Publications related to Probabilistic tractography

Related publications (6)

A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain

Andrés Le Boeuf Fló, Meritxell Bach Cuadra

Magnetic resonance imaging (MRI) is a powerful modality for investigating abnormal developmental patterns in utero. However, since it is not the first-line diagnostic tool in this sensitive population, data remain scarce and heterogeneous across scanners a ...

2025

Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution

David Pascucci, Joan Rue Queralt

Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and t ...

Wiley2024

Direct imaging of neuronal activity: a multivariate perspective on DIANA data in human subjects

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Functional magnetic resonance imaging (fMRI) relies upon the blood-oxygenation-level-dependent (BOLD) signal as a proxy for neuronal activity. Whole-brain coverage and millimetric resolution have propelled this modality as a workhorse for human neuroscienc ...

European Signal Processing Conference, EUSIPCO2024

Multimodal Visualization of Bioorthogonal Systems by Off-On Luminescence and Enhanced Magnetic Resonance Imaging

Jean-Claude Bünzli

Bioorthogonal chemistry is a rising field investigating chemical reactions in physiological environments with high specificity. However, only very few examples concern the real-time monitoring of bioorthogonal reactions by luminescence or magnetic relaxivi ...

WILEY-V C H VERLAG GMBH2023

Reducing acquisition time for microstructure imaging with spatially-regularized global optimization

Jean-Philippe Thiran, Alessandro Daducci, Yves Wiaux, Erick Jorge Canales Rodriguez, David Paul Roger Romascano, Anna Auria Rasclosa

Microstructure imaging with diffusion MRI (dMRI) is usually based on fitting models to the data using voxelwise nonlinear procedures that (i) are time consuming and (ii) need long acquisitions. Recently, we introduced the AMICO framework to accelerate the ...

2016

Brain tissue segmentation on diffusion weighted magnetic resonance data

Jean-Philippe Thiran, Meritxell Bach Cuadra, Alessandro Daducci, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Oscar Esteban-Sanz

2012