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Browsing by Author "Piella Fenoy, Gemma"

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3D fetal face reconstruction from ultrasound imaging

Alomar Adrover, Antònia; Morales, Araceli; Vellvé, Kilian; Porras Pérez, Antonio Reyes; Crispi Brillas, Fàtima; Linguraru, Marius; Piella Fenoy, Gemma; Sukno, Federico Mateo (SciTePress. Science and Technology Publications, 2021)

The fetal face contains essential information in the evaluation of congenital malformations and the fetal brain function, as its development is driven by genetic factors at early stages of embryogenesis. Three-dimensional ...
A Riemannian approach to predicting brain function from the structural connectome

Benkarim, Oualid; Paquola, Casey; Park, Bo-yong; Royer, Jessica; Rodríguez-Cruces, Raúl; Wael, Reinder Vos de; Misic, Bratislav; Piella Fenoy, Gemma; Bernhardt, Boris C. (Elsevier, 2022)

Ongoing brain function is largely determined by the underlying wiring of the brain, but the specific rules governing this relationship remain unknown. Emerging literature has suggested that functional interactions between ...
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction

Nogueira, Mariana; Craene, Mathieu de; Sanchez Martinez, Sergio; Chowdhury, Devyani; Bijnens, Bart; Piella Fenoy, Gemma (Elsevier, 2020)

Alternative stress echocardiography protocols such as handgrip exercise are potentially more favorable towards large-scale screening scenarios than those currently adopted in clinical practice. However, these are still ...
Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation

Mangado López, Nerea; Piella Fenoy, Gemma; Noailly, Jérôme; Pons-Prats, Jordi; González Ballester, Miguel Ángel, 1973- (Frontiers, 2016)

Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in ...
BabyNet: reconstructing 3D faces of babies from uncalibrated photographs

Morales, Araceli; Alomar Adrover, Antònia; Porras Pérez, Antonio Reyes; Linguraru, Marius George; Piella Fenoy, Gemma; Sukno, Federico Mateo (Elsevier, 2023)

We present a 3D face reconstruction system that aims at recovering the 3D facial geometry of babies from uncalibrated photographs, BabyNet. Since the 3D facial geometry of babies differs substantially from that of adults, ...
Characterization of myocardial deformation in patients with different etiologies of left ventricular hypertrophy by using strain distribution from Magnetic Resonance Imaging

Piella Fenoy, Gemma; Craene, Mathieu de; Bijnens, Bart; Tobón Gómez, Catalina, 1981-; Huguet, Marina; Avegliano, Gustavo P.; Frangi Caregnato, Alejandro (Elsevier, 2010)

Introducción y objetivos. Se ha señalado que, en la miocardiopatía hipertrófica (MCH), la desorganización de las fibras regionales da lugar a segmentos en los que la deformación es nula o está gravemente reducida, y que ...
Characterization of myocardial motion patterns by unsupervised multiple kernel learning

Sánchez Martínez, Sergio; Duchateau, Nicolas; Erdei, Tamas; Fraser, Alan G.; Bijnens, Bart; Piella Fenoy, Gemma (Elsevier, 2017)

We propose an independent objective method to characterize different patterns of functional responses to stress in the heart failure with preserved ejection fraction (HFPEF) syndrome by combining multiple temporally-aligned ...
Characterizing patterns of response during mild stress-testing in continuous echocardiography recordings using a multiview dimensionality reduction technique

Nogueira, Mariana; Piella Fenoy, Gemma; Sanchez Martinez, Sergio; Langet, Hélène; Saloux, Eric (Springer, 2017)

In this paper, we capture patterns of response to cardiac stress-testing using a multiview dimensionality reduction technique that allows the compact representation of patient response to stress, regarding multiple features ...
Cochlear implantation modeling and functional evaluation considering uncertainty and parameter variability

Mangado López, Nerea (Universitat Pompeu Fabra, 2018-07-06)

Recent innovations in computational modeling have led to important advances towards the development of predictive tools to simulate and optimize surgery outcomes. This thesis is focused on cochlear implantation surgery, ...
Computational evaluation of Cochlear implant surgery outcomes accounting for uncertainty and parameter variability

Mangado López, Nerea; Pons-Prats, Jordi; Coma, Martí; Mistrik, Pavel; Piella Fenoy, Gemma; Ceresa, Mario; González Ballester, Miguel Ángel, 1973- (Frontiers, 2018)

Cochlear implantation (CI) is a complex surgical procedure that restores hearing in patients with severe deafness. The successful outcome of the implanted device relies on a group of factors, some of them unpredictable or ...
Computational image analysis methods for the study of perinatal brain development

Urru, Andrea (Universitat Pompeu Fabra, 2022-09-22)

Perinatal medicine has drawn increasing attention by the neuroscientific research community, as an early detection of most pathologies leads to more effective therapies and treatments. Monitoring fetal and neonatal brain ...
Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly

Benkarim, Oualid M.; Hahner, Nadine; Piella Fenoy, Gemma; Gratacós Solsona, Eduard; González Ballester, Miguel Ángel, 1973-; Eixarch, Elisenda; Sanromà, Gerard (Elsevier, 2018)

Neuroimaging of brain diseases plays a crucial role in understanding brain abnormalities and early diagnosis. Of great importance is the study of brain abnormalities in utero and the assessment of deviations in case of ...
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty

Jiménez Sánchez, Amelia; Mateus, Diana; Kirchhoff, Sonja; Kirchhoff, Chlodwig; Biberthaler, Peter; Navab, Nassir; González Ballester, Miguel Ángel, 1973-; Piella Fenoy, Gemma (Elsevier, 2022)

An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients’ clinical outcome. We rely on the commonly used AO system, which describes a hierarchical knowledge ...
El curso de introducción a la universidad como estrategia organizativa para acercar al estudiantado de nueva incorporación a la Escuela Superior Politécnica.

Moreno, Verónica; Frangi Caregnato, Alejandro; Piella Fenoy, Gemma; Infante, Jorge; Bellalta, Boris (2009-07-03)

En esta comunicación se presenta el proceso completo de diseño del Curso de Introducción a la Universidad (CIU) que se imparte en la Escuela Superior Politécnica de la Universidad Pompeu Fabra para los estudios de Ingeniería ...
Data-driven methods to characterize heterogeneity in Alzheimer’s disease using cross-sectional and longitudinal data

Martí Juan, Gerard (Universitat Pompeu Fabra, 2021-04-01)

Alzheimer's disease (AD), the most common form of dementia, is an incurable neurodegenerative disease that affects millions of elderly people worldwide. Detecting the disease in its early stages is the key for a more ...
Detection of lesions in the optic nerve with magnetic resonance imaging using a 3D convolutional neural network

Martí Juan, Gerard; Frías Nestares, Marcos; Garcia Vidal, Aran; Vidal Jordana, Angela; Alberich, Manel; Calderon, Willem; Piella Fenoy, Gemma; Camara, Oscar; Montalbán Gairín, Xavier; Sastre-Garriga, Jaume; Rovira, Àlex; Pareto, Deborah (Elsevier, 2022)

Background: Optic neuritis (ON) is one of the first manifestations of multiple sclerosis, a disabling disease with rising prevalence. Detecting optic nerve lesions could be a relevant diagnostic marker in patients with ...
Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans

Rafael-Palou, Xavier (Universitat Pompeu Fabra, 2021-12-16)

Nowadays, lung cancer assessment is a complex and tedious task mainly per- formed by radiological visual inspection of suspicious pulmonary nodules, using computed tomography (CT) scan images taken to patients over ...
Diffusion maps for multimodal registration

Piella Fenoy, Gemma (MDPI, 2014)

Multimodal image registration is a difficult task, due to the significant intensity variations between the images. A common approach is to use sophisticated similarity measures, such as mutual information, that are robust ...
Early prediction of Alzheimer's disease with non-local patch-based longitudinal descriptors

Sanromà, Gerard; Andrea, Víctor; Benkarim, Oualid M.; Manjón, José V.; Coupé, Pierrick; Camara, Oscar; Piella Fenoy, Gemma; González Ballester, Miguel Ángel, 1973- (Springer, 2017)

Alzheimer’s disease (AD) is characterized by a progressive decline in the cognitive functions accompanied by an atrophic process which can already be observed in the early stages using magnetic resonance images (MRI). ...
Effects of Mediterranean diet or mindfulness-based stress reduction on fetal and neonatal brain development: a secondary analysis of a randomized clinical trial

Nakaki, Ayako; Urru, Andrea; Piella Fenoy, Gemma; Comte, Valentin; Pozo Mendoza, Óscar J., 1975-; Gómez-Gómez, Àlex; González Ballester, Miguel Ángel, 1973-; Gratacós Solsona, Eduard (Elsevier, 2023)

Background: Maternal suboptimal nutrition and high stress levels are associated with adverse fetal and infant neurodevelopment. Objective: This study aimed to investigate if structured lifestyle interventions involving a ...

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