Jean-Philippe Thiran

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Le modele des contours actifs [6,2,7] est un des modeles variationnels de segmentation les plus connus en traitement d'images. Cependant, ce modele est limite par l'existence de minima locaux qui rend la condition initiale critique pour obtenir des resulta ...

We consider images probed through incomplete and noisy Fourier coverages, both in the context of radio interferometry (RI) and of magnetic resonance imaging (MRI). We show that the quality of signal reconstruction can be signiﬁcantly enhanced by the introd ...

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and imple ...

A new generation of optical devices that generate images covering a larger part of the field of view than conventional cameras, namely catadioptric cameras, is slowly emerging. These omnidirectional images will most probably deeply impact computer vision i ...

In this paper we describe the acquisition and content of a new large, realistic and challenging multi-modal database intended for training and testing multi-modal verification systems. The BANCA database was captured in four European languages in two modalities (face and voice). For recording, both high and low quality microphones and cameras were used. The subjects were recorded in three different scenarios, controlled, degraded and adverse over a period of three months. In total 208 people were captured,

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 ...

Segmenting histology images into diagnostically relevant regions is imperative to support timely and reliable decisions by pathologists. To this end, computer-aided techniques have been proposed to delineate relevant regions in scanned histology slides. Ho ...

In this paper we present a generalization of geometric moments in scale-spaces derived from the general heat diffusion equation, with a particular interest for the

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the ...

We propose a new method for performing active contour segmentation based on the statistical prior knowledge of the object to detect. From a binary training set of objects, a statistical map describes the possible shapes of the object by computing the proba ...

We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality from few measurements. The image reconstruction is done by iterating the two following steps: 1) estimation of normal vectors of the i ...

In multiple testing, a variety of control metrics have been introduced such as the family-wise error rate (FWER), the False Discovery Rate (FDR), False Exceedence Rate (FER), etc. We found a way to embed these metrics into a continuous family of control me ...

We present a voxel-wise Bayesian multi-compartment T2 relaxometry fitting method based on Hamiltonian Markov Chain Monte Carlo (HMCMC) sampling. The T 2 spectrum is modeled as a mixture of truncated Gaussian components, which involves the estimation of par ...

Jean-Philippe Thiran

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Direct detection of small motion from dynamic tomography images

Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection

MR connectomics identifies a distributed subnetwork lesioned in schizophrenia

Minimiseurs Globaux du Modele des Contours Actifs

Spread spectrum for interferometric and magnetic resonance imaging

The Connectome Viewer Toolkit: an open source framework to manage, analyze, and visualize connectomes

Scale-space analysis and active contours for omnidirectional images

The BANCA Database and Evaluation Protocol

Thalamotomy for tremor normalizes aberrant pre-therapeutic visual cortex functional connectivity

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

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs

Geometric Moments in Scale-Spaces

Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut

A realistic Computed Tomography simulator for small motion analysis of cerebral aneurysms

Shape prior based on statistical map for active contour segmentation

Enhanced Compressed Sensing Recovery with Level Set Normals

A comprehensive error rate for multiple testing

Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation

Time and Covariance Threshold Triggered Optimal Uncooperative Rendezvous Using Angles-Only Navigation (vol 2017, 5451908, 2017)

Deep learning-based detection of cortical lesions in multiple sclerosis patients with FLAIR, DIR, and MP2RAGE MRI sequences