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.
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Book ChapterDOI
Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning
TL;DR: This work presents a probabilistic label fusion framework that takes into account label confidence at each point, and proposes a novel type of label-dependent appearance features based on atlas labelmaps.
Journal ArticleDOI
An intact fibula may contribute to allow early weight bearing in surgically treated tibial plateau fractures
Ion Carrera,Pablo Eduardo Gelber,Gaetan Chary,Mireia Gomez Masdeu,Miguel Ángel González Ballester,Juan Carlos Monllau,Jérôme Noailly +6 more
TL;DR: This FE model showed that an intact fibula contributes to the mechanical stability of the lateral tibial plateau, and in combination with a locking plate fixation, early weight bearing may be allowed without significant IFM, contributing to an early clinical and functional recovery of the patient.
Proceedings ArticleDOI
The candidate multi-cut for cell segmentation
TL;DR: This paper introduces a model, the Candidate Multi-Cut (CMC), that allows joint selection and clustering of segment candidates from a merge-tree and solves the optimization problem of selecting and clustered of candidates using an integer linear program.
Journal ArticleDOI
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment.
Gabriel Bernardino,Amir Hodzic,Hélène Langet,Damien Legallois,Mathieu De Craene,Miguel Ángel González Ballester,Eric Saloux,Bart Bijnens +7 more
TL;DR: This work developed a technique for regionally assessing the volume of 3 relevant RV volumetric regions: apical, inlet and outflow and proposes a novel synthetic mesh generation algorithm that deforms a template mesh imposing a user-defined strain to a templateMesh.
BookDOI
Clinical Image-Based Procedures. Translational Research in Medical Imaging
Marius Erdt,Marius George Linguraru,Cristina Oyarzun Laura,Raj Shekhar,Stefan Wesarg,Miguel Ángel González Ballester,Klaus Drechsler +6 more
TL;DR: Specific topics included pre-interventional image segmentation and classification, interventional and surgical planning and analysis of dynamic images, and evaluation, visualization and correction techniques for image-based procedures.