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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Journal ArticleDOI
Design and clinical evaluation of an image-guided surgical microscope with an integrated tracking system
Jaime Garcia Giraldez,Marco Caversaccio,Ion Pappas,Jens Kowal,Urs Rohrer,Gaëtan Marti,Charles Baur,Lutz-Peter Nolte,Miguel Ángel González Ballester +8 more
TL;DR: A new image-guided microscope system using augmented reality image overlays has been developed, where CT cut-views and segmented objects such as tumors that have been previously extracted from preoperative tomographic images can be directly displayed as augmented reality overlays on the microscope image.
Book ChapterDOI
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation
Karen López-Linares Román,Isaac de La Bruere,Jorge Onieva Onieva,Lasse Andresen,Jakob Qvortrup Holsting,Farbod N. Rahaghi,Iván Macía,Miguel Ángel González Ballester,Raúl San José Estépar +8 more
TL;DR: A new 3D convolutional neural network architecture is proposed, which is trained on images coming from different patient cohorts and makes use of a strong data augmentation paradigm based on realistic deformations generated by applying principal component analysis to the deformation fields obtained from the affine registration of several datasets.
Journal ArticleDOI
Generalized image models and their application as statistical models of images
TL;DR: A GIM-based registration method aimed at the construction and application of statistical models of images is proposed and a procedure based on the iterative closest point (ICP) algorithm is modified to deal with features other than position and to integrate statistical information.
Journal ArticleDOI
Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals
Gerard Martí-Juan,Gerard Sanroma-Guell,Raffaele Cacciaglia,Carles Falcon,Grégory Operto,José Luis Molinuevo,Miguel Ángel González Ballester,Juan Domingo Gispert,Gemma Piella +8 more
TL;DR: Findings suggest that age may modulate the effect of APOE ε4 and AD in a similar way, and specific regions on the hippocampal surface where the effect is modulated by significant APOEε4 linear and quadratic interactions with age are found.
Proceedings ArticleDOI
Hierarchical patch generation for multilevel statistical shape analysis by principal factor analysis decomposition
Mauricio Reyes,Miguel Ángel González Ballester,Nina Kozic,Ronald M. Summers,Marius George Linguraru +4 more
TL;DR: The method presents the automated hierarchical partitioning of organs into anatomically significant components that represent potentially important constraints for abdominal diagnosis and modeling, and that may be used as a complement to multi-level statistical shape models.