Publications de Reto Meuli | EPFL Graph Search

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

In the cerebral cortex, the activity levels of neuronal populations are continuously fluctuating. When neuronal activity, as measured using functional MRI (fMRI), is temporally coherent across 2 populations, those populations are said to be functionally co ...

Over the last ten years, Diffusion-weighted Imaging (DWI) has become an important tool to investigate white matter (WM) anomalies in schizophrenia. Despite technological improvement and the exponential use of this technique, discrepancies remain and little ...

Background Long acquisition times and motion sensitivity limit T-2 mapping in the abdomen. Accelerated mapping at 3 T may allow for quantitative assessment of diffuse pancreatic disease in patients during free-breathing. Purpose To test the feasibility of ...

Functional magnetic resonance imaging (fMRI) measures activation-induced signal changes by means of the blood-oxygenation-level-depended (BOLD) contrast. Since signal changes are typically only 1-3%, the method is intrinsically sensitive to all signal inst ...

Understanding the large-scale structural network formed by neurons is a major challenge in system neuroscience. A detailed connectivity map covering the entire brain would therefore be of great value. Based on diffusion MRI, we propose an efficient methodo ...

From toddler to late teenager, the macroscopic pattern of axonal projections in the human brain remains largely unchanged while undergoing dramatic functional modifications that lead to network refinement. These functional modifications are mediated by inc ...

MRI has evolved into an important diagnostic technique in medical imaging. However, reliability of the derived diagnosis can be degraded by artifacts, which challenge both radiologists and automatic computer-aided diagnosis. This work proposes a fully-auto ...

Quality assessment of MRI is of great importance to derive reliable diagnostic information. As automated quantitative image analysis is being increasingly used in routine, automated measures of quality are needed. Based on a single magnitude image, we prop ...

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

The exploration of the human connectome, a term denoting the global structural connectivity of the brain, is accessible to MRI at millimeter and centimeter scales. In this paper, we propose a methodology to map the connectome by constructing normalized who ...

Being a preliminary step for many clinical applications and analyses, accurate skull-stripping is a key challenge in MR brain imaging. One of its major difficulties arises from the contrast similarities at brain/non-brain tissue interfaces, in particular b ...

Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra- ...

Background Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. ...

Object. The authors describe a new method of localizing electrodes on magnetic resonance (MR) images and focus on the positions of both the most efficient contact and the electrode related to the MR imaging target. Methods. Thirty-one patients who had unde ...

Accurate characterization of in utero human brain maturation is critical as it involves complex interconnected structural and functional processes that may influence health later in life. Magnetic resonance imaging is a powerful tool complementary to the u ...

Although high angular resolution diffusion MRI techniques are able to solve multiple intra-voxel fiber orientations, the usual streamline Diffusion Spectrum Imaging (DSI) tractography algorithms present some limitations in their ability to map complex fibe ...

In diffusion MRI, standard approaches for fibertract identification are based on algorithms that generate lines of coherent diffusion, currently known as tractography. A tract is then identified as a set of such lines selected on some criteria. In the pres ...

The global structural connectivity of the brain, the human connectome, is now accessible at millimeter scale with the use of MRI. In this paper, we describe an approach to map the connectome by constructing normalized whole-brain structural connection matr ...

Reto Meuli

Chattez avec Graph Search

Predicting Human Resting-State Functional Connectivity from structural Connectivity

High b-value diffusion-weighted imaging: a sensitive method to reveal white matter differences in schizophrenia

Patient respiratory-triggered quantitative T-2 mapping in the pancreas

Adaptive FID-navigators for respiration monitoring in multi-slice fMRI applications

Mapping Human Whole-Brain Structural Networks with Diffusion MRI

White matter maturation reshapes structural connectivity in the late developing human brain

Automatic quality assessment in structural brain magnetic resonance imaging

Automatic quality assessment in structural brain magnetic resonance imaging

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Diffusion MR Image Segmentation: Towards Global Brain Connectivity Analysis

Who said fat is bad? Skull-stripping benefits from additional fat image

The Connectome Mapper: an open-source processing pipeline to map connectomes with MRI

Estimating the Confidence Level of White Matter Connections Obtained with MRI Tractography

Localization of electrodes in the subthalamic nucleus on magnetic resonance imaging

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction

Fast-Marching Tractography for Connection Matrix (Fast-TraC)

Fibertract segmentation in position orientation space from high angular resolution diffusion MRI

Quantitative Validation of MR Tractography Using the CoCoMac Database

GLOBAL AND LOCAL CONNECTIVITY CHANGES IN SCHIZOPHRENIA INVESTIGATED BY DIFFUSION CONNECTOME

Mapping the human connectome at multiple scales with diffusion spectrum MRI