Elda Fischi Gomez

EPFL STI IEL LTS5
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne
Web site: Web site: https://lts5www.epfl.ch/
Current work
My research centers on the development and application of novel MRI techniques that optimize the inter-play between software algorithm, MR physic/hardware and the underlying neuroscience. I aim at developing techniques to address important brain function issues. As such my research focuses in applying novel improvements in MR engineering to clinical settings.
Biography
Elda Fischi-Gomez holds a BsC and a MsC degree in Telecommunication Engineering from the Polytechnic University of Catalonia (UPC, Barcelona, Spain) and a PhD in Electrical Engineering from the Swiss Federal Institute of Technology (EPFL, Lausanne, Switzerland, 2015). Her main research interests center on the development and application of novel MRI techniques to clinics by optimising the inter-play between multi-modal MR analysis, MR physic/hardware and the underlying clinical neuroscience. She has worked as a post-doctoral fellow at the A.A. Martinos Center of Biomedical Imaging of the Massachusetts General Hospital, Harvard Medical School (Boston, MA, USA) with a Swiss National Foundation Fellowship. Since 2019 she joined the Signal Processing Laboratory 5 of the Swiss Federal Institute of Technology Lausanne (EPFL) with a SPN-PHRT individual grant from the EPFL-ETH domain on microstructure imaging for multiple sclerosis.
Publications
Infoscience publications
Journal Articles
Personalized pathology maps to quantify diffuse and focal brain damage
NeuroImage: Clinical. 2019. DOI : 10.1016/j.nicl.2018.11.017.Structural Brain Network Reorganization and Social Cognition Related to Adverse Perinatal Condition from Infancy to Early Adolescence
Frontiers in Neuroscience. 2016-12-08. DOI : 10.3389/fnins.2016.00560.Quantitative and qualitative analysis of transient fetal compartments during prenatal human brain development
Frontiers in Neuroanatomy. 2016-02-24. DOI : 10.3389/fnana.2016.00011.Brain network characterization of high-risk preterm-born school-age children
Neuroimage: Clinical. 2016. DOI : 10.1016/j.nicl.2016.02.001.Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge
Medical Image Analysis. 2015-02. DOI : 10.1016/j.media.2014.11.001.Structural Brain Connectivity in School-Age Preterm Infants Provides Evidence for Impaired Networks Relevant for Higher Order Cognitive Skills and Social Cognition
Cerebral Cortex. 2015. DOI : 10.1093/cercor/bhu073.Comparing connectomes across subjects and populations at different scales
NeuroImage. 2013-04-28. DOI : 10.1016/j.neuroimage.2013.04.084.Multimodality evaluation of the pediatric brain: DTI and its competitors
Pediatric Radiology. 2012-08-29. DOI : 10.1007/s00247-012-2515-y.Conference Proceedings
A Longitudinal Study of Neurite Orientation Dispersion and Density Imaging in Relapsing-Remitting Multiple Sclerosis
2017. 25th Annual Meetinf of the International Society for Magnetic Resonance in Medicine, Honolulu, USA, April 22-27, 2017.Gender-specific attention system subnetwork vulnerability in prematurely born children
2016. 24th Annual Meeting International Society for Magnetic Resonance in Medicine, Singapore,, May 7-13, 2016.Brain Connections Associated With Socio-Cognitive Skills in Preterm and Low Birth Weight School Age Children
2014. Pediatric Academic Societies and Asian Society for Pediatric Research Joint Meeting, Vancouver, BC, Canada, May 3-6, 2014.Longitudinal analysis of brain network reorganization in preterm IUGR children at 1, 6 and 9 years-old
2014. 22nd Annual Meeting International Society for Magnetic Resonance in Medicine, Milano, Italy, May 10-16, 2014.Graph network measures of brain connectivity and its relation with cognitive performance in high-risk children
2014. 22nd Annual Meeting International Society for Magnetic Resonance in Medicine, Milano, Italy, May 10-16, 2014.Regional changes of cortical thickness and cortical surface in children born prematurely and children born with intrauterine growth restriction at school age
2013. 21st Annual Meeting International Society for Magnetic Resonance in Medicine, Salt Lake City, Utah, USA, April 20-26,2013.Towards a connectome mapping pipeline for neonates using high-resolution MP2RAGE and DTI
2013. 21st Annual Meeting International Society for Magnetic Resonance in Medicine, Salt Lake City, Utah, USA, April 20-26,2013.Extreme prematurity and intra uterine growth restriction effects in brain network topology at school age
2013. 21st Annual Meeting International Society for Magnetic Resonance in Medicine, Salt Lake City, Utah, USA, April 20-26,2013.Human brain connectome in children born preterm
2012. 2012 Pediatric Academic Societies' Annual Meeting, Boston, Massachusetts, USA, April 28 - May 1, 2012.Graph theory to analyse developmental plasticity in connectivity of preterm children
2012. 20th International Society for Magnetic Resonance in Medicine (ISMRM) conference, Melbourne, Australia, 05-11 May, 2012.Prematurity and prenatal growth restriction differently affects brain connectivity at age 6 years.
2010. 16th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, June, 6-10, 2010.Other publications
Book Chapters
C. Granziera, E. Fischi-Gómez and J. Pelletier. Recherche de marqueurs d’imagerie par resonance magnetique. In: Sclérose en plaques, Trait de Neurologie (Partie 4. Aspects prognostiques et predictifs de la réponse aux traitements), Edition Doin. Ed.: J Moreau et R. Du Pasquier, 2017.