Jean-Philippe Thiran

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In this paper, we propose a strategy for fusing clustering maps obtained with different remote sensing sources. Dempster- Shafer (DS) Theory is a powerful fusion method that allows to combine classifications from different sources and handles ignorance, im ...

This paper considers the problem of reconstructing raw signals from random projections in the context of time-of-flight imaging with an array of sensors. It presents a new signal model, coined as multi-channel pulse-stream model, which exploits pulse-strea ...

Traditional speech recognition systems use Gaussian mixture models to obtain the likelihoods of individual phonemes, which are then used as state emission probabilities in hidden Markov models representing the words. In hybrid systems, the Gaussian mixture ...

In right-handed subjects, language processing relies predominantly on left hemisphere networks, more so in men than in women, and in right- versus left-handers. Using DT-MRI tractography, we have shown that right-handed men are massively interconnected bet ...

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 ...

The present invention proposes a method for detecting anomalous or out-of-distribution images in a machine learning system (1) comprising a pre-training network with a first encoder, and an anomaly detection network with a second encoder. The system is fir ...

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 ...

In this paper we will present a new coherence estimation technique for SAR interferometry products that adapts the estimation window size and shape during processing. This is of particular interest for sensors with medium spatial resolution, like the ASAR ...

Ultrasound image reconstruction from the echoes received by an ultrasound probe after the transmission of diverging waves is an active area of research because of its capacity to insonify at ultra-high frame rate with large regions of interest using small ...

We present a segmentation method for fetal brain tissues of T2w MR images, based on the well known Expectation Maximization Markov Random Field (EM- MRF) scheme. Our main contribution is an intensity model composed of 7 Gaussian distribution designed to de ...

Jean-Philippe Thiran

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Graph theory to analyse developmental plasticity in connectivity of preterm children

GLOBAL AND LOCAL CONNECTIVITY CHANGES IN SCHIZOPHRENIA INVESTIGATED BY DIFFUSION CONNECTOME

Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion

An interactive toolbox for atlas-based segmentation and coding of volumetric images

Pulse-Stream Models In Time-Of-Flight Imaging

Letter: Deep Brain Stimulation of the Pedunculopontine Nucleus Area in Parkinson Disease: Magnetic Resonance Imaging- Based Anatomoclinical Correlations and Optimal Target

Audio-Visual Speech Recognition with a Hybrid SVM-HMM System

Predicting Resting-State Functional Connectivity from Structural Connectivity

Hand preference and sex shape the architecture of language networks

Translating mprage to mp2rage improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Sparsity Averaging for Compressive Imaging

Annotation-efficient image anomaly detection

Structured sparsity through reweighting and application to diffusion MRI

Using Anisotropic Diffusion for Coherence Estimation

Hierarchical sparse representation for dictionary-based classification of hyperspectral images

Extension of ultrasound Fourier slice Imaging theory to sectorial acquisition

First evidence on the utility of T-1 mapping of the optic nerve to investigate differences between MS and NMOSD

Brain tissue segmentation of fetal MR images

Kernel sparse subspace clustering

Automated detection of cortical lesions with single and multi-contrast 7T MRI