M
Miguel Ángel González Ballester
Researcher at Pompeu Fabra University
Publications - 218
Citations - 4320
Miguel Ángel González Ballester is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 25, co-authored 194 publications receiving 2913 citations. Previous affiliations of Miguel Ángel González Ballester include T-Systems & Catalan Institution for Research and Advanced Studies.
Papers
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Book ChapterDOI
A Hierarchical Multi-Task Approach to Gastrointestinal Image Analysis
TL;DR: In this article, the authors proposed an approach based on a Convolutional Neural Network minimizing a hierarchical error function that takes into account not only the finding category, but also its location within the GI tract (lower/upper tract), and the type of finding (pathological finding/therapeutic intervention/anatomical landmark/mucosal views' quality).
Posted ContentDOI
The PNt-Methodology: a top-down network modelling approach to estimate dose- and time-dependent cell responses to complex multifactorial environments
TL;DR: The PNt-Methodology provides a one-of-a-kind network modeling approach to approximate complex multicellular systems and allows for the first time to obtain qualitatively validated cell responses for daily human moving activities and exposure to microgravity.
Book ChapterDOI
An Integrated Approach for Reconstructing a Surface Model of the Proximal Femur from Sparse Input Data and a Multi-Level Point Distribution Model
TL;DR: An integrated approach using a multi-level point distribution model (ML-PDM) to reconstruct a patient-specific surface model of the proximal femur from intra-operatively available sparse data, which may consist of sparse point data or a limited number of calibrated fluoroscopic images.
Book ChapterDOI
Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model.
Karen López-Linares,Maialen Stephens,Inmaculada García,Iván Macía,Miguel Ángel González Ballester,Raúl San José Estépar +5 more
TL;DR: Results show that the performance of a CNN trained with synthetic data to segment AAAs from new scans is comparable to the one of a network trained with real images, which suggests that the proposed methodology may be applied to generate images and train a CNN to segment other types of aneurysms, reducing the burden of obtaining large annotated image databases.
Journal ArticleDOI
Right Ventricular Global and Regional Remodeling in American-Style Football Athletes: A Longitudinal 3D Echocardiographic Study
Amir Hodzic,Gabriel Bernardino,Damien Legallois,Patrick Gendron,Hélène Langet,Mathieu De Craene,Miguel Ángel González Ballester,Paul Milliez,Hervé Normand,Bart Bijnens,Eric Saloux,Francois Tournoux +11 more
TL;DR: ASF inter-seasonal training was associated with a proportionate biventricular enlargement, regardless of the field position, and regional RV analysis allowed us to quantify the amount of exercise-induced remodeling that was larger in the apical and inlet regions.