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Leila Cammoun

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Related publications (39)

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Deriving scalar maps from Diffusion Spectrum MRI

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

Thalamic nuclei clustering on High Angular Resolution Diffusion Images

Jean-Philippe Thiran, Reto Meuli, Patric Hagmann, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Pascal Hagmann

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

Entrainment of Voluntary Movement to Undetected Auditory Regularities

Olaf Blanke, Nathan Quentin Faivre, Leila Cammoun, Aaron Schurger

In physics “entrainment” refers to the synchronization of two coupled oscillators with similar fundamental frequencies. In behavioral science, entrainment refers to the tendency of humans to synchronize their movements with rhythmic stimuli. Here, we asked ...

Springer Nature2017

Diffusion MR Image Segmentation: Towards Global Brain Connectivity Analysis

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

Collaborative TeleNeurology for Remote Diagnosis

Jean-Philippe Thiran, Leila Cammoun, Leila Faiza Ben Hamida 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

Hand preference and sex shape the architecture of language networks

Jean-Philippe Thiran, Reto Meuli, Patric Hagmann, Leila Cammoun, Leila Faiza Ben Hamida 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

Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors

David Atienza Alonso, Leila Cammoun, Giovanni Ansaloni, Amir Aminifar

Event detection and classification algorithms are resilient towards aggressive resource-aware optimisations. In this paper, we leverage this characteristic in the context of smart health monitoring systems. In more detail, we study the attainable benefits ...

IEEE2019

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

David Atienza Alonso, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Fabio Isidoro Tiberio Dell'Agnola

The use of drones is recently gaining particular interest in the field of search and rescue. However, particular skills are still required to actively operate in a mission without crashing the drone. This limits their effective and efficient employment in ...

2018

Minimiseurs Globaux du Modele des Contours Actifs

Jean-Philippe Thiran, Pierre Vandergheynst, Leila Cammoun, Xavier Bresson, Leila Faiza Ben Hamida 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

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

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

Institute of Electrical and Electronics Engineers2006

Leila Cammoun

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Deriving scalar maps from Diffusion Spectrum MRI

Thalamic nuclei clustering on High Angular Resolution Diffusion Images

Entrainment of Voluntary Movement to Undetected Auditory Regularities

Diffusion MR Image Segmentation: Towards Global Brain Connectivity Analysis

Collaborative TeleNeurology for Remote Diagnosis

Hand preference and sex shape the architecture of language networks

Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

Minimiseurs Globaux du Modele des Contours Actifs

Mapping the human connectome at multiple scales with diffusion spectrum MRI

Connectome alterations in schizophrenia

Predicting Resting-State Functional Connectivity from Structural Connectivity

Modeling the Impact of Lesions in the Human Brain

A method to study alterations in networks of structural connectivity

Predicting Resting-State Functional Connectivity from Structural Connectivity

Reliable Power and Time-Constraints-Aware Predictive Management of Heterogeneous Exascale Systems

GLOBAL AND LOCAL CONNECTIVITY CHANGES IN SCHIZOPHRENIA INVESTIGATED BY DIFFUSION CONNECTOME

Mapping the Structural Core of Human Cerebral Cortex

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