Publications de Leila Cammoun | EPFL Graph Search

Interpreting deep learning models for epileptic seizure detection on EEG signals

David Atienza Alonso, Leila Cammoun, Valentin Alexandre Guy Gabeff, Marina Zapater Sancho, Tomas Teijeiro Campo

While Deep Learning (DL) is often considered the state-of-the art for Artificial Intelligence-based medical decision support, it remains sparsely implemented in clinical practice and poorly trusted by clinicians due to insufficient interpretability of neur ...

2021

Noninvasive detection of focal seizures in ambulatory patients

David Atienza Alonso, Leila Cammoun

Reliably detecting focal seizures without secondary generalization during daily life activities, chronically, using convenient portable or wearable devices, would offer patients with active epilepsy a number of potential benefits, such as providing more re ...

2020

A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection

David Atienza Alonso, Amir Aminifar, Leila Cammoun, Farnaz Forooghifar

Epilepsy is one of the most prevalent paroxystic neurological disorders that can dramatically degrade the quality of life and may even lead to death. Therefore, real-time epilepsy monitoring and seizure detection has become important over the past decades. ...

2022

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

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

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

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

David Atienza Alonso, Leila Cammoun, Marina Zapater Sancho, Simone Libutti

ASSOC COMPUTING MACHINERY2018

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

David Atienza Alonso, Leila 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

Entrainment of Voluntary Movement to Undetected Auditory Regularities

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

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

Intrahemispheric cortico-cortical connections of the human auditory cortex

Jean-Philippe Thiran, Patric Hagmann, Stephanie Clarke, Reto Meuli, Alessandra Griffa, Leila Cammoun

The human auditory cortex comprises the supratemporal plane and large parts of the temporal and parietal convexities. We have investigated the relevant intrahemispheric cortico-cortical connections using in vivo DSI tractography combined with landmark-base ...

Springer Heidelberg2015

Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations

Jean-Philippe Thiran, Marie Schaer, Leila Cammoun

Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dys ...

Frontiers Research Foundation2013

Reduced Fronto-Temporal and Limbic Connectivity in the 22q11.2 Deletion Syndrome: Vulnerability Markers for Developing Schizophrenia?

Jean-Philippe Thiran, Marie Schaer, Leila Cammoun

The 22q11.2 deletion syndrome (22q11DS) is a widely recognized genetic model allowing the study of neuroanatomicalvbiomarkers that underlie the risk for developing schizophrenia. Recent advances in magnetic resonance image analysesvenable the examination o ...

Public Library of Science2013

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

Pierre Marquet, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Reto Meuli, Philipp Baumann, Leila Cammoun

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 ...

Elsevier2012

Mapping the human connectome at multiple scales with diffusion spectrum MRI

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

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 ...

Elsevier2012

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

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Alia Lemkaddem, Alessandra Griffa, Alessandro Daducci, Leila Cammoun

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- ...

Public Library of Science2012

Adaptive Strategy for the Statistical Analysis of Connectomes

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Reto Meuli, Leila Cammoun

We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

Diffusion Spectrum Imaging after stroke shows structural changes in the contra-lateral motor network correlating with functional recovery

Jean-Philippe Thiran, Djalel Eddine Meskaldji, Xavier Gigandet, Reto Meuli, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Leila Cammoun

There is growing interest in understanding the role of the non-injured contra-lateral hemisphere in stroke recovery. In the experimental field, histological evidence has been reported that structural changes occur in the contra-lateral connectivity and cir ...

2011

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

Jean-Philippe Thiran, Patric Hagmann, Reto Meuli, Van Jay Wedeen, Leila Cammoun, Olaf Sporns

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 ...

National Academy of Sciences2010

On the reproducibility and anatomical correspondence of DSI tractography

Jean-Philippe Thiran, Xavier Gigandet, Patric Hagmann, Reto Meuli, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Leila Cammoun

Diffusion spectrum imaging (DSI) is increasingly explored in clinical research. The quantitative value of the DSI technique, however, has still to be established. In this context, a better understanding of the reproducibility and the anatomical corresponde ...

2010

GLOBAL AND LOCAL CONNECTIVITY CHANGES IN SCHIZOPHRENIA INVESTIGATED BY DIFFUSION CONNECTOME

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

Elsevier2010

Sequential Anisotropic Multichannel Wiener Filtering with Rician Bias Correction Applied to 3D Regularization of DWI Data

Jean-Philippe Thiran, Leila Cammoun

It has been shown that the tensor calculation is very sensitive to the presence of noise in the acquired images, yielding to very low-quality Diffusion Tensor Images (DTI) data. Recent investigations have shown that the noise present in the Diffusion Weigh ...

2009

Predicting Human Resting-State Functional Connectivity from structural Connectivity

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

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 ...

2009