements of US systems, thus addressing the main challenges o ...

IEEE2020

Accuracy and Reliability of Pelvimetry Measures Obtained by Manual or Automatic Labeling of Three-Dimensional Pelvic Models

Jean-Philippe Thiran, Sandra Maria Marcadent

(1) Background: The morphology of the pelvic cavity is important for decision-making in obstetrics. This study aimed to estimate the accuracy and reliability of pelvimetry measures obtained when radiologists manually label anatomical landmarks on three-dim ...

MDPI2024

Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems

Jean-Philippe Thiran, Pierre Vandergheynst, Patric Hagmann, Alessandro Daducci, Alessandra Griffa, Xavier Bresson, Benjamin Ricaud, Kirell Maël Benzi

The study of brain dynamics enables us to characterize the time-varying functional connectivity among distinct neural groups. However, current methods suffer from the absence of structural connectivity information. We propose to integrate infra-slow neural ...

Elsevier2017

Computing effective properties of random heterogeneous materials on heterogeneous parallel processors

Jean-Philippe Thiran

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

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Mohammad Saeed Rad, Guillaume Marc Georges Vray, Devavrat Tomar

In medical image segmentation, supervised deep networks' success comes at the cost of requiring abundant labeled data. While asking domain experts to annotate only one or a few of the cohort's images is feasible, annotating all available images is impracti ...

IEEE COMPUTER SOC2022

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

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

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

Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Marco Pizzolato, Elda Fischi Gomez, Jonathan Rafael Patino Lopez, Gian Franco Piredda

Multiple sclerosis (MS) is an inflammatory and neurodegenerative disease characterized by diffuse and focal areas of tissue loss. Conventional MRI techniques such as T1-weighted and T2-weighted scans are generally used in the diagnosis and prognosis of the ...

IEEE2021

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

The interplay between white adipose tissue, adipokines, and structural gray matter changes

Jean-Philippe Thiran, Gabriel Girard, Elda Fischi Gomez

The growing global obesity issue emphasizes the importance of understanding its health implications. Previous research has identified consistent alterations in gray matter (GM) volume in connection with obesity. Given the various implications of distinct f ...

Wiley2024

Scalable splitting algorithms for big-data interferometric imaging in the SKA era

Jean-Philippe Thiran, Yves Wiaux, Jason Douglas McEwen, Rafael Eduardo Carrillo Rangel

In the context of next generation radio telescopes, like the Square Kilometre Array, the efficient processing of large-scale datasets is extremely important. Convex optimisation tasks under the compressive sensing framework have recently emerged and provid ...

OUP2016

Orientation-Dispersed Apparent Axon Diameter via Multi-Stage Spherical Mean Optimization

Jean-Philippe Thiran, Marco Pizzolato

The estimation of the apparent axon diameter (AAD) via diffusion MRI is affected by the incoherent alignment of single axons around its axon bundle direction, also known as orientational dispersion. The simultaneous estimation of AAD and dispersion is chal ...

SPRINGER-VERLAG BERLIN2018

AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar

Unsupervised anomaly detection in medical images such as chest radiographs is stepping into the spotlight as it mitigates the scarcity of the labor-intensive and costly expert annotation of anomaly data. However, nearly all existing methods are formulated ...

Springer International Publishing Ag2023

Probing myelin content of the human brain with MRI: A review

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Gian Franco Piredda

Rapid and efficient transmission of electric signals among neurons of vertebrates is ensured by myelin-insulating sheaths surrounding axons. Human cognition, sensation, and motor functions rely on the integrity of these layers, and demyelinating diseases o ...

WILEY2021

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

Jean-Philippe Thiran, 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

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

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

Harmonic analysis of spherical sampling in diffusion MRI

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

In the last decade diffusion MRI has become a powerful tool to non-invasively study white-matter integrity in the brain. Recently many research groups have focused their attention on multi-shell spherical acquisitions with the aim of effectively mapping th ...

2011