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Leila Cammoun

Cette personne n’est plus à l’EPFL

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Publications associées (40)

Diffusion MR Image Segmentation: Towards Global Brain Connectivity Analysis

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun

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 ...

Societa Editrice Esculapio-Progetto Leonardo, Via Umberto Terracini 30, Bologna, 40131, Italy2009

Modeling the Impact of Lesions in the Human Brain

Patric Hagmann, Leila Cammoun, Olaf Sporns

2009

Mapping the human connectome at multiple scales with diffusion spectrum MRI

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

2009

Predicting Resting-State Functional Connectivity from Structural Connectivity

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

2009

Connectome alterations in schizophrenia

Pascal Hagmann, Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns, Kim Do

2009

Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data (vol 13, pg 19, 2009)

Jean-Philippe Thiran, Leila Cammoun

2009

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

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Maciej Kurant, Leila Cammoun

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. ...

2008

Mapping the Structural Core of Human Cerebral Cortex

Pascal Hagmann, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

Structurally segregated and functionally specialized regions of the human cerebral cortex are interconnected by a dense network of cortico-cortical axonal pathways. Using diffusion spectrum imaging we noninvasively map these pathways within and across cort ...

2008

The Structural Core of Human Cerebral Cortex and its relation to the brain s default network

Xavier Gigandet, Reto Meuli, Leila Cammoun, Olaf Sporns

Human cerebral cortex contains an uncertain number of structurally segregated regions interconnected by a dense network of axonal pathways. Using DSI, we map these pathways in individual human subjects. An analysis of the resulting large-scale structural b ...

2008

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

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun

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 ...

2008

Thalamic nuclei clustering on High Angular Resolution Diffusion Images

Pascal Hagmann, Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Azzurra Grassi, Leila Cammoun

Thalamic nuclei can be distinguished by their characteristic fiber orientations, which influence the diffusion. Fiber orientations are relatively aligned within a nucleus due to the fact that the cerebrocortical striations within a nucleus all target the s ...

2008

Predicting Resting-State Functional Connectivity from Structural Connectivity

Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

2008

Mapping the Structural Core of Human Cerebral Cortex

Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun, Olaf Sporns

2008

Deriving scalar maps from Diffusion Spectrum MRI

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Van Jay Wedeen, Leila Cammoun

Whole brain DSI acquisitions are now clinically feasible. It is therefore necessary to have scalar maps available in order to easily visualize summary statistics of the full 3D diffusion pdf available in every voxel. We show how to derive from DSI not only ...

IEEE2007

A method to study alterations in networks of structural connectivity

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Leila Cammoun

IEEE2007

Hand preference and sex shape the architecture of language networks

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Leila Cammoun

In right-handed subjects, language processing relies predominantly on left hemisphere networks, more so in men than in women, and in right- versus left-handers. Using DT-MRI tractography, we have shown that right-handed men are massively interconnected bet ...

Wiley2006

Correction to "Comparison and Validation of Tissue Modelization and Statistical Classification Methods in T1-Weighted MR Brain Images"

Torsten Butz, Jean-Philippe Thiran, Meritxell Bach Cuadra, Olivier Cuisenaire, Leila Cammoun

Institute of Electrical and Electronics Engineers2006

Comparison and Validation of Tissue Modelization and Statistical Classification Methods in T1-weighted MR Brain Images

Torsten Butz, Jean-Philippe Thiran, Meritxell Bach Cuadra, Olivier Cuisenaire, Leila Cammoun

This paper presents a validation study on statistical non-supervised brain tissue classification techniques in MR images. Several image models assuming different hypotheses regarding the intensity distribution model, the spatial model and the number of cla ...

Institute of Electrical and Electronics Engineers2005

Collaborative TeleNeurology for Remote Diagnosis

Jean-Philippe Thiran, Leila Cammoun

This paper presents the TENECI (Collaborative tele- neurology) project which allows practitioners to use telecommunication technologies to provide medical information and services for neurological diseases. Specificities of remote neurology are described a ...

2005

Minimiseurs Globaux du Modele des Contours Actifs

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson, Leila Cammoun

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 ...

2005

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