Jean-Philippe Thiran

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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 ...

The autocorrelations have been previously used as features for

Ultrasonography uses multiple piezo-electric element probes to image tissues. Current time-domain beamforming techniques require the signal at each transducer-element to be sampled at a rate higher than the Nyquist criterion, resulting in an extensive amou ...

The active contour/snake model

Jean-Philippe Thiran

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SALAD: Self-Supervised Aggregation Learning for Anomaly Detection on X-Rays

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

Pattern Recognition using Higer-Order Local Autocorrelation Coefficients

Analysis of Head Mounted Wireless Camera Videos for Early Diagnosis of Autism

Définition et sélection d’attributs visuels pour la reconnaissance audio-visuelle de la parole

Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance

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

A compressed-sensing approach for ultrasound imaging

Prospective motion correction with FID-triggered image navigators

A level set method for segmentation of the thalamus and its nuclei in DT-MRI

Global Minimizers of The Active Contour/Snake Model

CEC Designer: Domain Specific Modelling for the Industrial Automation Based on the IEC 61499 Standard

Connectome alterations in schizophrenia

Diffusion spectrum imaging connectomics: a biomarker for staging in psychotic disorders

Fast Face Detection Using AdaBoost

Application oriented wavelet-based coding of volumetric medical data

Scale Invariant Feature Transform on the Sphere: Theory and Applications

Mixture of SVMs for Face Class Modeling

Local vs global tractography to study brain connectivity

Bayesian Integration of a discrete Choice Pedestrian Behavioral Model and Image Correlation Techniques for Automatic Multi Object Tracking