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

Publications associées (9)

Probabilistic tractography

Tractography techniques map white matter bundles in the brain using diffusion magnetic resonance imaging (dMRI) data. These techniques use models to calculate paths where water molecule diffusion is least hindered, assuming these paths approximate the unde ...

Elsevier2025

A graphical pipeline platform for MRS data processing and analysis: MRSpecLAB

Matthias Hugues Jörg Kockisch, Lijing Xin, Mark Stephan Widmaier, Ying Xiao, Zhiwei Huang, Antonia Kaiser, André Döring, Robin Carlet, Xinyu Liu

Magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging (MRSI), are non-invasive techniques used to quantify biochemical compounds in tissue, such as choline, creatine, glutamate, glutamine, γ-aminobutyric acid, N-acetylaspartate ...

2025

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

Mapping the Human Brain with Computational Anatomy

Stéphane Joost

For almost five decades of its existence, imaging neuroscience—the research branch that uses noninvasive brain imaging to provide inferences about brain structure and function, has focused almost exclusively on studies pertaining to well-controlled laborat ...

Springer Nature2024

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

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

p Robotically-induced hallucination triggers subtle changes in brain network transitions

Dimitri Nestor Alice Van De Ville, Olaf Blanke, Giulio Rognini, Thomas William Arthur Bolton, Nathan Quentin Faivre, Eva Blondiaux, Herberto Dhanis Pedro De Barros Camacho

The perception that someone is nearby, although nobody can be seen or heard, is called presence hallucination (PH). Being a frequent hallucination in patients with Parkinson's disease, it has been argued to be indicative of a more severe and rapidly advanc ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

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