Elda Fischi Gomez

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Publications associées (23)

Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Elda Fischi Gomez, Gian Franco Piredda, Jonathan Rafael Patino Lopez, Marco Pizzolato

Multiple sclerosis (MS) is an inflammatory and neurodegenerative disease characterized by diffuse and focal areas of tissue loss. Conventional MRI techniques such as T1-weighted and T2-weighted scans are generally used in the diagnosis and prognosis of the ...

IEEE2021

Ultrahigh field in vivo characterization of microstructural abnormalities in the orbitofrontal cortex and amygdala in autism

Elda Fischi Gomez, Cristina Granziera, Nouchine Hadjikhani, Guillaume Bonnier

There are currently no biomarkers for autism spectrum disorder (ASD). This neurodevelopmental condition has previously been associated with histopathological findings, including increased neuronal packing density in the amygdala, abnormal laminar cytoarchi ...

2021

Model-informed machine learning for multi-component T2 relaxometry

Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Elda Fischi Gomez, Gian Franco Piredda, Thomas Yu, Cristina Granziera, Muhamed Barakovic

Recovering the distribution from multi-echo magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-structure, such as the myelin water fraction (MWF). In this work, we propose to comb ...

2020

Personalized pathology maps to quantify diffuse and focal brain damage

Tobias Kober, Tom Hilbert, Elda Fischi Gomez, Cristina Granziera, Alexis Roche, Guillaume Bonnier

2019

Brain network characterization of high-risk preterm-born school-age children

Jean-Philippe Thiran, Alessandra Griffa, Elda Fischi Gomez, François Lazeyras

Higher risk for long-term cognitive and behavioral impairments is one of the hallmarks of extreme prematurity (EP) and pregnancy-associated fetal adverse conditions such as intrauterine growth restriction (IUGR). While neurodevelopmental delay and abnormal ...

Elsevier Sci Ltd2016

Structural Brain Network Reorganization and Social Cognition Related to Adverse Perinatal Condition from Infancy to Early Adolescence

Jean-Philippe Thiran, Elda Fischi Gomez

Adverse conditions during fetal life have been associated to both structural and functional changes in neurodevelopment from the neonatal period to adolescence. In this study, connectomics was used to assess the evolution of brain networks from infancy to ...

Frontiers Research Foundation2016

Gender-specific attention system subnetwork vulnerability in prematurely born children

Jean-Philippe Thiran, Elda Fischi Gomez

Children born prematurely are at high risk for long-term abnormal development, including deficits in attentional abilities that persist throughout adolescence. The severity of these cognitive difficulties varies significantly among preterm-born children, w ...

2016

Connectomics across development : towards mapping brain structure from birth to childhood

Elda Fischi Gomez

The brain is probably the most complex system of the human body, composed of numerous neural units interconnected at dierent scales. This highly structured architecture provides the ability to communicate, synthesize information and perform the analytical ...

EPFL2015

Structural Brain Connectivity in School-Age Preterm Infants Provides Evidence for Impaired Networks Relevant for Higher Order Cognitive Skills and Social Cognition

Jean-Philippe Thiran, Elda Fischi Gomez, Patric Hagmann, Djalel Eddine Meskaldji, François Lazeyras

Extreme prematurity and pregnancy conditions leading to intrauterine growth restriction (IUGR) affect thousands of newborns every year and increase their risk for poor higher order cognitive and social skills at school age. However, little is known about t ...

Oxford University Press2015

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge

Elda Fischi Gomez, Laura Ioana Gui

A number of algorithms for brain segmentation in preterm born infants have been published, but a reliable comparison of their performance is lacking. The NeoBrainS12 study (http://neobrains12.isi.uu.nl), providing three different image sets of preterm born ...

Elsevier Science Bv2015

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